On the Integration of In Silico Drug Design Methods for Drug Repurposing
Open accessAbstract
Drug repurposing has become an important branch of drug discovery. Several computational approaches that help to uncover new repurposing opportunities and aid the discovery process have been put forward, or adapted from previous applications. A number of successful examples are now available. Overall, future developments will greatly benefit from integration of different methods, approaches and disciplines. Steps forward in this direction are expected to help to clarify, and therefore to rationally predict, new drug-target, target-disease, and ultimately drug-disease associations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196 · see citing works
The protein kinase complement of the human genome
Manning, G., Whyte, D. B., Martinez, R., Hunter, T., & Sudarsanam, S. (2002) · Science · doi:10.1126/science.1075762 · Cited by 8,145 · see citing works
Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257 · see citing works
Docking and scoring in virtual screening for drug discovery: methods and applications
Kitchen, D. B., Decornez, H. Y., Furr, J. R., & Bajorath, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1549 · Cited by 4,245 · see citing works
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 · see citing works
Relating protein pharmacology by ligand chemistry
Keiser, M. J., Roth, B. L., Armbruster, B. N., Ernsberger, P., Irwin, J. J., & Shoichet, B. K. (2007) · Nature Biotechnology · doi:10.1038/nbt1284 · Cited by 2,402 · see citing works
Gaulton, A., Hersey, A., Nowotka, M., Bento, A. P., Chambers, J. K., Méndez, D., Mutowo, P., Atkinson, F. L., Bellis, L. J., Cibrián–Uhalte, E., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw1074 · Cited by 2,351 · see citing works
Predicting new molecular targets for known drugs
Keiser, M. J., Setola, V., Irwin, J. J., Laggner, C., Abbas, A. I., Hufeisen, S. J., Jensen, N. H., Kuijer, M. B., Matos, R. C., Tran, T. B., et al. (2009) · Nature · doi:10.1038/nature08506 · Cited by 1,667 · see citing works
Liu, X., Ouyang, S., Yu, B., Liu, Y., Huang, K., Gong, J., Zheng, S., Li, Z., Li, H., & Jiang, H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq300 · Cited by 977 · see citing works
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 · see citing works
Mechanisms of resistance to EGFR tyrosine kinase inhibitors
Huang, L., & Fu, L. (2015) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2015.07.001 · Cited by 596 · see citing works
Challenges and opportunities of drug repositioning
Novac, N. (2013) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2013.03.004 · Cited by 376 · see citing works
Exploring Activity Cliffs in Medicinal Chemistry
Stumpfe, D., & Bajorath, J. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm201706b · Cited by 372 · see citing works
Bender, A., Scheiber, J., Glick, M., Davies, J. W., Azzaoui, K., Hamon, J., Urbán, L., Whitebread, S., & Jenkins, J. L. (2007) · ChemMedChem · doi:10.1002/cmdc.200700026 · Cited by 324 · see citing works
Kinnings, S., Liu, N., Buchmeier, N. A., Tonge, P. J., Xie, L., & Bourne, P. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000423 · Cited by 318 · see citing works
A standard database for drug repositioning
Brown, A. S., & Patel, C. J. (2017) · Scientific Data · doi:10.1038/sdata.2017.29 · Cited by 308 · see citing works
Human Disease-Drug Network Based on Genomic Expression Profiles
Hu, G., & Agarwal, P. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006536 · Cited by 304 · see citing works
Costa, F. F. (2014) · Drug Discovery Today · doi:10.1016/j.drudis.2013.10.012 · Cited by 302 · see citing works
Discovery of multiple hidden allosteric sites by combining Markov state models and experiments
Bowman, G. R., Bolin, E. R., Hart, K. M., Maguire, B. C., & Marqusee, S. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417811112 · Cited by 212 · see citing works
Publisher, B. S. P. B. S. (2006) · Current Protein and Peptide Science · doi:10.2174/138920306778559386 · Cited by 178 · see citing works
Predicting New Indications for Approved Drugs Using a Proteochemometric Method
Dakshanamurthy, S., Issa, N. T., Assefnia, S., Seshasayee, A., Peters, O. J., Madhavan, S., Üren, A., Brown, M. L., & Byers, S. W. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm300576q · Cited by 168 · see citing works
Compound promiscuity: what can we learn from current data?
Hu, Y., & Bajorath, J. (2013) · Drug Discovery Today · doi:10.1016/j.drudis.2013.03.002 · Cited by 142 · see citing works
Target prediction utilising negative bioactivity data covering large chemical space
Mervin, L., Afzal, A. M., Drakakis, G., Lewis, R. P., Engkvist, O., & Bender, A. (2015) · Journal of Cheminformatics · doi:10.1186/s13321-015-0098-y · Cited by 134 · see citing works
Self-citationA Computational Approach to Finding Novel Targets for Existing Drugs
Li, Y. Y., An, J., & Jones, S. J. M. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002139 · Cited by 130 · see citing works
Impact of Binding Site Comparisons on Medicinal Chemistry and Rational Molecular Design
Ehrt, C., Brinkjost, T., & Koch, O. (2016) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b00078 · Cited by 122 · see citing works
Iskar, M., Zeller, G., Blattmann, P., Campillos, M., Kuhn, M., Kaminska, K. H., Runz, H., Gavin, A., Pepperkok, R., van Noort, V., et al. (2013) · Molecular Systems Biology · doi:10.1038/msb.2013.20 · Cited by 118 · see citing works
Shameer, K., Glicksberg, B. S., Hodos, R. A., Johnson, K. W., Badgeley, M. A., Readhead, B., Tomlinson, M., O’Connor, T., Miotto, R., Kidd, B. A., et al. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw136 · Cited by 103 · see citing works
A Ligand-Based Approach to Mining the Chemogenomic Space of Drugs
Gregori‐Puigjané, E., & Mestres, J. (2008) · Combinatorial Chemistry & High Throughput Screening · doi:10.2174/138620708785739952 · Cited by 101 · see citing works
Jin, G., Fu, C., Zhao, H., Cui, K., Chang, J. C., & Wong, S. T. C. (2011) · Cancer Research · doi:10.1158/0008-5472.can-11-2333 · Cited by 96 · see citing works
Sgobba, M., Caporuscio, F., Anighoro, A., Portioli, C., & Rastelli, G. (2012) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2012.10.024 · Cited by 94 · see citing works
Self-citationLigand-Based Approach to In Silico Pharmacology: Nuclear Receptor Profiling
Mestres, J., Martín‐Couce, L., Gregori‐Puigjané, E., Cases, M., & Boyer, S. K. (2006) · Journal of Chemical Information and Modeling · doi:10.1021/ci600300k · Cited by 87 · see citing works
Chang, M., Smith, S. E., Thorpe, A., Barratt, M. J., & Karim, F. (2010) · Molecular Pain · doi:10.1186/1744-8069-6-56 · Cited by 75 · see citing works
Zhang, P., Wang, F., & Hu, J. (2014) · PubMed Central · Cited by 74 · see citing works
Iwata, H., Sawada, R., Mizutani, S., & Yamanishi, Y. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/ci500670q · Cited by 70 · see citing works
Target-Based Drug Repositioning Using Large-Scale Chemical–Protein Interactome Data
Sawada, R., Iwata, H., Mizutani, S., & Yamanishi, Y. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.5b00330 · Cited by 69 · see citing works
Franchi, E. D., Schalon, C., Messa, M., Onofri, F., Benfenati, F., & Rognan, D. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012214 · Cited by 67 · see citing works
Lessons from Hot Spot Analysis for Fragment-Based Drug Discovery
Hall, D. R., Kozakov, D., Whitty, A., & Vajda, S. (2015) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2015.08.003 · Cited by 67 · see citing works
Identification of Similar Binding Sites to Detect Distant Polypharmacology
Jalencas, X., & Mestres, J. (2013) · Molecular Informatics · doi:10.1002/minf.201300082 · Cited by 55 · see citing works
Synthesis and SAR of potent EGFR/erbB2 dual inhibitors
Zhang, Y., Cockerill, S. G., Guntrip, S. B., Rusnak, D. W., Smith, K., Vanderwall, D. E., Wood, E. R., & Lackey, K. E. (2003) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2003.10.010 · Cited by 51 · see citing works
Recommendation Techniques for Drug–Target Interaction Prediction and Drug Repositioning
Alaimo, S., Giugno, R., & Pulvirenti, A. (2016) · Methods in molecular biology · doi:10.1007/978-1-4939-3572-7_23 · Cited by 39 · see citing works
Chen, Y., Tolbert, R., Aronov, A. M., McGaughey, G. B., Walters, W. P., & Meireles, L. (2016) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00118 · Cited by 37 · see citing works
Shape-Based Reprofiling of FDA-Approved Drugs for the H1 Histamine Receptor
Vasudevan, S. R., Moore, J. B., Schymura, Y., & Churchill, G. C. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm300671m · Cited by 30 · see citing works
Computational Polypharmacology Analysis of the Heat Shock Protein 90 Interactome
Anighoro, A., Stumpfe, D., Heikamp, K., Beebe, K. E., Neckers, L. Μ., Bajorath, J., & Rastelli, G. (2015) · Journal of Chemical Information and Modeling · doi:10.1021/ci5006959 · Cited by 27 · see citing works
Self-citationChemoisosterism in the Proteome
Jalencas, X., & Mestres, J. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci3002974 · Cited by 23 · see citing works
Index-Based Searching of Interaction Patterns in Large Collections of Protein–Ligand Interfaces
Inhester, T., Bietz, S., Hilbig, M., Schmidt, R., & Rarey, M. (2017) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.6b00561 · Cited by 17 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Molecular Docking: Shifting Paradigms in Drug Discovery
Pinzi, L., & Rastelli, G. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20184331 · Cited by 2,450 · see citing works
Self-citationConcepts of Artificial Intelligence for Computer-Assisted Drug Discovery
Yang, X. Y., Wang, Y., Byrne, R., Schneider, G., & Yang, S. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00728 · Cited by 1,045 · see citing works
Muratov, E. N., Bajorath, J., Sheridan, R. P., Tetko, I. V., Filimonov, D., Poroikov, V., Oprea, T. I., Baskin, I. I., Varnek, A., Roitberg, A., et al. (2020) · Chemical Society Reviews · doi:10.1039/d0cs00098a · Cited by 913 · see citing works
Drug repositioning: a brief overview
Jourdan, J.-P., Bureau, R., Rochais, C., & Dallemagne, P. (2020) · Journal of Pharmacy and Pharmacology · doi:10.1111/jphp.13273 · Cited by 470 · see citing works
Drug repurposing for antimicrobial discovery
Farha, M. A., & Brown, E. D. (2019) · Nature Microbiology · doi:10.1038/s41564-019-0357-1 · Cited by 365 · see citing works
Molecular Docking: Principles, Advances, and Its Applications in Drug Discovery
Muhammed, M. T., & Aki, E. (2022) · Letters in Drug Design & Discovery · doi:10.2174/1570180819666220922103109 · Cited by 269 · see citing works
Drug Repurposing: An Effective Tool in Modern Drug Discovery
Kulkarni, V. S., Alagarsamy, V., Solomon, V. R., Jose, P. A., & Murugesan, S. (2023) · Russian Journal of Bioorganic Chemistry · doi:10.1134/s1068162023020139 · Cited by 264 · see citing works
Biomedical data and computational models for drug repositioning: a comprehensive review
Luo, H., Li, M., Yang, M., Wu, F., Li, Y., & Wang, J. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbz176 · Cited by 199 · see citing works
COVID-19 and SARS-CoV-2. Modeling the present, looking at the future
Estrada, E. (2020) · Physics Reports · doi:10.1016/j.physrep.2020.07.005 · Cited by 193 · see citing works
Riyaphan, J., Pham, D., Leong, M. K., & Weng, C. (2021) · Biomolecules · doi:10.3390/biom11121877 · Cited by 176 · see citing works
Peng, J., Jury, E. C., Dönnes, P., & Ciurtin, C. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.720694 · Cited by 162 · see citing works
Soltan, O. M., Shoman, M. E., Abdel‐Aziz, S. A., Narumi, A., Konno, H., & Abdel‐Aziz, M. (2021) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2021.113768 · Cited by 148 · see citing works
Structure-based drug repurposing: Traditional and advanced AI/ML-aided methods
Choudhury, C., Murugan, N. A., & Priyakumar, U. D. (2022) · Drug Discovery Today · doi:10.1016/j.drudis.2022.03.006 · Cited by 136 · see citing works
Kim, H., Kim, E., Lee, I., Bae, B., Park, M., & Nam, H. (2020) · Biotechnology and Bioprocess Engineering · doi:10.1007/s12257-020-0049-y · Cited by 138 · see citing works
Drug Repositioning in Glioblastoma: A Pathway Perspective
Tan, S. K., Jermakowicz, A. M., Mookhtiar, A. K., Nemeroff, C. B., Schürer, S. C., & Ayad, N. G. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00218 · Cited by 115 · see citing works
How drug repurposing can advance drug discovery: challenges and opportunities
Pinzi, L., Bisi, N., & Rastelli, G. (2024) · Frontiers in Drug Discovery · doi:10.3389/fddsv.2024.1460100 · Cited by 108 · see citing works
Self-citationDrug Repositioning for Effective Prostate Cancer Treatment
Turanlı, B., Grøtli, M., Borén, J., Nielsen, J., Uhlén, M., Arğa, K. Y., & Mardinoğlu, A. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.00500 · Cited by 109 · see citing works
Griseofulvin: An Updated Overview of Old and Current Knowledge
Aris, P., Wei, Y., Mohamadzadeh, M., & Xia, X. (2022) · Molecules · doi:10.3390/molecules27207034 · Cited by 93 · see citing works
Computational Drug Repurposing: Current Trends
Karaman, B., & Sippl, W. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867325666180530100332 · Cited by 85 · see citing works
Validation strategies for target prediction methods
Mathai, N., Chen, Y., & Kirchmair, J. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbz026 · Cited by 86 · see citing works
Systems biology based drug repositioning for development of cancer therapy
Turanlı, B., Altay, Ö., Borén, J., Türkez, H., Nielsen, J., Uhlén, M., Arğa, K. Y., & Mardinoğlu, A. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.09.020 · Cited by 80 · see citing works
Insights into Computational Drug Repurposing for Neurodegenerative Disease
Paranjpe, M. D., Taubes, A. L., & Sirota, M. (2019) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2019.06.003 · Cited by 71 · see citing works
Fallica, A. N., Pittalà, V., Modica, M. N., Salerno, L., Romeo, G., Marrazzo, A., Helal, M. A., & Intagliata, S. (2021) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.0c02265 · Cited by 69 · see citing works
Topological network measures for drug repositioning
Badkas, A., Landtsheer, S. D., & Sauter, T. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa357 · Cited by 61 · see citing works
Hassan, M., Raza, H., Abbasi, M. A., Moustafa, A. A., & Seo, S. (2018) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2018.11.115 · Cited by 61 · see citing works
In Silico Exploration of Potential Natural Inhibitors against SARS-Cov-2 nsp10
Eissa, I. H., Khalifa, M. M., Elkaeed, E. B., Hafez, E. S. E., Alsfouk, A. A., & Metwaly, A. M. (2021) · Molecules · doi:10.3390/molecules26206151 · Cited by 58 · see citing works
Web-based drug repurposing tools: a survey
Sam, E., & Athri, P. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx125 · Cited by 58 · see citing works
Bibi, S., Khan, M. S., El-Kafrawy, S. A., Alandijany, T. A., El-Daly, M. M., Yousafi, Q., Fatima, D., Faizo, A. A., Bajrai, L. H., & Azhar, E. I. (2022) · Saudi Pharmaceutical Journal · doi:10.1016/j.jsps.2022.05.003 · Cited by 55 · see citing works
Kakoti, B. B., Bezbaruah, R., & Ahmed, N. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.1007315 · Cited by 56 · see citing works
Design, synthesis and anticancer/antiestrogenic activities of novel indole-benzimidazoles
Karadayı, F. Z., Yaman, M., Kışla, M. M., Keşküş, A. G., Konu, Ö., & Ateş‐Alagöz, Z. (2020) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2020.103929 · Cited by 49 · see citing works
Repositioning Natural Products in Drug Discovery
Rastelli, G., Pellati, F., Pinzi, L., & Gamberini, M. C. (2020) · Molecules · doi:10.3390/molecules25051154 · Cited by 47 · see citing works
Self-citationAn Analytical Review of Computational Drug Repurposing
Sadeghi, S. S., & Keyvanpour, M. R. (2019) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2019.2933825 · Cited by 46 · see citing works
Evaluating the performance of drug-repurposing technologies
Schuler, J., Falls, Z., Mangione, W., Hudson, M. L., Bruggemann, L., & Samudrala, R. (2021) · Drug Discovery Today · doi:10.1016/j.drudis.2021.08.002 · Cited by 44 · see citing works
Cong, Y., & Endo, T. (2022) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2022.0068 · Cited by 43 · see citing works
Drug-Target Interaction Prediction in Drug Repositioning Based on Deep Semi-Supervised Learning
Bahi, M., & Batouche, M. (2018) · IFIP advances in information and communication technology · doi:10.1007/978-3-319-89743-1_27 · Cited by 43 · see citing works
Machine learning for drug repositioning: Recent advances and challenges
Cai, L., Chu, J., Xu, J., Meng, Y., Lu, C., Tang, X., Wang, G., Tian, G., & Yang, J. (2023) · Current Research in Chemical Biology · doi:10.1016/j.crchbi.2023.100042 · Cited by 43 · see citing works
Boyapally, R., Pulivendala, G., Bale, S., & Godugu, C. (2019) · Life Sciences · doi:10.1016/j.lfs.2018.12.061 · Cited by 42 · see citing works
Elkaeed, E. B., Elkady, H., Belal, A., Alsfouk, B. A. A., Ibrahim, T. H., Abdelmoaty, M., Arafa, R. K., Metwaly, A. M., & Eissa, I. H. (2022) · Processes · doi:10.3390/pr10030530 · Cited by 41 · see citing works
Zloh, M., & Kirton, S. B. (2018) · Future Medicinal Chemistry · doi:10.4155/fmc-2017-0151 · Cited by 40 · see citing works
Culletta, G., Gulotta, M. R., Perricone, U., Zappalà, M., Almerico, A. M., & Tutone, M. (2020) · Computation · doi:10.3390/computation8030077 · Cited by 40 · see citing works
Drug Repurposing for the Treatment of Acute Myeloid Leukemia
Andresen, V., & Gjertsen, B. T. (2017) · Frontiers in Medicine · doi:10.3389/fmed.2017.00211 · Cited by 39 · see citing works
Polypharmacology of Berberine Based on Multi-Target Binding Motifs
Chu, M., Chen, X., Wang, J., Guo, L., Wang, Q., Gao, Z., Kang, J., Zhang, M., Feng, J., Guo, Q., et al. (2018) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.00801 · Cited by 39 · see citing works
Zhao, W., Yu, Y., Liu, G., Liang, Y., Xu, D., Feng, X., & Guan, R. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae238 · Cited by 37 · see citing works
Schuler, J., Hudson, M. L., Schwartz, D. G., & Samudrala, R. (2017) · Molecules · doi:10.3390/molecules22101777 · Cited by 37 · see citing works
Repurposing some of the Well-known Non-steroid Anti-inflammatory Drugs (NSAIDs) for Cancer Treatment
Vasconcelos, M. H., Palmeira, A., Sousa, S. M., & Xavier, C. P. R. (2023) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026623666230130150029 · Cited by 36 · see citing works
DR2DI: a powerful computational tool for predicting novel drug-disease associations
Lu, L., & Yu, H. (2018) · Journal of Computer-Aided Molecular Design · doi:10.1007/s10822-018-0117-y · Cited by 35 · see citing works
Metwaly, A. M., Elwan, A., El-Attar, A.-A. M. M., Al‐Rashood, S. T., & Eissa, I. H. (2022) · Journal of Chemistry · doi:10.1155/2022/7270094 · Cited by 34 · see citing works
Pinzi, L., Lherbet, C., Baltas, M., Pellati, F., & Rastelli, G. (2019) · Molecules · doi:10.3390/molecules24142567 · Cited by 34 · see citing works
Self-citationDrug Repurposing and Polypharmacology to Fight SARS-CoV-2 Through Inhibition of the Main Protease
Pinzi, L., Tinivella, A., Caporuscio, F., & Rastelli, G. (2021) · Frontiers in Pharmacology · doi:10.3389/fphar.2021.636989 · Cited by 33 · see citing works
Self-citationDrug Repurposing as an Effective Drug Discovery Strategy: A Critical Review
Khzem, A. H. A., & Wali, S. M. (2025) · Drug Design Development and Therapy · doi:10.2147/dddt.s576701 · Cited by 33 · see citing works
Halder, S. K., & Elma, F. (2021) · Journal of Clinical Tuberculosis and Other Mycobacterial Diseases · doi:10.1016/j.jctube.2021.100246 · Cited by 35 · see citing works
Luo, L., Yang, J., Wang, C., Wu, J., Li, Y., Zhang, X., Li, H., Zhang, H., Zhou, Y., Lü, A., et al. (2021) · Science China Life Sciences · doi:10.1007/s11427-020-1959-5 · Cited by 34 · see citing works
Computational Approaches in Theranostics: Mining and Predicting Cancer Data
Cova, T. F. G. G., Bento, D. J., & Nunes, S. C. C. (2019) · Pharmaceutics · doi:10.3390/pharmaceutics11030119 · Cited by 32 · see citing works
An Overview of Computational Methods, Tools, Servers, and Databases for Drug Repurposing
Sarvagalla, S., Syed, S. B., & Coumar, M. S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816125-8.00025-0 · Cited by 32 · see citing works
Machine Learning and Artificial Intelligence in Drug Repurposing—Challenges and Perspectives
Anokian, E., Bernett, J., Freeman, A., List, M., Santamaría, L. P., Tanoli, Z., & Bonnin, S. (2024) · Drug repurposing · doi:10.58647/drugrepo.24.1.0004 · Cited by 28 · see citing works
Inhibitory effects of curcumin on aldose reductase and cyclooxygenase-2 enzymes
Mirzaei, M., Harismah, K., Soleimani, M., & Mousavi, S. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1800513 · Cited by 27 · see citing works
Network-based Drug Repurposing: A Critical Review
Selvaraj, N., Swaroop, A. K., Nidamanuri, B. S. S., Kumar, R. R., Natarajan, J., & Selvaraj, J. (2022) · Current Drug Research Reviews · doi:10.2174/2589977514666220214120403 · Cited by 27 · see citing works
Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity
Song, L., Lei, X., Chen, M., & Pan, Y. F. (2023) · Interdisciplinary Sciences Computational Life Sciences · doi:10.1007/s12539-023-00593-9 · Cited by 27 · see citing works
Fingerprinting CANDO: Increased Accuracy with Structure- and Ligand-Based Shotgun Drug Repurposing
Schuler, J., & Samudrala, R. (2019) · ACS Omega · doi:10.1021/acsomega.9b02160 · Cited by 27 · see citing works
Eissa, I. H., Yousef, R. G., Elkady, H., Alsfouk, A. A., Husein, D. Z., Ibrahim, I. M., El‐Deeb, N. M., Kenawy, A. M. A., Eldehna, W. M., Elkaeed, E. B., et al. (2023) · Molecular Diversity · doi:10.1007/s11030-023-10644-4 · Cited by 25 · see citing works
Computational Functional Genomics-Based Approaches in Analgesic Drug Discovery and Repurposing
Lippmann, C., Kringel, D., Ultsch, A., & Lötsch, J. (2018) · Pharmacogenomics · doi:10.2217/pgs-2018-0036 · Cited by 25 · see citing works
Sohraby, F., & Aryapour, H. (2020) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2020.04.007 · Cited by 25 · see citing works
Leishmaniasis: A multifaceted approach to diagnosis, maladies, drug repurposing and way forward
Makarani, N., Bharadava, K., Kaushik, A., Dave, A., Gangawane, A., & Kaushal, R. S. (2025) · The Microbe · doi:10.1016/j.microb.2025.100239 · Cited by 24 · see citing works
Drug Repurposing in the Development of Anticancer Agents
Ölgen, S., & Kotra, L. P. (2019) · Current Medicinal Chemistry · doi:10.2174/0929867325666180713155702 · Cited by 24 · see citing works
Network model‐based screen for FDA‐approved drugs affecting cardiac fibrosis
Zeigler, A. C., Chandrabhatla, A. S., Christiansen, S. L. M., Nelson, A. R., Holmes, J. W., & Saucerman, J. J. (2021) · CPT Pharmacometrics & Systems Pharmacology · doi:10.1002/psp4.12599 · Cited by 24 · see citing works
Griesenauer, R. H., Schillebeeckx, C., & Kinch, M. S. (2019) · Drug Discovery Today · doi:10.1016/j.drudis.2019.01.010 · Cited by 23 · see citing works
Li, Y., Xu, Y., & Yu, Y. (2021) · Molecules · doi:10.3390/molecules26237257 · Cited by 24 · see citing works
Construction, comparison and evolution of networks in life sciences and other disciplines
Gysi, D. M., & Nowick, K. (2020) · Journal of The Royal Society Interface · doi:10.1098/rsif.2019.0610 · Cited by 25 · see citing works
Sumon, T. A., Hussain, M. A., Hasan, M. T., Hasan, M., Jang, W. J., Bhuiya, E. H., Chowdhury, A. A. M., Sharifuzzaman, S. M., Brown, C. L., Kwon, H., et al. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.585899 · Cited by 22 · see citing works
Repurposing of approved drug molecules for viral infectious diseases: a molecular modelling approach
Kumar, N., Sarma, H., & Sastry, G. N. (2021) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2021.1905558 · Cited by 22 · see citing works
LigAdvisor: a versatile and user-friendly web-platform for drug design
Pinzi, L., Tinivella, A., Gagliardelli, L., Beneventano, D., & Rastelli, G. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab385 · Cited by 21 · see citing works
Self-citationHassan, M., Yasir, M., Shahzadi, S., & Kloczkowski, A. (2022) · ACS Omega · doi:10.1021/acsomega.2c00518 · Cited by 21 · see citing works
Thiopurine Drugs Repositioned as Tyrosinase Inhibitors
Choi, J., Lee, Y. M., & Jee, J. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms19010077 · Cited by 21 · see citing works
A Novel Drug Repositioning Approach Based on Collaborative Metric Learning
Luo, H., Wang, J., Yan, C., Li, M., Wu, F., & Pan, Y. F. (2019) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2019.2926453 · Cited by 20 · see citing works
The Effect of Energy Minimization on The Molecular Docking of Acetone-Based Oxindole Derivatives
Fadlan, A., & Nusantoro, Y. R. (2021) · JKPK (Jurnal Kimia dan Pendidikan Kimia) · doi:10.20961/jkpk.v6i1.45467 · Cited by 20 · see citing works
Innovative approaches in CNS drug discovery
Charvériat, M., Lafon, V., Mouthon, F., & Zimmer, L. (2020) · Therapies · doi:10.1016/j.therap.2020.12.006 · Cited by 20 · see citing works
Nossier, E. S., Anwar, M. M., & El‐Zahabi, M. A. (2025) · Molecular Diversity · doi:10.1007/s11030-025-11248-w · Cited by 19 · see citing works
Ji, J., Sundquist, J., & Sundquist, K. (2018) · International Journal of Cancer · doi:10.1002/ijc.31901 · Cited by 17 · see citing works
Elkaeed, E. B., Khalifa, M. M., Alsfouk, B. A. A., Alsfouk, A. A., El-Attar, A.-A. M. M., Eissa, I. H., & Metwaly, A. M. (2022) · Metabolites · doi:10.3390/metabo12111122 · Cited by 16 · see citing works
Bellis, M. D., Boccanegra, B., Cerchiara, A. G., Imbrici, P., & Luca, A. D. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24010857 · Cited by 16 · see citing works
Nanoinformatics and artificial intelligence for nano-enabled sustainable agriculture
Varsou, D., Zhang, P., Afantitis, A., Guo, Z., Lynch, I., & Melagraki, G. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-91233-4.00015-6 · Cited by 16 · see citing works
Sahu, R., Gupta, P. K., Mishra, A., & Kumar, A. (2022) · Chinese Journal of Integrative Medicine · doi:10.1007/s11655-022-3584-x · Cited by 15 · see citing works
Drug Repurposing - Advances, Scopes and Opportunities in Drug Discovery
Rudrapal, M. (2022) · IntechOpen eBooks · doi:10.5772/intechopen.106301 · Cited by 15 · see citing works
Characterization of the tumor-infiltrating immune repertoire in muscle invasive bladder cancer
Benítez, R., Yu, K. M., Sirota, M., Malats, N., & Pineda, S. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.986598 · Cited by 15 · see citing works
In Silico Models for Anti-COVID-19 Drug Discovery: A Systematic Review
Onyango, O. H. (2023) · Advances in Pharmacological and Pharmaceutical Sciences · doi:10.1155/2023/4562974 · Cited by 15 · see citing works
Overcoming Obstacles to Drug Repositioning in Japan
Nishimura, Y., Tagawa, M., Ito, H., Tsuruma, K., & Hara, H. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00729 · Cited by 15 · see citing works
Chakraborti, S., Ramakrishnan, G., & Srinivasan, N. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816125-8.00016-x · Cited by 14 · see citing works
Recycled Translation: Repurposing Drugs for Stroke
Spellicy, S. E., & Hess, D. C. (2022) · Translational Stroke Research · doi:10.1007/s12975-022-01000-z · Cited by 15 · see citing works
Kamo, M., Ito, M., Toma, T., Gotoh, H., Shimozono, R., Nakagawa, R., Koga, R., Monde, K., Tateishi, H., Misumi, S., et al. (2021) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2021.104627 · Cited by 15 · see citing works
Classifying diseases by using biological features to identify potential nosological models
Santamaría, L. P., del Valle, E. P. G., Zanin, M., Hernández-Chan, G., Gallardo, Y. P., & Rodríguez‐González, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-00554-6 · Cited by 14 · see citing works
Drug Repurposing Approaches: Existing Leads for Novel Threats and Drug Targets
Usha, T., Middha, S. K., Kukanur, A. A., Shravani, R. V., Anupama, M. N., Harshitha, N., Rahamath, A., Kulkarni, S. S., & Goyal, A. K. (2020) · Current Protein and Peptide Science · doi:10.2174/1389203721666200921152853 · Cited by 14 · see citing works
Sinenko, I. L., Turnell‐Ritson, R. C., Munier, F. L., & Dyson, P. J. (2023) · Experimental Eye Research · doi:10.1016/j.exer.2023.109447 · Cited by 13 · see citing works
Vitamin D analog calcitriol for breast cancer therapy; an integrated drug discovery approach
Nagaraj, B. S., Namboori, P. K. K., Swaroop, A. K., Sankaran, S., Raman, R., Natarajan, J., & Selvaraj, J. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2199866 · Cited by 13 · see citing works
Anti-inflammatory drugs as potential antimicrobial agents: a review
Okpala, O. E., Rondevaldová, J., & Kokoška, L. (2025) · Frontiers in Pharmacology · doi:10.3389/fphar.2025.1557333 · Cited by 13 · see citing works
Varghese, A., Liu, J., Patterson, T. A., & Hong, H. (2025) · Molecules · doi:10.3390/molecules30142985 · Cited by 13 · see citing works
Haque, M. (2020) · Pesquisa Brasileira em Odontopediatria e Clínica Integrada · doi:10.1590/pboci.2020.137 · Cited by 13 · see citing works
Identifying Gene Signatures for Cancer Drug Repositioning Based on Sample Clustering
Wang, F., Ding, Y., Lei, X., Liao, B., & Wu, F. (2020) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2020.3019781 · Cited by 13 · see citing works
Repurposing of approved drugs with potential to interact with SARS-CoV-2 receptor
Ahsan, T., & Sajib, A. (2020) · Biochemistry and Biophysics Reports · doi:10.1016/j.bbrep.2021.100982 · Cited by 13 · see citing works
Big Data: Challenge and Opportunity for Translational and Industrial Research in Healthcare
Rossi, R. L., & Grifantini, R. (2018) · Frontiers in Digital Humanities · doi:10.3389/fdigh.2018.00013 · Cited by 14 · see citing works
Maden, S. F., Sezer, S., & Acuner, S. E. (2022) · Biomedical engineering · doi:10.5772/intechopen.105815 · Cited by 12 · see citing works
- Authors
- March-Vila, E., Pinzi, L., Sturm, N., Tinivella, A., Engkvist, O., Chen, H., & Rastelli, G.
- Affiliations
- University of Modena and Reggio Emilia (IT)
- AstraZeneca (Sweden) (SE)
- Corresponding author
- Rastelli, Giulio
- Venue
- Frontiers in Pharmacology
- Publisher
- Frontiers Media SA
- Published
- 2017-05-23
- Volume
- 8
- Pages
- 298-298
- ISSN
- 1663-9812 (ISSN-L)
- PMC
- PMC5440551
- OpenAlex
- W2619948933
- Cited by
- 235
- References
- 45
- Citations by year
- 2026: 15 · 2025: 22 · 2024: 21 · 2023: 34 · 2022: 31 · 2021: 31 · 2020: 31 · 2019: 26 · 2018: 18 · 2017: 6
- FWCI
- 16.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Frontiers in Pharmacology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IRIS UNIMORE (University of Modena and Reggio Emilia) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- H2020 Marie Skłodowska-Curie Actions (No 676434, “Big Data in Chemistry” (BIGCHEM))
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Health Sciences › Medicine › Pharmacology › Cholinesterase and Neurodegenerative Diseases
- Keywords
- drug repurposing, computer-aided drug design, computational drug discovery, drug-target associations, drug-disease associations
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