The DOI matches its Crossref record; 251 of the 251 references it cites were found in a registry or an index.
Polypharmacology by Design: A Medicinal Chemist’s Perspective on Multitargeting Compounds
Abstract
Multitargeting compounds comprising activity on more than a single biological target have gained remarkable relevance in drug discovery owing to the complexity of multifactorial diseases such as cancer, inflammation, or the metabolic syndrome. Polypharmacological drug profiles can produce additive or synergistic effects while reducing side effects and significantly contribute to the high therapeutic success of indispensable drugs such as aspirin. While their identification has long been the result of serendipity, medicinal chemistry now tends to design polypharmacology. Modern in vitro pharmacological methods and chemical probes allow a systematic search for rational target combinations and recent innovations in computational technologies, crystallography, or fragment-based design equip multitarget compound development with valuable tools. In this Perspective, we analyze the relevance of multiple ligands in drug discovery and the versatile toolbox to design polypharmacology. We conclude that despite some characteristic challenges remaining unresolved, designed polypharmacology holds enormous potential to secure future therapeutic innovation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Additionally, the simultaneous modulation of multiple targets by one or more chemical entities is correlated to the concept of lower doses usage.8”
From From combinations to multitarget-directed ligands: A continuum in Alzheimer’s disease polypharmacology (2021) · cites this paper as [8]
Citations
Cites
Takahashi, K., & Yamanaka, S. (2006) · Cell · doi:10.1016/j.cell.2006.07.024 · Cited by 26,673
Lipinski, C. A., Lombardo, F., Dominy, B. W., & Feeney, P. J. (1997) · Advanced Drug Delivery Reviews · doi:10.1016/s0169-409x(96)00423-1 · Cited by 11,484
Extended-Connectivity Fingerprints
Rogers, D. O. W., & Hahn, M. (2010) · Journal of Chemical Information and Modeling · doi:10.1021/ci100050t · Cited by 7,925
The new frontier of genome engineering with CRISPR-Cas9
Doudna, J. A., & Charpentier, E. (2014) · Science · doi:10.1126/science.1258096 · Cited by 7,062
Network pharmacology: the next paradigm in drug discovery
Hopkins, A. L. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.118 · Cited by 4,622
Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay
Molina, D. M., Jafari, R., Ignatushchenko, M., Seki, T., Larsson, E. A., Dan, C., Sreekumar, L., Cao, Y., & Nordlund, P. (2013) · Science · doi:10.1126/science.1233606 · Cited by 2,261
Wolber, G., & Langer, T. (2004) · Journal of Chemical Information and Modeling · doi:10.1021/ci049885e · Cited by 1,989
The ChEMBL bioactivity database: an update
Bento, A. P., Gaulton, A., Hersey, A., Bellis, L. J., Chambers, J. K., Davies, M., Krüger, F. A., Light, Y., Mak, L., McGlinchey, S., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt1031 · Cited by 1,520
Lessons learned from the fate of AstraZeneca's drug pipeline: a five-dimensional framework
Cook, D., Brown, D., Alexander, R., March, R., Morgan, P., Satterthwaite, G., & Pangalos, M. N. (2014) · Nature Reviews Drug Discovery · doi:10.1038/nrd4309 · Cited by 1,344
Concepts and applications of molecular similarity
Johnson, M. A., & Maggiora, G. M. (1990) · Wiley eBooks · Cited by 1,301
Designed Multiple Ligands. An Emerging Drug Discovery Paradigm
Morphy, R., & Ranković, Z. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm058225d · Cited by 1,255
Tracking cancer drugs in living cells by thermal profiling of the proteome
Savitski, M. M., Reinhard, F. B. M., Franken, H., Werner, T., Savitski, M. F., Eberhard, D., Molina, D. M., Jafari, R., Dovega, R. B., Klaeger, S., et al. (2014) · Science · doi:10.1126/science.1255784 · Cited by 1,187
Roth, B. L., Sheffler, D. J., & Kroeze, W. K. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1346 · Cited by 1,155
Multi-target-Directed Ligands To Combat Neurodegenerative Diseases
Cavalli, A., Bolognesi, M. L., Minarini, A., Rosini, M., Tumiatti, V., Recanatini, M., & Melchiorre, C. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm7009364 · Cited by 1,152
Polypharmacology: Challenges and Opportunities in Drug Discovery: Miniperspective
Anighoro, A., Bajorath, J., & Rastelli, G. (2014) · Journal of Medicinal Chemistry · doi:10.1021/jm5006463 · Cited by 1,131
Target identification using drug affinity responsive target stability (DARTS)
Lomenick, B., Hao, R., Jonai, N., Chin, R., Aghajan, M., Warburton, S., Wang, J., Wu, R. P., Gómez, F., Loo, J. A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0910040106 · Cited by 1,130
Multi-target therapeutics: when the whole is greater than the sum of the parts
Zimmermann, G. R., Lehár, J., & Keith, C. T. (2007) · Drug Discovery Today · doi:10.1016/j.drudis.2006.11.008 · Cited by 1,105
Benson, S. C., Pershadsingh, H. A., Ho, C. I., Chittiboyina, A. G., Desai, P. V., Pravenec, M., Qi, N., Wang, J., Avery, M. A., & Kurtz, T. W. (2004) · Hypertension · doi:10.1161/01.hyp.0000123072.34629.57 · Cited by 1,076
Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors
Bantscheff, M., Eberhard, D., Abraham, Y., Bastuck, S., Böesche, M., Hobson, S., Mathieson, T., Perrin, J., Raida, M., Rau, C., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1328 · Cited by 1,036
Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery
Hann, M. M., Leach, A. R., & Harper, G. (2001) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci000403i · Cited by 904
Pharmacophore modeling and applications in drug discovery: challenges and recent advances
Yang, S. (2010) · Drug Discovery Today · doi:10.1016/j.drudis.2010.03.013 · Cited by 902
The promise and peril of chemical probes
Arrowsmith, C. H., Audia, J. E., Austin, C., Baell, J., Bennett, J., Blagg, J., Bountra, C., Brennan, P. E., Brown, P. J., Bunnage, M. E., et al. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1867 · Cited by 839
Automated design of ligands to polypharmacological profiles
Besnard, J., Ruda, G. F., Setola, V., Abecassis, K., Rodriguiz, R. M., Huang, X.-P., Norval, S., Sassano, M. F., Shin, A. I., Webster, L. A., et al. (2012) · Nature · doi:10.1038/nature11691 · Cited by 832
Do Structurally Similar Molecules Have Similar Biological Activity?
Martin, Y. C., Kofron, J. L., & Traphagen, L. M. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm020155c · Cited by 806
Antibody-drug conjugates: recent advances in conjugation and linker chemistries
Tsuchikama, K., & An, Z. (2016) · Protein & Cell · doi:10.1007/s13238-016-0323-0 · Cited by 798
Sirtori, C. R. (2014) · Pharmacological Research · doi:10.1016/j.phrs.2014.03.002 · Cited by 753
A perspective on multi‐target drug discovery and design for complex diseases
Ramsay, R. R., Popović-Nikolić, M. R., Nikolic, K. M., Uliassi, E., & Bolognesi, M. L. (2018) · Clinical and Translational Medicine · doi:10.1186/s40169-017-0181-2 · Cited by 751
From magic bullets to designed multiple ligands
Morphy, R., Kay, C., & Ranković, Z. (2004) · Drug Discovery Today · doi:10.1016/s1359-6446(04)03163-0 · Cited by 738
Principles in the design of ligand-targeted cancer therapeutics and imaging agents
Srinivasarao, M., Galliford, C. V., & Low, P. S. (2015) · Nature Reviews Drug Discovery · doi:10.1038/nrd4519 · Cited by 687
Wang, Y., Bryant, S. H., Cheng, T., Wang, J., Gindulytė, A., Shoemaker, B. A., Thiessen, P. A., He, S., & Zhang, J. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1118 · Cited by 675
Targeting the cancer kinome through polypharmacology
Knight, Z. A., Lin, H., & Shokat, K. M. (2010) · Nature reviews. Cancer · doi:10.1038/nrc2787 · Cited by 674
DeepSynergy: predicting anti-cancer drug synergy with Deep Learning
Preuer, K., Lewis, R. P. I., Hochreiter, S., Bender, A., Bulusu, K. C., & Klambauer, G. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx806 · Cited by 668
Franken, H., Mathieson, T., Childs, D., Sweetman, G. M. A., Werner, T., Tögel, I., Doce, C., Gade, S., Bantscheff, M., Drewes, G., et al. (2015) · Nature Protocols · doi:10.1038/nprot.2015.101 · Cited by 651
Dubowchik, G. M., Firestone, R. A., Padilla, L., Willner, D., Hofstead, S. J., Mosure, K. W., Knipe, J. O., Lasch, S. J., & Trail, P. A. (2002) · Bioconjugate Chemistry · doi:10.1021/bc025536j · Cited by 560
High-throughput crystallography for lead discovery in drug design
Blundell, T. L., Jhoti, H., & Abell, C. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd706 · Cited by 538
Shifting from the single to the multitarget paradigm in drug discovery
Medina‐Franco, J. L., Giulianotti, M. A., Welmaker, G. S., & Houghten, R. A. (2013) · Drug Discovery Today · doi:10.1016/j.drudis.2013.01.008 · Cited by 498
Polypharmacology – Foe or Friend?
Peters, J. (2013) · Journal of Medicinal Chemistry · doi:10.1021/jm400856t · Cited by 485
Target Identification for Small Bioactive Molecules: Finding the Needle in the Haystack
Ziegler, S., Pries, V., Hedberg, C., & Waldmann, H. (2013) · Angewandte Chemie International Edition · doi:10.1002/anie.201208749 · Cited by 473
Can we rationally design promiscuous drugs?
HOPKINS, A., MASON, J., & OVERINGTON, J. (2006) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2006.01.013 · Cited by 469
Targeted polypharmacology: discovery of dual inhibitors of tyrosine and phosphoinositide kinases
Apsel, B., Blair, J. A., González, B., Nazif, T. M., Feldman, M. E., Aizenstein, B., Hoffman, R., Williams, R. L., Shokat, K. M., & Knight, Z. A. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.117 · Cited by 460
Talevi, A. (2015) · Frontiers in Pharmacology · doi:10.3389/fphar.2015.00205 · Cited by 401
Prospects for new antibiotics: a molecule-centered perspective
Walsh, C. T., & Wencewicz, T. A. (2013) · The Journal of Antibiotics · doi:10.1038/ja.2013.49 · Cited by 385
De Novo Design of Bioactive Small Molecules by Artificial Intelligence
Merk, D., Friedrich, L., Grisoni, F., & Schneider, G. (2018) · Molecular Informatics · doi:10.1002/minf.201700153 · Cited by 373
Self-citationNatural compounds and combination therapy in colorectal cancer treatment
Rejhova, A., Opattová, A., Čumová, A., Slíva, D., & Vodička, P. (2017) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.12.039 · Cited by 367
Dual kinase-bromodomain inhibitors for rationally designed polypharmacology
Ciceri, P., Müller, S., O’Mahony, A., Fedorov, O., Filippakopoulos, P., Hunt, J. P., Lasater, E. A., Pallares, G., Picaud, S., Wells, C. D., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1471 · Cited by 345
Chemical genetic discovery of targets and anti-targets for cancer polypharmacology
Dar, A. C., Das, T. K., Shokat, K. M., & Cagan, R. L. (2012) · Nature · doi:10.1038/nature11127 · Cited by 337
Dual or multi-targeting inhibitors: The next generation anticancer agents
Raghavendra, N. M., Pingili, D., Kadasi, S., Mettu, A., & Prasad, S. V. U. M. (2018) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.10.021 · Cited by 333
Designing Smart Polymer Conjugates for Controlled Release of Payloads
Seidi, F., Jenjob, R., & Crespy, D. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00006 · Cited by 330
Drug repositioning and repurposing: terminology and definitions in literature
Langedijk, J., Mantel-Teeuwisse, A. K., Slijkerman, D. S., & Schutjens, M.-H. D. B. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2015.05.001 · Cited by 327
Molecule-pharmacophore superpositioning and pattern matching in computational drug design
Wolber, G., Seidel, T., Bendix, F., & Langer, T. (2007) · Drug Discovery Today · doi:10.1016/j.drudis.2007.09.007 · Cited by 315
Multi-targeting by monotherapeutic antibacterials
Silver, L. L. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2202 · Cited by 311
Thermal proteome profiling monitors ligand interactions with cellular membrane proteins
Reinhard, F. B. M., Eberhard, D., Werner, T., Franken, H., Childs, D., Doce, C., Savitski, M. F., Huber, W. K., Bantscheff, M., Savitski, M. M., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3652 · Cited by 310
In silico repositioning of approved drugs for rare and neglected diseases
Ekins, S., Williams, A. J., Krasowski, M. D., & Freundlich, J. S. (2011) · Drug Discovery Today · doi:10.1016/j.drudis.2011.02.016 · Cited by 294
Koutsoukas, A., Simms, B., Kirchmair, J., Bond, P. J., Whitmore, A. V., Zimmer, S., Young, M. P., Jenkins, J. L., Glick, M., Glen, R. C., et al. (2011) · Journal of Proteomics · doi:10.1016/j.jprot.2011.05.011 · Cited by 291
A history of antipsychotic drug development
Shen, W. W. (1999) · Comprehensive Psychiatry · doi:10.1016/s0010-440x(99)90082-2 · Cited by 284
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning
Chen, X., Ren, B., Chen, M., Wang, Q., Zhang, L., & Yan, G. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004975 · Cited by 284
Designing multi-targeted agents: An emerging anticancer drug discovery paradigm
Fu, R.-G., Sun, Y., Sheng, W., & Liao, D. (2017) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2017.05.016 · Cited by 270
Designing Multiple Ligands – Medicinal Chemistry Strategies and Challenges
Morphy, R., & Ranković, Z. (2009) · Current Pharmaceutical Design · doi:10.2174/138161209787315594 · Cited by 262
Multi-Target Drugs: The Trend of Drug Research and Development
Lu, J., Pan, W., Yuanjia, H., & Wang, Y. (2012) · PLoS ONE · doi:10.1371/journal.pone.0040262 · Cited by 259
Cancer biomarkers: selecting the right drug for the right patient
Kelloff, G. J., & Sigman, C. C. (2012) · Nature Reviews Drug Discovery · doi:10.1038/nrd3651 · Cited by 256
Poornima, P., Kumar, J. D., Zhao, Q., Blunder, M., & Efferth, T. (2016) · Pharmacological Research · doi:10.1016/j.phrs.2016.06.018 · Cited by 254
DOGS: Reaction-Driven de novo Design of Bioactive Compounds
Hartenfeller, M., Zettl, H., Walter, M., Rupp, M., Reisen, F., Proschak, E., Weggen, S., Stark, H., & Schneider, G. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002380 · Cited by 251
Self-citationSideromycins: tools and antibiotics
Braun, V., Pramanik, A., Gwinner, T., Köberle, M., & Bohn, E. (2009) · BioMetals · doi:10.1007/s10534-008-9199-7 · Cited by 237
Krause, M., Zhu, Y., Huhn, M., Schneider‐Thoma, J., Bighelli, I., Nikolakopoulou, A., & Leucht, S. (2018) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-018-0869-3 · Cited by 234
Methods for High-throughput Drug Combination Screening and Synergy Scoring
He, L., Kulesskiy, E., Saarela, J., Turunen, L., Wennerberg, K., Aittokallio, T., & Tang, J. (2018) · Methods in Molecular Biology · doi:10.1007/978-1-4939-7493-1_17 · Cited by 232
In silico methods to address polypharmacology: current status, applications and future perspectives
Lavecchia, A., & Cerchia, C. (2015) · Drug Discovery Today · doi:10.1016/j.drudis.2015.12.007 · Cited by 230
Comparative Assessment of Scoring Functions on an Updated Benchmark: 1. Compilation of the Test Set
Li, Y., Liu, Z., Li, J., Han, L., Liu, J., Zhao, Z., & Wang, R. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500080q · Cited by 221
Multifunctional compounds: Smart molecules for multifactorial diseases
Bansal, Y., & Silakari, O. (2014) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2014.01.060 · Cited by 215
Phenotypic screening of the ToxCast chemical library to classify toxic and therapeutic mechanisms
Kleinstreuer, N. C., Yang, J., Berg, E. L., Knudsen, T. B., Richard, A. M., Martin, M. T., Reif, D. M., Judson, R. S., Polokoff, M., Dix, D. J., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2914 · Cited by 211
Selective Optimization of Side Activities: Another Way for Drug Discovery
Wermuth, C. G. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm030480f · Cited by 209
Fragments, network biology and designing multiple ligands
Morphy, R., & Ranković, Z. (2006) · Drug Discovery Today · doi:10.1016/j.drudis.2006.12.006 · Cited by 206
Modern Phenotypic Drug Discovery Is a Viable, Neoclassic Pharma Strategy
Lee, J. A., Uhlik, M. T., Moxham, C. M., Tomandl, D., & Sall, D. J. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm201649s · Cited by 197
The Physicochemical Challenges of Designing Multiple Ligands
Morphy, R., & Ranković, Z. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm0603015 · Cited by 194
Metabolic effect of telmisartan and losartan in hypertensive patients with metabolic syndrome
Vitale, C., Mercuro, G. G., Castiglioni, C., Cornoldi, A., Tulli, A., Fini, M., Volterrani, M., & Rosano, G. M. C. (2005) · Cardiovascular Diabetology · doi:10.1186/1475-2840-4-6 · Cited by 193
Modeling Parkinson's Disease in Primates: The MPTP ModelPreprint
Porras, G., Li, Q., & Bézard, E. (2011) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a009308 · Cited by 190
Computational Multitarget Drug Design
Zhang, W., Pei, J., & Lai, L. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00491 · Cited by 189
Development and Properties of β-Glucuronide Linkers for Monoclonal Antibody−Drug Conjugates
Jeffrey, S. C., Andreyka, J. B., Bernhardt, S. X., Kissler, K. M., Kline, T. B., Lenox, J. S., Moser, R. F., Nguyen, M. T., Okeley, N. M., Stone, I. J., et al. (2006) · Bioconjugate Chemistry · doi:10.1021/bc0600214 · Cited by 183
Dias, K. S. T., & Viegas, C. (2014) · Current Neuropharmacology · doi:10.2174/1570159x1203140511153200 · Cited by 178
Pharmacophore-Based Virtual Screening
Sun, H. (2008) · Current Medicinal Chemistry · doi:10.2174/092986708784049630 · Cited by 176
Da, C., & Kireev, D. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500319f · Cited by 174
Reutlinger, M., Koch, C. P., Reker, D., Todoroff, N. K., Schneider, P., Rodrigues, T., & Schneider, G. (2013) · Molecular Informatics · doi:10.1002/minf.201200141 · Cited by 169
De Novo Design at the Edge of Chaos
Schneider, P., & Schneider, G. (2016) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b01849 · Cited by 168
Hartenfeller, M., & Schneider, G. (2010) · Methods in molecular biology · doi:10.1007/978-1-60761-839-3_12 · Cited by 165
How to design multi-target drugs
Korcsmaros, T. D., Szalay, M., Böde, C., Kovács, I. A., & Csermely, P. (2007) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2.6.799 · Cited by 162
Multi-Target Directed Donepezil-Like Ligands for Alzheimer's Disease
Unzeta, M., Esteban, G., Bolea, I., Fogel, W. A., Ramsay, R. R., Youdim, M. B. H., Tipton, K. F., & Marco, J. L. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00205 · Cited by 154
Epigenetic polypharmacology: from combination therapy to multitargeted drugs
de Lera, Á. R., & Ganesan, A. (2016) · Clinical Epigenetics · doi:10.1186/s13148-016-0271-9 · Cited by 154
Hybrid Compounds as Direct Multitarget Ligands: A Review
Pedrosa, M. O., da Cruz, R. M. D., Viana, J. D. O., de Moura, R. O., Ishiki, H. M., Barbosa‐Filho, J. M., Diniz, M. D. F. F. M., Scotti, L., Scotti, L., & Mendonca, F. B. (2016) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026616666160927160620 · Cited by 154
Liu, R., Miller, P. A., Vakulenko, S. B., Stewart, N. K., Boggess, B., & Miller, M. J. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b00218 · Cited by 153
Scaffold-based discovery of indeglitazar, a PPAR pan-active anti-diabetic agent
Artis, D. R., Lin, J. J., Zhang, C., Wang, W., Mehra, U., Perreault, M., Erbe, D. V., Krupka, H. I., England, B. P., Arnold, J., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811325106 · Cited by 150
Wang, L., Esteban, G., Ojima, M., Bautista‐Aguilera, Ó. M., Inokuchi, T., Moraleda, I., Iriepa, I., Samadi, A., Youdim, M. B. H., Romero, A., et al. (2014) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2014.04.078 · Cited by 143
Wei, D., Jiang, X., Zhou, L., Chen, J., Chen, Z., He, C., Yang, K., Liu, Y., Pei, J., & Lai, L. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm8010096 · Cited by 141
Dalli, J., & Serhan, C. N. (2019) · British Journal of Pharmacology · doi:10.1111/bph.14336 · Cited by 138
Inhibitors of the Arachidonic Acid Cascade: Interfering with Multiple Pathways
Meirer, K., Steinhilber, D., & Proschak, E. (2013) · Basic & Clinical Pharmacology & Toxicology · doi:10.1111/bcpt.12134 · Cited by 137
Self-citationGhosh, M., Miller, P. A., Möllmann, U., Claypool, W. D., Schroeder, V. A., Wolter, W. R., Suckow, M. A., Yu, H., Li, S., Huang, W., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00102 · Cited by 134
Liver-specific drug targeting by coupling to bile acids.
Kramer, W., Wess, G., Schubert, G., Bickel, M., Girbig, F., Gutjahr, U., Kowalewski, S., Baringhaus, K. H., Enhsen, A., & Glombik, H. (1992) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)37003-6 · Cited by 133
Wencewicz, T. A., Long, T. E., Möllmann, U., & Miller, M. J. (2013) · Bioconjugate Chemistry · doi:10.1021/bc300610f · Cited by 132
Aripiprazole, A Drug that Displays Partial Agonism and Functional Selectivity
Tuplin, E. W. N., & Holahan, M. R. (2017) · Current Neuropharmacology · doi:10.2174/1570159x15666170413115754 · Cited by 131
Li, X., Xu, Y., Cui, H. S., Huang, T., Wang, D., Lian, B., Li, W., Qin, G., Chen, L., & Xie, L. (2017) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2017.05.008 · Cited by 128
Wencewicz, T. A., & Miller, M. J. (2013) · Journal of Medicinal Chemistry · doi:10.1021/jm400265k · Cited by 127
Harnessing synthetic lethality to predict the response to cancer treatment
Lee, J. S., Das, A., Jerby‐Arnon, L., Arafeh, R., Auslander, N., Davidson, M. A., McGarry, L., James, D. T., Amzallag, A., Park, S. G., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04647-1 · Cited by 122
Comparative Analysis of Pharmacophore Screening Tools
Sanders, M. P. A., Barbosa, A. J. M., Zarzycka, B. A., Nicolaes, G. A. F., Klomp, J. P. G., de Vlieg, J., & Río, A. D. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci2005274 · Cited by 118
Bolognesi, M. L., Cavalli, A., & Melchiorre, C. (2008) · Neurotherapeutics · doi:10.1016/j.nurt.2008.10.042 · Cited by 117
The role of fragment-based and computational methods in polypharmacology
Bottegoni, G., Favia, A. D., Recanatini, M., & Cavalli, A. (2011) · Drug Discovery Today · doi:10.1016/j.drudis.2011.08.002 · Cited by 116
Dynamic tuneable G protein-coupled receptor monomer-dimer populations
Dijkman, P. M., Castell, O. K., Goddard, A. D., Muñoz-García, J. C., de Graaf, C., Wallace, M. I., & Watts, A. G. (2018) · Nature Communications · doi:10.1038/s41467-018-03727-6 · Cited by 116
Dynamic Simulations on the Arachidonic Acid Metabolic Network
Yang, K., Ma, W., Liang, H., Ouyang, Q., Tang, C., & Lai, L. (2007) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0030055 · Cited by 115
Naidu, P. S., Booker, L., Cravatt, B. F., & Lichtman, A. H. (2009) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1124/jpet.108.143487 · Cited by 115
Strategies for modern biomarker and drug development in oncology
Smith, A. D., Roda, D., & Yap, T. A. (2014) · Journal of Hematology & Oncology · doi:10.1186/s13045-014-0070-8 · Cited by 112
Hitting multiple targets with multimeric ligands
Handl, H. L., Vágner, J., Han, H., Mash, E. A., Hruby, V. J., & Gillies, R. J. (2004) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.8.6.565 · Cited by 111
Barillari, C., Marcou, G., & Rognan, D. (2008) · Journal of Chemical Information and Modeling · doi:10.1021/ci800064z · Cited by 111
Prati, F., Cavalli, A., & Bolognesi, M. (2016) · Molecules · doi:10.3390/molecules21040466 · Cited by 110
Kurtz, S. E., Eide, C. A., Kaempf, A. J., Khanna, V., Savage, S. L., Rofelty, A., English, I. A., Ho, H., Pandya, R., Bolosky, W. J., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1703094114 · Cited by 110
Veillard, N. R., & Mach, F. (2002) · Cellular and Molecular Life Sciences · doi:10.1007/pl00012505 · Cited by 107
Profiling Bioactivity of the ToxCast Chemical Library Using BioMAP Primary Human Cell Systems
Houck, K. A., Dix, D. J., Judson, R., Kavlock, R. J., Yang, J. B., & Berg, E. L. (2009) · SLAS DISCOVERY · doi:10.1177/1087057109345525 · Cited by 107
Drug discovery and development for rare genetic disorders
Sun, W., Zheng, W., & Simeonov, A. (2017) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.38326 · Cited by 107
Bautista‐Aguilera, Ó. M., Hagenow, S., Palomino‐Antolin, A., Farré‐Alins, V., Ismaili, L., Joffrin, P., Jimeno, M. L., Soukup, O., Janočková, J., Kalinowsky, L., et al. (2017) · Angewandte Chemie International Edition · doi:10.1002/anie.201706072 · Cited by 105
Self-citationHigh-Throughput Crystallography: Reliable and Efficient Identification of Fragment Hits
Schiebel, J., Krimmer, S. G., Röwer, K., Knörlein, A., Wang, X., Park, A. Y., Stieler, M., Ehrmann, F. R., Fu, K., Radeva, N., et al. (2016) · Structure · doi:10.1016/j.str.2016.06.010 · Cited by 101
Improving the efficacy-safety balance of polypharmacology in multi-target drug discovery
Ravikumar, B., & Aittokallio, T. A. (2017) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2018.1413089 · Cited by 101
Tschinke, V., & Cohen, N. C. (1993) · Journal of Medicinal Chemistry · doi:10.1021/jm00076a016 · Cited by 100
Polypharmacology in Precision Oncology: Current Applications and Future Prospects
Antolín, A. A., Workman, P., Mestres, J., & Al‐Lazikani, B. (2016) · Current Pharmaceutical Design · doi:10.2174/1381612822666160923115828 · Cited by 97
A Computational Approach for Identifying Synergistic Drug Combinations
Gayvert, K. M., Aly, O., Platt, J. T., Bosenberg, M., Stern, D. F., & Elemento, O. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005308 · Cited by 97
Fronik, P., Gaiser, B. I., & Pedersen, D. S. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01601 · Cited by 97
Multitarget drugs: the present and the future of cancer therapy
Petrelli, A., & Valabrega, G. (2009) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656560902781907 · Cited by 93
Rationally Designed Multi-Targeted Agents Against Neurodegenerative Diseases
Geldenhuys, W. J., & der Schyf, C. J. V. (2013) · Current Medicinal Chemistry · doi:10.2174/09298673113209990112 · Cited by 93
One for All? Hitting Multiple Alzheimer's Disease Targets with One Drug
Hughes, R. E., Nikolic, K. M., & Ramsay, R. R. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00177 · Cited by 93
Orthosteric/Allosteric Bitopic Ligands: Going Hybrid at GPCRs
Valant, C., Sexton, P. M., & Christopoulos, A. (2009) · Molecular Interventions · doi:10.1124/mi.9.3.6 · Cited by 91
Kinase-likeness and Kinase-Privileged Fragments: Toward Virtual Polypharmacology
Aronov, A. M., McClain, B., Moody, C. S., & Murcko, M. A. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm701021b · Cited by 91
3-Benzisothiazolylpiperazine Derivatives as Potential Atypical Antipsychotic Agents
Howard, H. R., Lowe, J. A., III, Seeger, T., Seymour, P. A., Zorn, S. H., Maloney, P., Ewing, F. E., Newman, M. E., Schmidt, A. W., Furman, J. S., et al. (1996) · Journal of Medicinal Chemistry · doi:10.1021/jm950625l · Cited by 90
5-HT1 and 5-HT2: binding characteristics of some quipazine analogs
Glennon, R. A., Slusher, R. M., Lyon, R. A., Titeler, M., & MCKENNEY, J. D. J. (1986) · Journal of Medicinal Chemistry · doi:10.1021/jm00161a038 · Cited by 90
Opportunities and Challenges for Fatty Acid Mimetics in Drug Discovery
Proschak, E., Heitel, P., Kalinowsky, L., & Merk, D. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01287 · Cited by 90
Self-citationCefiderocol: a novel siderophore cephalosporin
Choi, J. J., & McCarthy, M. W. (2018) · Expert Opinion on Investigational Drugs · doi:10.1080/13543784.2018.1426745 · Cited by 88
Schmidt, J., Rotter, M., Weiser, T., Wittmann, S. K., Weizel, L., Kaiser, A., Heering, J., Goebel, T., Angioni, C., Wurglics, M., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00398 · Cited by 87
Self-citationMiller, M. L., Molinelli, E. J., Nair, J. S., Sheikh, T., Samy, R., Jing, X., He, Q., Korkut, A., Crago, A. M., Singer, S., et al. (2013) · Science Signaling · doi:10.1126/scisignal.2004014 · Cited by 86
Aronson, J. K. (2004) · British Journal of Clinical Pharmacology · doi:10.1111/j.1365-2125.2004.02067.x · Cited by 85
Cardioprotection by Metformin: Beneficial Effects Beyond Glucose Reduction
Varjabedian, L., Bourji, M., Pourafkari, L., & Nader, N. D. (2018) · American Journal of Cardiovascular Drugs · doi:10.1007/s40256-018-0266-3 · Cited by 85
Experimental Models of Parkinson's Disease: From the Static to the Dynamic
Bézard, E., Imbert, C., & Gross, C. E. (1998) · Reviews in the Neurosciences · doi:10.1515/revneuro.1998.9.2.71 · Cited by 83
Multivalent Ligand: Design Principle for Targeted Therapeutic Delivery Approach
Chittasupho, C. (2012) · Therapeutic Delivery · doi:10.4155/tde.12.99 · Cited by 81
Quantification of Pathway Cross-talk Reveals Novel Synergistic Drug Combinations for Breast Cancer
Jaeger, S., Igea, A., Arroyo, R., Alcalde, V., Cánovas, B., Orozco, M., Nebreda, Á. R., & Aloy, P. (2016) · Cancer Research · doi:10.1158/0008-5472.can-16-0097 · Cited by 81
Dual Aromatase−Steroid Sulfatase Inhibitors
Woo, L. W. L., Bubert, C., Sutcliffe, O. B., Smith, A., Chander, S. K., Mahon, M. F., Purohit, A., Reed, M. J., & Potter, B. V. L. (2007) · Journal of Medicinal Chemistry · doi:10.1021/jm061462b · Cited by 80
Wong, E. H. F., Tarazi, F. I., & Shahid, M. (2010) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2010.02.001 · Cited by 78
Key Targets for Multi-Target Ligands Designed to Combat Neurodegeneration
Ramsay, R. R., Májeková, M., Medina, M., & Valoti, M. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00375 · Cited by 76
Huang, L., Jiang, Y., & Chen, Y. (2017) · Scientific Reports · doi:10.1038/srep40752 · Cited by 76
The use of natural compounds for the targeting and chemoprevention of ovarian cancer
Pistollato, F., Iglesias, R. C., Ruíz, R., Obregón, S. A., Crespo, J., López, L. A. D., Giampieri, F., & Battino, M. (2017) · Cancer Letters · doi:10.1016/j.canlet.2017.09.050 · Cited by 76
Acid-cleavable thiomaleamic acid linker for homogeneous antibody–drug conjugation
Castañeda, L., Maruani, A., Schumacher, F. F., Miranda, E., Chudasama, V., Chester, K. A., Baker, J. R., Smith, M. E. B., & Caddick, S. (2013) · Chemical Communications · doi:10.1039/c3cc45220d · Cited by 74
Drug Repurposing and the Medicinal Chemist
Aubé, J. (2012) · ACS Medicinal Chemistry Letters · doi:10.1021/ml300114c · Cited by 73
Zumla, A. I., Rao, M., Dodoo, E., & Maeurer, M. J. (2016) · BMC Medicine · doi:10.1186/s12916-016-0635-1 · Cited by 73
Apelt, J., Ligneau, X., Pertz, H. H., Arrang, J., Ganellin, C. R., Schwartz, J., Schunack, W. G., & Stark, H. (2002) · Journal of Medicinal Chemistry · doi:10.1021/jm0110845 · Cited by 71
Self-citationTarget Fishing for Chemical Compounds Using Target-Ligand Activity Data and Ranking Based Methods
Wale, N., & Karypis, G. (2009) · Journal of Chemical Information and Modeling · doi:10.1021/ci9000376 · Cited by 71
Designed Multiple Ligands: Basic Research vs Clinical Outcomes
Costantino, L., & Barlocco, D. (2012) · Current Medicinal Chemistry · doi:10.2174/092986712801215883 · Cited by 69
Polypharmacology of dopamine receptor ligands
Butini, S., Nikolic, K. M., Kassel, S., Brückmann, H., Filipić, S., Agbaba, D. D., Gemma, S., Brogi, S., Brindisi, M., Campiani, G., et al. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2016.03.011 · Cited by 69
Self-citationPrati, F., Simone, A. D., Armirotti, A., Summa, M., Pizzirani, D., Scarpelli, R., Bertozzi, S. M., Pérez, D. I., Andrisano, V., Pérez‐Castillo, A., et al. (2015) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.5b00121 · Cited by 68
De Novo Design of Multitarget Ligands with an Iterative Fragment-Growing Strategy
Shang, E., Yuan, Y., Chen, X., Liu, Y., Pei, J., & Lai, L. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500021v · Cited by 68
Dolles, D., Hoffmann, M., Gunesch, S., Marinelli, O., Möller, J., Santoni, G., Chatonnet, A., Lohse, M. J., Wittmann, H.-J., Strasser, A., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b01760 · Cited by 67
Designed Multiple Ligands: An Emerging Anti-HIV Drug Discovery Paradigm
Zhan, P., & Liu, X. (2009) · Current Pharmaceutical Design · doi:10.2174/138161209788453266 · Cited by 66
Al‐Ali, H., Lee, D.-H., Danzi, M. C., Nassif, H., Gautam, P., Wennerberg, K., Zuercher, B., Drewry, D. H., Lee, J. K., Lemmon, V., et al. (2015) · ACS Chemical Biology · doi:10.1021/acschembio.5b00289 · Cited by 66
Tintori, C., Corradi, V., Magnani, M., Manetti, F., & Botta, M. (2008) · Journal of Chemical Information and Modeling · doi:10.1021/ci800105p · Cited by 65
Aromatase and Dual Aromatase‐Steroid Sulfatase Inhibitors from the Letrozole and Vorozole Templates
Wood, P. M., Woo, L. W. L., THOMAS, M. P., Mahon, M. F., Purohit, A., & Potter, B. V. L. (2011) · ChemMedChem · doi:10.1002/cmdc.201100145 · Cited by 64
Multitarget ligands in antibacterial research: progress and opportunities
East, S. P., & Silver, L. L. (2012) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2013.743991 · Cited by 64
New Insights Into the Anti-Diabetic Actions of Metformin: From the Liver to the Gut
Wu, T., Horowitz, M., & Rayner, C. K. (2017) · Expert Review of Gastroenterology & Hepatology · doi:10.1080/17474124.2017.1273769 · Cited by 64
Serotonin, β‐amyloid, and cognition in Parkinson disease
Kotagal, V., Spino, C., Bohnen, N. I., Koeppe, R., & Albin, R. L. (2018) · Annals of Neurology · doi:10.1002/ana.25236 · Cited by 64
Wambaugh, M. A., Shakya, V. P. S., Lewis, A. J., Mulvey, M. A., & Brown, J. C. S. (2017) · PLOS Biology · doi:10.1371/journal.pbio.2001644 · Cited by 63
A whole-animal platform to advance a clinical kinase inhibitor into new disease space
Sonoshita, M., Scopton, A. P., Ung, P. M. U., Murray, M. A., Silber, L., Maldonado, A. Y., Real, A. M., Schlessinger, A., Cagan, R. L., & Dar, A. C. (2018) · Nature Chemical Biology · doi:10.1038/nchembio.2556 · Cited by 63
Imig, J. D., Walsh, K., Khan, A. H., Nagasawa, T., Shaw, M. C., Shaw, S. M., & Hammock, B. D. (2012) · Experimental Biology and Medicine · doi:10.1258/ebm.2012.012225 · Cited by 60
The story of antipsychotics: Past and present
Ramachandraiah, C., Subramaniam, N., & Tancer, M. E. (2009) · Indian Journal of Psychiatry · doi:10.4103/0019-5545.58304 · Cited by 60
Serendipity in Cancer Drug Discovery: Rational or Coincidence?
Prasad, S., Gupta, S. C., & Aggarwal, B. B. (2016) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2016.03.004 · Cited by 59
Li, Y., Wang, P., Li, X. X., Yu, C. Y., Yang, H. J., Zhou, J., Xue, W., Tan, J., & Zhu, F. (2016) · PLoS ONE · doi:10.1371/journal.pone.0165737 · Cited by 59
Tao, L., Zhu, F., Xu, F., Chen, Z., Jiang, Y., & Chen, Y. (2015) · Pharmacological Research · doi:10.1016/j.phrs.2015.09.019 · Cited by 56
Small molecules with anti-inflammatory properties in clinical development
Hanke, T., Merk, D., Steinhilber, D., Geißlinger, G., & Schubert‐Zsilavecz, M. (2015) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2015.11.011 · Cited by 54
Self-citationMulti-target therapeutics for neuropsychiatric and neurodegenerative disorders
Bawa, P., Pradeep, P., Kumar, P., Choonara, Y. E., Modi, G., & Pillay, V. (2016) · Drug Discovery Today · doi:10.1016/j.drudis.2016.08.001 · Cited by 54
Casimiro‐Garcia, A., Filzen, G. F., Flynn, D. A., Bigge, C. F., Chen, J., Davis, J. A., Dudley, D. A., Edmunds, J. J., Esmaeil, N., Geyer, A. G., et al. (2011) · Journal of Medicinal Chemistry · doi:10.1021/jm200409s · Cited by 53
1-Naphthylpiperazine derivatives as potential atypical antipsychotic agents
Lowe, J. A., III, Seeger, T., Nagel, A. A., Howard, H. R., Seymour, P. A., Heym, J. H., Ewing, F. E., Newman, M. E., & Schmidt, A. W. (1991) · Journal of Medicinal Chemistry · doi:10.1021/jm00110a016 · Cited by 53
Blöcher, R., Lamers, C., Wittmann, S. K., Merk, D., Hartmann, M., Weizel, L., Diehl, O., Brüggerhoff, A., Boß, M., Kaiser, A., et al. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b01239 · Cited by 53
Self-citationHigh-content screening of small compounds on human embryonic stem cells.
Barbaric, I., Gokhale, P., & Andrews, P. (2010) · Biochemical Society Transactions · doi:10.1042/bst0381046 · Cited by 52
Prediction of Antibiotic Interactions Using Descriptors Derived from Molecular Structure
Mason, D. J., Stott, I. P., Ashenden, S. K., Weinstein, Z., Karakoc, I., Meral, S., Kuru, N., Bender, A., & Cokol, M. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00204 · Cited by 52
The pleiotropic functions of aspirin: mechanisms of action
Amin, A. R., Attur, M. G., Pillinger, M. H., & Abramson, S. B. (1999) · Cellular and Molecular Life Sciences · doi:10.1007/s000180050432 · Cited by 51
Arooj, M., Sakkiah, S., Cao, G. P., & Lee, K. W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060470 · Cited by 51
Advances in computational approaches in identifying synergistic drug combinations
Sheng, Z., Sun, Y., Yin, Z., Tang, K., & Cao, Z. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx047 · Cited by 50
Dual-Target Virtual Screening by Pharmacophore Elucidation and Molecular Shape Filtering
Moser, D. M., Wisniewska, J. M., Hahn, S., Achenbach, J., Buscató, E., Klingler, F., Hofmann, B., Steinhilber, D., & Proschak, E. (2012) · ACS Medicinal Chemistry Letters · doi:10.1021/ml200286e · Cited by 49
Self-citationPolypharmacology in Drug Discovery
Peters, J. (2012) · Wiley eBooks · doi:10.1002/9781118098141 · Cited by 49
Ko, W. K. D., & Bézard, E. (2017) · Experimental Neurology · doi:10.1016/j.expneurol.2017.07.020 · Cited by 48
Effects of Aspirin on Endothelial Function and Hypertension
Dzeshka, M. S., Shantsila, A., & Lip, G. Y. H. (2016) · Current Hypertension Reports · doi:10.1007/s11906-016-0688-8 · Cited by 47
Serotonergic Approaches in Parkinson’s Disease: Translational Perspectives, an Update
Huot, P., Sgambato, V., Fox, S. H., & McCreary, A. C. (2017) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.6b00440 · Cited by 47
Synthesis of bile acid - drug conjugates: Potential drug - shuttles for liver specific targeting
Wess, G., Kramer, W., Schubert, G., Enhsen, A., Baringhaus, K. H., Glombik, H., Müllner, S., Bock, K., Kleine, H. P., John, M., et al. (1993) · Tetrahedron Letters · doi:10.1016/0040-4039(93)89021-h · Cited by 45
Characterization of New PPARγ Agonists: Analysis of Telmisartan’s Structural Components
Goebel, M., Clemenz, M., Staels, B., Unger, T., Kintscher, U., & Gust, R. (2009) · ChemMedChem · doi:10.1002/cmdc.200800285 · Cited by 45
Accessing target information by virtual parallel screening—The impact on natural product research
Rollinger, J. M. (2008) · Phytochemistry Letters · doi:10.1016/j.phytol.2008.12.002 · Cited by 45
Frett, B., Carlomagno, F., Moccia, M. L., Brescia, A., Federico, G., Falco, V. D., Admire, B., Chen, Z., Qi, W., Santoro, M. M., et al. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201501104 · Cited by 45
Lin, H.-H., Zhang, L., Yan, R., Lu, J., & Yuanjia, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-12061-8 · Cited by 45
The Chemical Design and Synthesis of Linkers Used in Antibody Drug Conjugates
Frigerio, M., & Kyle, A. F. (2018) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026618666180118155847 · Cited by 45
ADME and Safety Aspects of Non-cleavable Linkers in Drug Discovery and Development
Walles, M., Connor, A., & Hainzl, D. (2018) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026618666180118153502 · Cited by 45
Jasper, J., Humbeck, L., Brinkjost, T., & Koch, O. (2018) · Journal of Cheminformatics · doi:10.1186/s13321-018-0264-0 · Cited by 44
Khan, A. H., Kolb, L. L., Skibba, M. E., Hartmann, M., Blöcher, R., Proschak, E., & Imig, J. D. (2018) · Diabetologia · doi:10.1007/s00125-018-4685-0 · Cited by 44
Self-citationUse of biomarkers in ALS drug development and clinical trials
Bakkar, N., Boehringer, A. V., & Bowser, R. P. (2014) · Brain Research · doi:10.1016/j.brainres.2014.10.031 · Cited by 43
He, C., Wu, Y., Lai, Y., Cai, Z., Liu, Y., & Lai, L. (2012) · Molecular BioSystems · doi:10.1039/c2mb05503a · Cited by 43
Hu, H., Zhao, X., Kaushik, S., Robillard, L., Barthelet, A., Lin, K., Shah, K. N., Simmons, A. D., Raponi, M., Harding, T. C., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.093 · Cited by 42
Leveraging Large-scale Behavioral Profiling in Zebrafish to Explore Neuroactive Polypharmacology
McCarroll, M. N., Gendelev, L., Keiser, M. J., & Kokel, D. (2016) · ACS Chemical Biology · doi:10.1021/acschembio.5b00800 · Cited by 41
Targeting Epigenetic Networks with Polypharmacology: A New Avenue to Tackle Cancer
Franci, G., Miceli, M., & Altucci, L. (2010) · Epigenomics · doi:10.2217/epi.10.62 · Cited by 40
Khan, N., Saad, A. K., Nurulain, S. M., Darras, F. H., Decker, M. W., & Sadek, B. S. (2015) · Behavioural Brain Research · doi:10.1016/j.bbr.2015.10.022 · Cited by 40
Telmisartan Improves Insulin Resistance: A Meta-Analysis
Wang, Y., Qiao, S., De-wu, H., Rong, X.-R., Wang, Y.-X., Xue, J., & Yang, J. (2018) · American Journal of Therapeutics · doi:10.1097/mjt.0000000000000733 · Cited by 40
Hybrid Dual Aromatase-Steroid Sulfatase Inhibitors with Exquisite Picomolar Inhibitory Activity
Woo, L. W. L., Bubert, C., Purohit, A., & Potter, B. V. L. (2010) · ACS Medicinal Chemistry Letters · doi:10.1021/ml100273k · Cited by 39
Exploring the Chemical Space of Multitarget Ligands Using Aligned Self-Organizing Maps
Achenbach, J., Klingler, F., Blöcher, R., Moser, D. M., Häfner, A., Rödl, C. B., Kretschmer, S. B. M., Krüger, B., Löhr, F., Stark, H., et al. (2013) · ACS Medicinal Chemistry Letters · doi:10.1021/ml4002562 · Cited by 38
Self-citationLiu, Y., & Zhao, H. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw509 · Cited by 38
Research works printed but not linked: 1
- Glen R. C., 2006, IDrugs, 9, 199
Cited by
Sorted by citations
Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021) · Molecular Diversity · doi:10.1007/s11030-021-10217-3 · Cited by 1,473
“It is best suited for designing a promising therapeutic agent for more complex diseases such as cancer, neurodegenerative disease (NDDs), diabetes, heart failure, and many others [353–355].”
BackgroundTowards the sustainable discovery and development of new antibiotics
Miethke, M., Pieroni, M., Weber, T., Brönstrup, M., Hammann, P., Halby, L., Arimondo, P. B., Glaser, P., Aigle, B., Bode, H. B., et al. (2021) · Nature Reviews Chemistry · doi:10.1038/s41570-021-00313-1 · Cited by 1,228
RNA-Based Therapeutics: From Antisense Oligonucleotides to miRNAs
Bajan, S., & Hutvágner, G. (2020) · Cells · doi:10.3390/cells9010137 · Cited by 409
Image-based profiling for drug discovery: due for a machine-learning upgrade?
Chandrasekaran, S. N., Ceulemans, H., Boyd, J. D., & Carpenter, A. E. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-00117-w · Cited by 407
Phenotypic drug discovery: recent successes, lessons learned and new directions
Vincent, F., Nueda, A., Lee, J. L. C., Schenone, M., Prunotto, M., & Mercola, M. A. (2022) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00472-w · Cited by 397
Metadata
- Authors
- Proschak, E., Stark, H., & Merk, D.
- Affiliations
- Goethe University Frankfurt (DE)
- Heinrich Heine University Düsseldorf (DE)
- Corresponding author
- Merk, Daniel
- Venue
- Journal of Medicinal Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-23
- Volume
- 62
- Issue
- 2
- Pages
- 420-444
- ISSN
- 0022-2623 (ISSN-L)
- 1520-4804
- OpenAlex
- W2884740260
- Cited by
- 498
- References
- 251
- Citations by year
- 2026: 51 · 2025: 56 · 2024: 74 · 2023: 60 · 2022: 86 · 2021: 64 · 2020: 67 · 2019: 39 · 2018: 1
- FWCI
- 35.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (submittedVersion)
- Fraunhofer-Publica (Fraunhofer-Gesellschaft) (submittedVersion)
- Funders
- Eidgen?ssische Technische Hochschule Z?rich (16-2 FEL-07)
- Deutsche Forschungsgemeinschaft (SFB1039, PR1405/2-2, PR1405/4-1)
- European Cooperation in Science and Technology (CA15135)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Physical Sciences › Chemistry › Organic Chemistry › Heterocyclic Compound Synthesis and Bioactivity
- Keywords
- polypharmacology, multi-target drug design, drug discovery, chemical probes, fragment-based design, crystallography, computer-aided drug design, complex diseases, drug synergy, side effect reduction
- MeSH terms
- Machine Learning, Animals, Chemistry, Pharmaceutical, Humans, Ligands, Structure-Activity Relationship, Drug Design, Crystallography, X-Ray, Models, Animal, Metabolic Networks and Pathways
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review