Trends in the exploitation of novel drug targets

Goodman & Gilman's The Pharmacological Basis of Therapeutics

Brunton, L. L. (1985) · Cited by 7,321

Goodman and Gilman's the Pharmacological Basis of Therapeutics

Stigelman, W. H., & Pharm, D. (1986) · Military Medicine · doi:10.1093/milmed/151.1.386 · Cited by 6,796

Network pharmacology: the next paradigm in drug discovery

Hopkins, A. L. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.118 · Cited by 4,622

DrugBank: a comprehensive resource for in silico drug discovery and exploration

Wishart, D. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj067 · Cited by 3,892

How to improve R&D productivity: the pharmaceutical industry's grand challenge

Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566

How many drug targets are there?

Overington, J. P., Al-Lazikani, B., & Hopkins, A. L. (2006) · Nature Reviews Drug Discovery · doi:10.1038/nrd2199 · Cited by 3,505

The druggable genome

Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd892 · Cited by 3,305

DrugBank: a knowledgebase for drugs, drug actions and drug targets

Wishart, D. S., Knox, C., Guo, A. C., Cheng, D., Shrivastava, S., Tzur, D., Gautam, B., & Hassanali, M. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm958 · Cited by 2,896

Drug Discovery: A Historical Perspective

Drews, J. (2000) · Science · doi:10.1126/science.287.5460.1960 · Cited by 2,805

DrugBank 3.0: a comprehensive resource for 'Omics' research on drugs

Knox, C., Law, V., Jewison, T., Liu, P., Ly, S., Frolkis, A., Pon, A., Banco, K., Mak, C., Neveu, V., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq1126 · Cited by 1,832

Maestro 9.4 as a Tool in the Structure Based Screening of Glycoalkaloids and Related Compounds, Targeting Aldose Reductase

Lalitha, P., & Firdhouse, M. J. (2015) · Trends in Bioinformatics · doi:10.3923/tb.2015.26.36 · Cited by 11

Development of a Versatile and Sensitive Direct Ligand Binding Assay for Human NR5A Nuclear Receptors

D’Agostino, E. H., Flynn, A. R., Cornelison, J. L., Mays, S. G., Patel, A. B., Jui, N. T., & Ortlund, E. A. (2019) · ACS Medicinal Chemistry Letters · doi:10.1021/acsmedchemlett.9b00442 · Cited by 11

Topology based identification and comprehensive classification of four-transmembrane helix containing proteins (4TMs) in the human genome

Attwood, M. M., Krishnan, A., Pivotti, V., Yazdi, S., Almén, M. S., & Schiöth, H. B. (2016) · BMC Genomics · doi:10.1186/s12864-016-2592-7 · Cited by 11

Fenoprofen—An Old Drug Rediscovered as a Biased Allosteric Enhancer for Melanocortin Receptors

Yuan, X., & Tao, Y. (2018) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.8b00347 · Cited by 11

Parallel Interrogation of β-Arrestin2 Recruitment for Ligand Screening on a GPCR-Wide Scale using PRESTO-Tango Assay

Zeghal, M., Laroche, G., & Giguère, P. M. (2020) · Journal of Visualized Experiments · doi:10.3791/60823 · Cited by 12

Functional Selectivity of Cannabinoid Type 1 G Protein-Coupled Receptor Agonists in Transactivating Glycosylated Receptors on Cancer Cells to Induce Epithelial–Mesenchymal Transition Metastatic Phenotype

Bunsick, D. A., Matsukubo, J., Aldbai, R., Baghaie, L., & Szewczuk, M. R. (2024) · Cells · doi:10.3390/cells13060480 · Cited by 10

Using Zebrafish G Protein-Coupled Receptors to Obtain a Better Appreciation of the Impact of Pharmaceuticals in Wastewater to Fish

Zhang, H., Cao, M., Ihara, M. O., Jürgens, M. D., Johnson, A. C., Chen, J., Tanaka, H., & Ihara, M. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c07657 · Cited by 10

Capturing the native structure of membrane proteins using vesicles

Liu, H., Tse, C., & Dang, S. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2423407122 · Cited by 10

Monocarbonyl synthetic curcumin analogues with antitumour potential. Chemical and biological aspects

Неганова, М. Е., Александрович, Ю. П., Aleksandrova, Y. R., & Brel, V. K. (2025) · Russian Chemical Reviews · doi:10.59761/rcr5189 · Cited by 10

A green, efficient and stable platform based on hyperbranched quaternized hydrothermal magnetic chitosan nanospheres integrated cytomembranes for screening drug candidates from natural products

Sang, Z., Jiang, Z., Liu, S., Ye, P., Hu, S., Zhang, Q., Zhu, Y., Qin, L., & Zhao, Q. (2023) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2023.129039 · Cited by 10

GPCR profiling: from hits to leads and from genotype to phenotype

Cvijic, M. E., Sum, C. S., Alt, A. J., & Zhang, L. (2015) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2015.10.005 · Cited by 10

Homology modeling, docking, and molecular dynamics simulation of the receptor GALR2 and its interactions with galanin and a positive allosteric modulator

Hui, W., Cheng, Q., Liu, T., & Ouyang, Q. (2016) · Journal of Molecular Modeling · doi:10.1007/s00894-016-2944-x · Cited by 10

Amino acid composition analysis of human secondary transport proteins and implications for reliable membrane topology prediction

Saidijam, M., Azizpour, S., & Patching, S. G. (2016) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2016.1167622 · Cited by 10

Computational Drug Target Screening through Protein Interaction Profiles

Vilar, S., Quezada, E., Uriarte, E., Costanzi, S., Borges, F., Viña, D., & Hripcsak, G. M. (2016) · Scientific Reports · doi:10.1038/srep36969 · Cited by 10

Simultaneous Multiple MS Binding Assays for the Dopamine, Norepinephrine, and Serotonin Transporters

Neiens, P., Simone, A. D., Höfner, G. C., & Wanner, K. T. (2018) · ChemMedChem · doi:10.1002/cmdc.201700737 · Cited by 10

Integrating Multifaceted Information to Predict Mycobacterium tuberculosis -Human Protein-Protein Interactions

Sun, J., Yang, L., Chen, X., De, K., & Liu, R. (2018) · Journal of Proteome Research · doi:10.1021/acs.jproteome.8b00497 · Cited by 10

A dual controllability analysis of influenza virus-host protein-protein interaction networks for antiviral drug target discovery

Ackerman, E. E., Alcorn, J. F., Hase, T., & Shoemaker, J. E. (2019) · BMC Bioinformatics · doi:10.1186/s12859-019-2917-z · Cited by 10

Aminooxy‐functionalized DOTA for radiolabeling of oxidized antibodies: evaluation of site‐specific 111In‐labeled trastuzumab

Béjot, R., Goggi, J., Moonshi, S. S., Padmanabhan, P., & Bhakoo, K. K. (2012) · Journal of Labelled Compounds and Radiopharmaceuticals · doi:10.1002/jlcr.2950 · Cited by 10

Identification of a Mitochondrial DNA Polymerase Affecting Cardiotoxicity of Sunitinib Using a Genome-Wide Screening onS. pombeDeletion Library

Kim, D.-M., Kim, H., Yeon, J.-H., Lee, J., & Park, H.-O. (2015) · Toxicological Sciences · doi:10.1093/toxsci/kfv210 · Cited by 10

G-Protein/β-Arrestin-Linked Fluctuating Network of G-Protein-Coupled Receptors for Predicting Drug Efficacy and Bias Using Short-Term Molecular Dynamics Simulation

Ichikawa, O., Fujimoto, K., Yamada, A., Okazaki, S., & Yamazaki, K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155816 · Cited by 10

Potential of Nociceptin/Orphanin FQ Peptide Analogs for Drug Development

Wtorek, K., & Janecka, A. E. (2020) · Chemistry & Biodiversity · doi:10.1002/cbdv.202000871 · Cited by 10

G‐Protein–Coupled Receptor Deorphanizations

Saito, Y., & Civelli, O. (2005) · International review of neurobiology · doi:10.1016/s0074-7742(04)65007-0 · Cited by 10

A comprehensive application of FiveFold for conformation ensemble-based protein structure prediction

Niazi, S. K., & Yang, J. (2025) · Scientific Reports · doi:10.1038/s41598-025-17022-0 · Cited by 9

Emerging Target Families: Intractable Targets

Knapp, S. (2015) · Handbook of experimental pharmacology · doi:10.1007/164_2015_28 · Cited by 9

Role of spatial inhomogenity in GPCR dimerisation predicted by receptor association–diffusion models

Deshpande, S. A., Pawar, A. B., Dighe, A. V., Athale, C. A., & Sengupta, D. (2017) · Physical Biology · doi:10.1088/1478-3975/aa6b68 · Cited by 9

Quantitative Proteomics Reveals the Development of HBV-Associated Glomerulonephritis Triggered by the Downregulation of SLC7A7

Zuo, T., Chen, P., Jing, S., Zhang, T., Chang, L., Xu, F., Zhao, C., & Xu, P. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00799 · Cited by 9

The TAAR1 inhibitor EPPTB suppresses neuronal excitability and seizure activity in mice

Kong, Q., Zhang, H., Wang, M., Zhang, J., & Zhang, Y. (2021) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2021.03.018 · Cited by 9

TrendyGenes, a computational pipeline for the detection of literature trends in academia and drug discovery

Nájera, G. S., Narganes-Carlón, D., & Crowther, D. J. (2021) · Scientific Reports · doi:10.1038/s41598-021-94897-9 · Cited by 9

Development of aptamers against unpurified proteins

Goto, S., Tsukakoshi, K., & Ikebukuro, K. (2017) · Biotechnology and Bioengineering · doi:10.1002/bit.26389 · Cited by 9

The Novel Application of Geometric Morphometrics with Principal Component Analysis to Existing G Protein-Coupled Receptor (GPCR) Structures

Wiseman, D. N., Samra, N., Lara, M. M. R., Penrice, S., & Goddard, A. D. (2021) · Pharmaceuticals · doi:10.3390/ph14100953 · Cited by 9

Design, Synthesis and Biological Evaluation of Neogliptin, a Novel 2-Azabicyclo[2.2.1]heptane-Based Inhibitor of Dipeptidyl Peptidase-4 (DPP-4)

Maslov, I. O., Zinevich, T. V., Kirichenko, O. G., Trukhan, M. V., Shorshnev, S. V., Tuaeva, N. O., Gureev, M., Dahlén, A. D., Porozov, Y. B., Schiöth, H. B., et al. (2022) · Pharmaceuticals · doi:10.3390/ph15030273 · Cited by 9

Are Label-Free Investigations the Best Approach to Drug Discovery?

Ye, F. (2015) · Future Medicinal Chemistry · doi:10.4155/fmc.15.84 · Cited by 9

Multi-targeted therapy for leprosy: Insilico strategy to overcome multi drug resistance and to improve therapeutic efficacy

Anusuya, S., & Natarajan, J. (2012) · Infection Genetics and Evolution · doi:10.1016/j.meegid.2012.08.013 · Cited by 9

Adhesion GPCRs are widely expressed throughout the subsections of the gastrointestinal tract

Badiali, L., Cedernaes, J., Olszewski, P. K., Nylander, O., Vergoni, A. V., & Schiöth, H. B. (2012) · BMC Gastroenterology · doi:10.1186/1471-230x-12-134 · Cited by 9

Chemical Proteomics for Target Discovery of Head-to-Tail Cyclized Mini-Proteins

Hellinger, R., Thell, K., Vasileva, M., Muhammad, T., Gunasekera, S., Kümmel, D., Göransson, U., Becker, C., & Gruber, C. W. (2017) · Frontiers in Chemistry · doi:10.3389/fchem.2017.00073 · Cited by 9

Leukotriene B4 receptor 2 gene polymorphism (rs1950504, Asp196Gly) leads to enhanced cell motility under low-dose ligand stimulation

Jang, J.-H., Wei, J.-D., Kim, M., Kim, J., Cho, A. E., & Kim, J. (2017) · Experimental & Molecular Medicine · doi:10.1038/emm.2017.192 · Cited by 9

Single-cell membrane drug delivery using porous pen nanodeposition

Yang, Y., Yu, J., Esfahani, A. M., Seiffert-Sinha, K., Xi, N., Lee, I., Sinha, A. A., Chen, L., Sun, Z., Yang, R., et al. (2018) · Nanoscale · doi:10.1039/c8nr02600a · Cited by 9

Modeling Analysis of Potential Target of Dolastatin 16 by Computational Virtual Screening

Liang, T.-T., Zhao, Q., He, S., Mu, F., Deng, W., & Han, B. (2018) · Chemical and Pharmaceutical Bulletin · doi:10.1248/cpb.c17-00966 · Cited by 9

Jiawei Foshou San Induces Apoptosis in Ectopic Endometrium Based on Systems Pharmacology, Molecular Docking, and Experimental Evidence

Wei, J., Zhao, B., Zhang, C., Shen, B., Zhang, Y., Li, C., & Chen, Y. (2019) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2019/2360367 · Cited by 9

Signal Transduction Profiling of Angiotensin II Type 1 Receptor With Mutations Associated to Atrial Fibrillation in Humans

Simões, S. C., Balico-Silva, A. L., Parreiras‐e‐Silva, L. T., Bitencourt, A. L. B., Bouvier, M., & Costa-Neto, C. M. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.600132 · Cited by 9

Trastuzumab and docetaxel in a preclinical organotypic breast cancer model using tissue slices from mammary fat pad: Translational relevance

Vesci, L., Carollo, V., Roscilli, G., Aurisicchio, L., Ferrara, F. F., Spagnoli, L. G., & Santis, R. D. (2015) · Oncology Reports · doi:10.3892/or.2015.4074 · Cited by 9

Multivalent Approaches and Beyond: Novel Tools for the Investigation of Dopamine D 2 Receptor Pharmacology

Kopinathan, A., Scammells, P. J., Lane, J. R., & Capuano, B. (2016) · Future Medicinal Chemistry · doi:10.4155/fmc-2016-0010 · Cited by 9

Exploratory Visualization of Misclassified GPCRs from Their Transformed Unaligned Sequences Using Manifold Learning Techniques

Domínguez, M. I. C., Vellido, A., König, C., Alquézar, R., & Giraldo, J. (2014) · Cited by 8

Network Pharmacology and Molecular Docking Validation to Reveal the Pharmacological Mechanisms of Kangai Injection against Colorectal Cancer

Zheng, B., Wang, Q., Yue, Y., Li, J., Li, X., & Wang, X. (2022) · BioMed Research International · doi:10.1155/2022/3008842 · Cited by 8

The Research Progress of Metformin Regulation of Metabolic Reprogramming in Malignant Tumors

Sui, Q., Yang, H., Hu, Z., Jin, X., Chen, Z., Jiang, W., & Sun, F. (2024) · Pharmaceutical Research · doi:10.1007/s11095-024-03783-2 · Cited by 8

Improving virtual screening of G protein-coupled receptors via ligand-directed modeling

Coudrat, T., Simms, J., Christopoulos, A., Wootten, D. L., & Sexton, P. M. (2017) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005819 · Cited by 8

Predicting Drug-Target Interactions by Node2vec Node Embedding in Molecular Associations Network

Chen, Z., You, Z., Guo, Z.-H., Yi, H.-C., Luo, G., & Wang, Y. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-60802-6_31 · Cited by 8

Human Protein Complex-Based Drug Signatures for Personalized Cancer Medicine

Wang, F., Ding, Y., Lei, X., Liao, B., & Wu, F. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3120933 · Cited by 8

Enhancing Top-Down Characterization of Membrane Proteoforms with C8-Functional Amine-Bridged Hybrid Monoliths

Sun, Y. R., Liang, Y., Wang, C., Zhao, B., Liang, Z., Zhang, X., Zhang, Y., & Zhang, L. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c05401 · Cited by 8

Nuclear Receptor Modulators — Current Approaches and Future Perspectives

Kronenberger, T., Keminer, O., Wrenger, C., & Windshügel, B. (2015) · InTech eBooks · doi:10.5772/59666 · Cited by 9

Genome network medicine: innovation to overcome huge challenges in cancer therapy

Roukos, D. H. (2013) · WIREs Systems Biology and Medicine · doi:10.1002/wsbm.1254 · Cited by 9

Systematic Analysis of Primary Sequence Domain Segments for the Discrimination Between Class C GPCR Subtypes

König, C., Alquézar, R., Vellido, A., & Giraldo, J. (2018) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-018-0286-3 · Cited by 8

Holistic Drug Targeting

Roy, A., & Chaguturu, R. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-801814-9.00003-9 · Cited by 8

Design of a tripartite network for the prediction of drug targets

Kunimoto, R., & Bajorath, J. (2018) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-018-0098-x · Cited by 8

Druggability Assessment for Selected Serine Proteases in a Pharmaceutical Industry Setting

Wehrhan, L., Hillisch, A., Mundt, S. M., Tersteegen, A., & Meier, K. (2020) · ChemMedChem · doi:10.1002/cmdc.202000425 · Cited by 8

Oligomérisation des protéines humaines et virales à sept domaines transmembranaires

Jockers, R., Gbahou, F., Tadagaki, K., & Kamal, M. T. (2012) · médecine/sciences · doi:10.1051/medsci/20122810015 · Cited by 7

Quantitative comparison of protein-protein interaction interface using physicochemical feature-based descriptors of surface patches

Shin, W., Kumazawa, K., Imai, K., Hirokawa, T., & Kihara, D. (2023) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2023.1110567 · Cited by 8

Cheminformatics and Bioinformatics at the Interface with Systems Biology

Kaushik, A. C., Mehmood, A., Wei, D., Nawab, S., Sahi, S., & Kumar, A. (2023) · Royal Society of Chemistry eBooks · doi:10.1039/9781839166037 · Cited by 7

Sustained Gα s signaling mediated by vasopressin type 2 receptors is ligand dependent but endocytosis and β-arrestin independent

Teixeira, L. B., Blouin, M., Gouill, C. L., Picard, L.-P., Costa-Neto, C. M., Bouvier, M., & Parreiras‐e‐Silva, L. T. (2025) · Science Signaling · doi:10.1126/scisignal.adf6206 · Cited by 7

On Different Aspects of Network Analysis in Systems Biology

Chaiboonchoe, A., Jurkowski, W., Pellet, J., Glaab, E., Kolodkin, A. N., Raussel, A., Béchec, A. L., Ballereau, S. J., Meyniel‐Schicklin, L., Crespo, I., et al. (2013) · Springer eBooks · doi:10.1007/978-94-007-6803-1_6 · Cited by 8

Combining bioinformatics and MS-based proteomics: clinical implications

Acosta‐Martin, A. E., & Lane, L. (2014) · Expert Review of Proteomics · doi:10.1586/14789450.2014.900446 · Cited by 7

Prediction of consensus binding mode geometries for related chemical series of positive allosteric modulators of adenosine and muscarinic acetylcholine receptors

Sakkal, L. A., Rajkowski, K. Z., & Armen, R. S. (2017) · Journal of Computational Chemistry · doi:10.1002/jcc.24728 · Cited by 7

Computational Aids for Assessing Bioactivities

Wolfram, E., & Trifan, A. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-812364-5.00010-9 · Cited by 7

Metal-binding effects of sirtuin inhibitor sirtinol

Akam, E. A., Gautam, R., & Tomat, E. (2015) · Supramolecular chemistry · doi:10.1080/10610278.2015.1092537 · Cited by 7

Drug Target Identification and Validation: Global Pharmaceutical Industry Experts on Challenges, Best Strategies, Innovative Precompetitive Collaboration Concepts, and Future Areas of Industry Precompetitive Research and Development

Bergauer, T., Ruppert, T., Essioux, L., & Spleiss, O. (2016) · Therapeutic Innovation & Regulatory Science · doi:10.1177/2168479016651298 · Cited by 7

Allosteric modulators targeting GPCRs

López-Rodríguez, M. L., Benhamú, B., & Vázquez‐Villa, H. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816228-6.00011-8 · Cited by 9

Synthetic approaches toward small molecule libraries

Lenci, E., & Trabocchi, A. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-818349-6.00001-7 · Cited by 7

CryptoBank: A resource for the identification and prediction of cryptic sites in proteins

Martinez, P. F., Fröhlking, T., Borsatto, A., Oleinikovas, V., Kuzmanic, A., & Gervasio, F. L. (2026) · Science Advances · doi:10.1126/sciadv.ady6364 · Cited by 6

Progress in Molecular Imprinting—From Inhibition of Enzymatic Activity to Regulation of Cellular Pathways

Vodová, M., Bezděková, J., & Vaculovičová, M. (2025) · Medicinal Research Reviews · doi:10.1002/med.22123 · Cited by 6

Real‐Time Detection of Protein Trafficking with High‐Throughput Flow Cytometry (HTFC) and Fluorogen‐Activating Protein (FAP) Base Biosensor

Wu, Y., Tapia, P. H., Jarvik, J. W., Waggoner, A. S., & Sklar, L. A. (2014) · Current Protocols in Cytometry · doi:10.1002/0471142956.cy0943s67 · Cited by 6

TopProperty: Robust Metaprediction of Transmembrane and Globular Protein Features Using Deep Neural Networks

Mulnaes, D., Schott‐Verdugo, S., Koenig, F., & Gohlke, H. (2021) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.1c00685 · Cited by 6

The Application of High‐Throughput Approaches in Identifying Novel Therapeutic Targets and Agents to Treat Diabetes

He, S., & Lim, G. E. (2022) · Advanced Biology · doi:10.1002/adbi.202200151 · Cited by 7

Structural determination and kinetic analysis of the transketolase from Vibrio vulnificus reveal unexpected cooperative behavior

Georges, R., Ballut, L., Octobre, G., Comte, A., Hecquet, L., Charmantray, F., & Doumèche, B. (2023) · Protein Science · doi:10.1002/pro.4884 · Cited by 6

Mapping the Human Cell Surface Interactome: A Key to Decode Cell-to-Cell Communication

Shilts, J., & Wright, G. J. (2024) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-102523-103821 · Cited by 7

Modulation of biomaterial-induced foreign body response by regulating the differentiation and migration of Treg cells through the CXCL12–CXCR4/7 axis

Yu, S., You, Y., Liu, L., Cai, X., & Huang, C. (2025) · Biomaterials Science · doi:10.1039/d4bm01474j · Cited by 6

Nanodiscs and solution nuclear magnetic resonance

Vinogradova, O. (2025) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2025.103067 · Cited by 6

Temporal trends in evidence supporting novel drug target discovery

Falaguera, M. J., McDonagh, E. M., Ochoa, D., Rusina, P. V., Roldán‐Romero, J. M., Hulcoop, D. G., Leach, A. R., & Dunham, I. (2025) · Nature Communications · doi:10.1038/s41467-025-67180-y · Cited by 7

Lipidic Cubic Phase Technologies for Structural Studies of Membrane Proteins

Ishchenko, A., Abola, E. E., & Cherezov, V. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0662-8_11 · Cited by 6

Typical and atypical domain combinations in human protein kinases: functions, disease causing mutations and conservation in other primates

Rakshambikai, R., Malini, M., Mutharasu, G., & Srinivasan, N. (2015) · RSC Advances · doi:10.1039/c4ra11685b · Cited by 6

Decoding the similarities and specific differences between latent and active tuberculosis infections based on consistently differential expression networks

Sun, J., Shi, Q., Chen, X., & Liu, R. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbz127 · Cited by 6

Maltose-bis(hydroxymethyl)phenol (MBPs) and Maltose-tris(hydroxymethyl)phenol (MTPs) Amphiphiles for Membrane Protein Stability

Ehsan, M., Wang, H., Cecchetti, C., Mortensen, J. S., Du, Y., Hariharan, P., Nygaard, A., Lee, H. J., Ghani, L., Guan, L., et al. (2021) · ACS Chemical Biology · doi:10.1021/acschembio.1c00578 · Cited by 6

A dual-modal graph learning framework for identifying interaction events among chemical and biotech drugs

Ru, Z., Wu, Y., Shao, J., Yin, J., Qian, L., & Miao, X. (2023) · Briefings in Bioinformatics · doi:10.1093/bib/bbad271 · Cited by 6

Associations between telomere attrition, genetic variants in telomere maintenance genes, and non-small cell lung cancer risk in the Jammu and Kashmir population of North India

Bhat, G. R., Jamwal, R. S., Sethi, I., Bhat, A., Shah, R., Verma, S., Sharma, M., Sadida, H. Q., Al-Marzooqi, S. K., Masoodi, T., et al. (2023) · BMC Cancer · doi:10.1186/s12885-023-11387-z · Cited by 6

Causal co-expression method with module analysis to screen drugs with specific target

Yu, S., Zheng, L., Li, Y., Li, C., Ma, C., Yu, Y., Li, X., & Hao, P. (2012) · Gene · doi:10.1016/j.gene.2012.11.051 · Cited by 6

Miniature Short Hairpin RNA Screens to Characterize Antiproliferative Drugs

Kittanakom, S., Arnoldo, A., Brown, K. R., Wallace, I. M., Kunavisarut, T., Torti, D., Heisler, L. E., Surendra, A., Moffat, J., Giaever, G. N., et al. (2013) · G3 Genes Genomes Genetics · doi:10.1534/g3.113.006437 · Cited by 7

Integration of chinese medicine with western medicine could lead to future medicine: molecular module medicine

Zhang, C., Zhang, G., Chen, K., & Lü, A. (2016) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-016-2495-0 · Cited by 6

Corning Incorporated: Designing a New Future with Glass and Optics

Pambianchi, M. S., Dejneka, M. J., Gross, T. M., Ellison, A. J. G., Gómez, S., Price, J. J., Ye, F., Tandon, P., Bookbinder, D. C., & Li, M.-J. (2016) · Springer series in materials science · doi:10.1007/978-3-319-23419-9_1 · Cited by 6

Monitoring drug–lipid membrane interactions via a molecular rotor probe

Xu, Q., Zhao, T., & Sun, Z. (2016) · The Analyst · doi:10.1039/c6an00721j · Cited by 6

Label-Free Screening Technologies

Ye, F. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-409547-2.12330-3 · Cited by 6

Identification of Drug Target Properties and its validation on Helicobacter pylori

Chordia, N., Lakhawat, K., & Kumar, A. (2017) · Canadian Journal of Biotechnology · doi:10.24870/cjb.2017-000101 · Cited by 6

Discovery and optimization of 2-thio-5-amino substituted benzoquinones as potent anticancer agents

Zhao, Y., Lu, Y., Li, R., He, J., Zhang, H., Wang, X., Ge, Z., & Li, R. (2018) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2018.02.059 · Cited by 6

Membrane Protein Production and Purification from Escherichia coli and Sf9 Insect Cells

Liu, Y., Pavić, A., Farley, J. T., Lousa, C. D. M., Goldman, A., & Postis, V. L. G. (2020) · Methods in molecular biology · doi:10.1007/978-1-0716-0724-4_1 · Cited by 6

Orphan receptor GPR50 attenuates inflammation and insulin signaling in 3T3‐L1 preadipocytes

Yao, Z., Meng, J., Long, J., Li, L., Qiu, W., Li, C., Zhang, J. V., & Ren, P. (2022) · FEBS Open Bio · doi:10.1002/2211-5463.13516 · Cited by 6

A Nuclear G Protein-coupled Estrogen Receptor, GPER. Homology Modeling Studies Toward Its Ligand-binding Mode Characterization

Arnatt, C. K., & Zhang, Y. (2012) · Royal Society of Chemistry eBooks · doi:10.1039/9781849735353-00117 · Cited by 6

Micro‐scale and rapid expression screening of highly expressed and/or stable membrane protein variants in Saccharomyces cerevisiae

Shiroishi, M., Moriya, M., & Ueda, T. (2016) · Protein Science · doi:10.1002/pro.2993 · Cited by 6

Functional Genomics Identifies Tis21-Dependent Mechanisms and Putative Cancer Drug Targets Underlying Medulloblastoma Shh-Type Development

Gentile, G., Ceccarelli, M., Micheli, L., Tirone, F., & Cavallaro, S. (2016) · Frontiers in Pharmacology · doi:10.3389/fphar.2016.00449 · Cited by 6

Evaluation of pharmaceutical activities of G-protein coupled receptor targeted pharmaceuticals in Chinese wastewater effluent

Zhang, H., Lin, Y., Men, Z., Ihara, M., Li, W., & He, K. (2020) · Chinese Chemical Letters · doi:10.1016/j.cclet.2020.08.040 · Cited by 6

Therapeutic enzymes as non-conventional targets in cardiovascular impairments: A comprehensive review

Kumar, G., Saini, M., & Kundu, S. (2021) · Canadian Journal of Physiology and Pharmacology · doi:10.1139/cjpp-2020-0732 · Cited by 6

Identification of Fungicide Targets in Pathogenic Fungi

Foster, A. J. (2018) · Springer eBooks · doi:10.1007/978-3-319-71740-1_9 · Cited by 6

Exon Sequencing of G Protein-Coupled Receptor Genes and Perspectives for Disease Treatment

Karamitri, A., & Jockers, R. (2013) · Methods in pharmacology and toxicology · doi:10.1007/978-1-62703-779-2_17 · Cited by 6

In this issue

(2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3513

The Druggable Genome: Evaluation of Drug Targets in Clinical Trials Suggests Major Shifts in Molecular Class and Indication

Rask-Andersen, M., Masuram, S., & Schiöth, H. B. (2014) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-011613-135943 · Cited by 282

The evolving landscape of drug targets

Halip, L., Avram, S. I., Overington, J. P., Al‐Lazikani, B., Curpan, R. F., Sirimulla, S., Pushechnikov, A. O., Beccari, A. R., Savchuk, N., & Oprea, T. I. (2026) · Nature Reviews Drug Discovery · doi:10.1038/s41573-026-01530-3

Network Analysis of Drug–target Interactions: A Study on FDA-approved New Molecular Entities Between 2000 to 2015

Lin, H.-H., Zhang, L., Yan, R., Lu, J., & Yuanjia, H. (2017) · Scientific Reports · doi:10.1038/s41598-017-12061-8 · Cited by 45

Network analysis of FDA approved drugs and their targets

Ma’ayan, A., Jenkins, S. L., Goldfarb, J., & Iyengar, R. (2007) · Mount Sinai Journal of Medicine A Journal of Translational and Personalized Medicine · doi:10.1002/msj.20002 · Cited by 115