Why 90% of clinical drug development fails and how to improve it?

Highly accurate protein structure prediction with AlphaFold

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764

Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro

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Lead- and drug-like compounds: the rule-of-five revolution

Lipinski, C. A. (2004) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2004.11.007 · Cited by 6,455

A Theoretical Basis for a Biopharmaceutic Drug Classification: The Correlation of in Vitro Drug Product Dissolution and in Vivo Bioavailability

Amidon, G. L., Lennernäs, H., Shah, V. P., & Crison, J. R. (1995) · Pharmaceutical Research · doi:10.1023/a:1016212804288 · Cited by 5,430

Can the pharmaceutical industry reduce attrition rates?

Kola, I., & Landis, J. (2004) · Nature Reviews Drug Discovery · doi:10.1038/nrd1470 · Cited by 4,167

Membrane transporters in drug development

The International Transporter Consortium, Giacomini, K. M., Huang, S.-M., Tweedie, D. J., Benet, L. Z., Brouwer, K. L. R., Chu, X., Dahlin, A., Evers, R., Fischer, V., et al. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3028 · Cited by 3,340

Microfluidic organs-on-chips

Bhatia, S. N., & Ingber, D. E. (2014) · Nature Biotechnology · doi:10.1038/nbt.2989 · Cited by 3,305

Applications of machine learning in drug discovery and development

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Principles of early drug discovery

Hughes, J., Rees, S., Kalindjian, S., & Philpott, K. (2011) · British Journal of Pharmacology · doi:10.1111/j.1476-5381.2010.01127.x · Cited by 2,859

Kinase drug discovery 20 years after imatinib: progress and future directions

Cohen, P., Cross, D. A. E., & Janne, P. A. (2021) · Nature Reviews Drug Discovery · doi:10.1038/s41573-021-00195-4 · Cited by 1,092

Caffeic Acid Phenethyl Ester (CAPE) Synergistically Enhances Paclitaxel Activity in Ovarian Cancer Cells

Kleczka, A., Dzik, R., & Kabała‐Dzik, A. (2023) · Molecules · doi:10.3390/molecules28155813 · Cited by 12

Engineering biomimetic tissue barrier models on chips: From design and fabrication to applications in disease modeling and drug screening

Nasiri, R., Madadelahi, M., Nikmaneshi, M. R., Gökçe, B., Bijarchi, M. A., Shah, S., Tirpáková, Z., Gastel, D. V., Taebnia, N., de Barros, N. R., et al. (2025) · Biomaterials · doi:10.1016/j.biomaterials.2025.123739 · Cited by 14

Metabolism in the tumor microenvironment: implications for pathogenesis and therapeutics

Wik, J. A., Berge, E. R., Stromsnes, K., & Skålhegg, B. S. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1610255 · Cited by 13

Developments and challenges in hit progression within fragment-based drug discovery

Grosjean, H., & Biggin, P. C. (2026) · Nature Communications · doi:10.1038/s41467-026-68941-z · Cited by 15

Artificial Intelligence as a Disruptive Force in Pharmaceutical Innovation: Transforming Discovery, Development, and Manufacturing

Herdiana, Y., Mohammed, A., Kautsar, A. P., Sopyan, I., & Wathoni, N. (2026) · Drug Design Development and Therapy · doi:10.2147/dddt.s588295 · Cited by 12

Case Study on Certara’s Simcyp PBPK Simulator to Eliminate Lengthy Clinical Trails

Architha Aithal, P., Aithal, S., & Aithal, P. S. (2022) · International Journal of Health Sciences and Pharmacy · doi:10.47992/ijhsp.2581.6411.0087 · Cited by 11

A targeted genetic modifier screen in Drosophila uncovers vulnerabilities in a genetically complex model of colon cancer

Datta, I., Vassel, T., Linkous, B. K., Odum, T., Drew, C., Taylor, A., & Bangi, E. (2023) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkad053 · Cited by 11

Computational Advancements in Cancer Combination Therapy Prediction

Flanary, V. L., Fisher, J. L., Wilk, E. J., Howton, T. C., & Lasseigne, B. N. (2023) · JCO Precision Oncology · doi:10.1200/po.23.00261 · Cited by 11

Repurposing FDA-approved drugs as NLRP3 inhibitors against inflammatory diseases: machine learning and molecular simulation approaches

Agarwal, V., Haldhar, R., Hirad, A. H., Ahmed, B., Han, S. B., Gupta, A., Raj, V., & Lee, S. K. (2024) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2024.2308072 · Cited by 11

Repurposing of Antifungal Drug Flucytosine/Flucytosine Cocrystals for Anticancer Activity against Prostate Cancer Targeting Apoptosis and Inflammatory Signaling Pathways

Kanagavel, M., Samuvel, R. M. S., Ramalingam, V., & Nechipadappu, S. K. (2024) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.4c00156 · Cited by 11

Anti-Obesity Therapeutic Targets Studied In Silico and In Vivo: A Systematic Review

de Medeiros, W. F., Gomes, A. F. T., Aguiar, A., de Queiroz, J. L. C., Bezerra, I. W. L., da Silva-Maia, J. K., Piuvezam, G., & Morais, A. H. D. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25094699 · Cited by 11

Insights into Nimbolide molecular crosstalk and its anticancer properties

Shaheen, S., Khalid, S., Aaliya, K., Gul, A., Hafeez, A., Armaghan, M., Almarhoon, Z. M., Călina, D. C., Khan, K., & Sharifi‐Rad, J. (2024) · Medical Oncology · doi:10.1007/s12032-024-02379-5 · Cited by 11

Bile acid-sensitive human norovirus strains are susceptible to sphingosine-1-phosphate receptor 2 inhibition

Tenge, V. R., Ayyar, B. V., Ettayebi, K., Crawford, S. E., Hayes, N. M., Shen, Y., Neill, F. H., Atmar, R. L., & Estes, M. K. (2024) · Journal of Virology · doi:10.1128/jvi.02020-23 · Cited by 11

Targeted Cancer Therapy‐on‐A‐Chip

Abed, H., Radha, R., Anjum, S., Paul, V., AlSawaftah, N., Pitt, W. G., Ashammakhi, N. A., & Husseini, G. A. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202400833 · Cited by 12

Pluripotent stem cell‐derived organoids: A brief history of curiosity‐led discoveries

Lancaster, M. A. (2024) · BioEssays · doi:10.1002/bies.202400105 · Cited by 11

Nano-strategies for advancing oral drug delivery: Porous silicon particles and cyclodextrin encapsulation for enhanced dissolution of poorly soluble drugs

Johnsen, H. M., Filtvedt, W. O., Klaveness, J., & Hiorth, M. (2024) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2024.124809 · Cited by 11

Local Treatment of Wound Infections: A Review of Clinical Trials from 2013 to 2024

Larson, D. A., Neelon, J., Karna, S. L. R., & Nuutila, K. (2024) · Advances in Wound Care · doi:10.1089/wound.2024.0129 · Cited by 11

CFD modelling and simulations of atomization-based processes for production of drug particles: A review

Baassiri, M., Ranade, V. V., & Padrela, L. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.125204 · Cited by 11

Identification of novel cyclin-dependent kinase 4/6 inhibitors from marine natural products

Debnath, A., Mazumder, R., Singh, A. K., & Singh, R. K. (2025) · PLoS ONE · doi:10.1371/journal.pone.0313830 · Cited by 12

A Novel Tumor on Chip Mimicking the Breast Cancer Microenvironment for Dynamic Drug Screening

Testa, M., Gaggianesi, M., D’Accardo, C., Porcelli, G., Turdo, A., Marco, C. D., Patella, B., Franco, S. D., Modica, C., Bella, S. D., et al. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26031028 · Cited by 11

Inorganic nanoparticle-based nanogels and their biomedical applications

Sonkar, C., Ranjan, R., & Mukhopadhyay, S. (2025) · Dalton Transactions · doi:10.1039/d4dt02986k · Cited by 11

A structure-based framework for selective inhibitor design and optimization

Zou, Y., Guo, T., Fu, Z., Guo, Z., Bo, W., Yan, D., Wang, Q., Zeng, J., Xu, D., Wang, T., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-07840-3 · Cited by 11

Modulation of OGG1 enzymatic activities by small molecules, promising tools and current challenges

Renaudin, X., & Campalans, A. (2025) · DNA repair · doi:10.1016/j.dnarep.2025.103827 · Cited by 13

Network-Based Approaches for Drug Target Identification

Koutsandreas, T., Tsafou, K., Horn, H., Barrett, I. P., & Petsalaki, E. (2025) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-101424-120950 · Cited by 14

Artificial intelligence in drug development for delirium and Alzheimer’s disease

Ai, R., Xiao, X., Deng, S., Yang, N., Xing, X., Watne, L. O., Selbæk, G., Wedatilake, Y., Xie, C., Rubinsztein, D. C., et al. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.04.026 · Cited by 11

Bottom-up Biomaterial strategies for creating tailored stem cells in regenerative medicine

Cruz-Gonzalez, B., Johandes, E., Gramm, D., & Hanjaya‐Putra, D. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1581292 · Cited by 11

Dose optimization in cancer drug development: Review and outcome of a multi-stakeholder workshop

Glasmacher, A. G., Garralda, E., Gwaltney, C. J., Rupalla, K., Li, C., & Weber, H. (2025) · European Journal of Cancer · doi:10.1016/j.ejca.2025.115593 · Cited by 11

Immunomodulatory Natural Products in Cancer Organoid-Immune Co-Cultures: Bridging the Research Gap for Precision Immunotherapy

Hong, C., & Lyu, S. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26157247 · Cited by 17

A knowledge-graph-based pharmaceutical engineering chatbot for drug discovery

Taskiran, N. P., Tsai, C.-E. J., Huang, S., Chakraborty, A., & Venkatasubramanian, V. (2025) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2025.109318 · Cited by 12

Seminatural environments for rodent behavioral testing: a representative design improving animal welfare and enhancing replicability

Hernández‐Arteaga, E., & Ågmo, A. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1192213 · Cited by 13

Managing Corneal Infections: Out with the old, in with the new?

Marasini, S., Craig, J. P., Dean, S. J., & Leanse, L. G. (2023) · Antibiotics · doi:10.3390/antibiotics12081334 · Cited by 13

The Potential of a Stratified Approach to Drug Repurposing in Alzheimer’s Disease

Anderson, C., Bucholc, M., McClean, P. L., & Zhang, S. (2023) · Biomolecules · doi:10.3390/biom14010011 · Cited by 13

Identification of Helicobacter pylori‐carcinogenic TNF‐alpha‐inducing protein inhibitors via daidzein derivatives through computational approaches

Tayyeb, J. Z., Mondal, S., Rahman, M. A., Kumar, S., Bayıl, İ., Akash, S., Hossain, M. S., Alqahtani, T., Zaki, M. E. A., & Oliveira, J. I. N. (2024) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.18358 · Cited by 11

Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Lee, K. H., Jang, S., Kim, G. J., Park, S., Kim, D., Kwon, O. J., Lee, J., & Kim, Y. (2025) · JMIR Medical Informatics · doi:10.2196/71252 · Cited by 12

Deep generative molecular design and its value in modern drug discovery

Özdemir, E. S., Jang, H., Keskin, Ö., Gürsoy, A., & Nussinov, R. (2026) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2026.2636192 · Cited by 10

Unlocking the Anticancer Potential of Ionic Liquids

Noor, N. M., Elgharbawy, A. A. M., Moniruzzaman, M., & Goto, M. (2023) · ChemBioEng Reviews · doi:10.1002/cben.202300051 · Cited by 10

Implementing Horizon Scanning as a tool for the strategic development of regulatory guidelines for nanotechnology-enabled health products

Rodríguez-Gómez, F. D., Monferrer, D., Penon, O., & Rivera-Gil, P. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2023.1308047 · Cited by 10

Mass Spectrometry Imaging of Organoids to Improve Preclinical Research

Zivko, C., Hahm, T., Tressler, C., Brown, D. R., Glunde, K., & Mahairaki, V. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202302499 · Cited by 10

Current progress in high-throughput screening for drug repurposing

Khambhati, K., Siruka, D., Ramakrishna, S., & Singh, V. (2024) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2024.03.013 · Cited by 10

Cell-vision fusion: A Swin transformer-based approach for predicting kinase inhibitor mechanism of action from Cell Painting data

Dee, W., Sequeira, I., Lobley, A., & Slabaugh, G. (2024) · iScience · doi:10.1016/j.isci.2024.110511 · Cited by 10

Advancements in Research and Treatment Applications of Patient-Derived Tumor Organoids in Colorectal Cancer

van der Graaff, D., Seghers, S., Vanclooster, P., Deben, C., Vandamme, T., & Prenen, H. (2024) · Cancers · doi:10.3390/cancers16152671 · Cited by 11

Semisupervised Learning to Boost hERG, Nav1.5, and Cav1.2 Cardiac Ion Channel Toxicity Prediction by Mining a Large Unlabeled Small Molecule Data Set

Arab, I., Laukens, K., & Bittremieux, W. (2024) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.4c01102 · Cited by 10

Few-shot meta-learning applied to whole brain activity maps improves systems neuropharmacology and drug discovery

Luo, X., Ding, Y., Cao, Y., Liu, Z., Zhang, W., Zeng, S., Cheng, S. H., Li, H., Haggarty, S. J., Wang, X., et al. (2024) · iScience · doi:10.1016/j.isci.2024.110875 · Cited by 10

Synthetic Approaches, Properties, and Applications of Acylals in Preparative and Medicinal Chemistry

Keydel, T., & Link, A. (2024) · Molecules · doi:10.3390/molecules29184451 · Cited by 12

Molecular imaging supports the development of multispecific cancer antibodies

van Winkel, C. A. J., Pierik, F. R., Brouwers, A. H., de Groot, D. J., de Vries, E. G. E., & Hooge, M. N. L. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-024-00946-3 · Cited by 12

The future of metronomic chemotherapy: experimental and computational approaches of drug repurposing

Abdelrady, Y. A., Thabet, H., & Sayed, A. M. M. (2024) · Pharmacological Reports · doi:10.1007/s43440-024-00662-w · Cited by 10

Graphene SU-8 Platform for Enhanced Cardiomyocyte Maturation and Intercellular Communication in Cardiac Drug Screening

Li, L., Shanmugasundaram, A., Kim, J., Oyunbaatar, N., Kanade, P. P., Cha, S.-E., Lim, D., Lee, C., Kim, Y.-B., Lee, B., et al. (2024) · ACS Nano · doi:10.1021/acsnano.4c05365 · Cited by 10

Nanotechnology in Drug Delivery: Anatomy and Molecular Insight into the Self-Assembly of Peptide-Based Hydrogels

Mashweu, A. R., & Azov, V. A. (2024) · Molecules · doi:10.3390/molecules29235654 · Cited by 13

Perspectives on Applications of 19F-NMR in Fragment-Based Drug Discovery

Li, Q., & Kang, C. (2024) · Molecules · doi:10.3390/molecules29235748 · Cited by 12

Prediction of the pharmacokinetics of the GLP-1 receptor agonist semaglutide in humans via a population pharmacokinetic model integrating interspecies scaling

Kim, J., Kim, K., Lee, T. S., Cho, H., Yoo, S.-D., Kim, T., Shin, B. S., & Shin, S. (2024) · Journal of Pharmaceutical Investigation · doi:10.1007/s40005-024-00717-3 · Cited by 10

Advancing Alzheimer's Therapy: Computational strategies and treatment innovations

Paul, J. K., Malik, A., Azmal, M., Gulzar, T., Afghan, M. T. R., Talukder, O. F., Shahzadi, S., & Ghosh, A. (2025) · IBRO Neuroscience Reports · doi:10.1016/j.ibneur.2025.02.002 · Cited by 10

Assessments of protodioscin’s antinociceptive and antidiarrheal properties: in vivo and in silico investigations on macromolecule binding affinity and modulatory effects

Ghosh, P. R., Hasan, M. S. A., Rouf, R., Chowdhury, R., Yadav, B., Mia, E., Islam, M. T., Hasan, M. R., Ansari, S. A., Ansari, I. A., et al. (2025) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-025-03860-2 · Cited by 10

Exploring bioactive natural products for treating neurodegenerative diseases: a computational network medicine approach targeting the estrogen signaling pathway in amyotrophic lateral sclerosis and Parkinson’s disease

Chowdhury, M. R., Reddy, R. V. S., Nampoothiri, N. K., Erva, R. R., & Vijaykumar, S. D. (2025) · Metabolic Brain Disease · doi:10.1007/s11011-025-01585-y · Cited by 10

Phenogenomic resources immortalized in a panel of wild-derived strains of five species of house mice

Piálek, J., Ďureje, Ľ., Hiadlovská, Z., Kreisinger, J., Aghová, T., Bryjová, A., Čížková, D., de Bellocq, J. G., Hejlová, H., Janotová, K., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-86505-x · Cited by 10

Electrochemical‐Genetic Programming of Protein‐Based Magnetic Soft Robots for Active Drug Delivery

Zhao, H., Yu, B., Yu, D., Ji, T., Nie, K., Tian, J., Shen, X., Zhang, K., Ou, J., Yang, X., et al. (2025) · Advanced Science · doi:10.1002/advs.202503404 · Cited by 10

Advances in Therapeutics for Chronic Lung Diseases: From Standard Therapies to Emerging Breakthroughs

Brewer, K. D., Santo, N. V., Samanta, A., Nag, R., Trotsyuk, A. A., & Rajadas, J. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14093118 · Cited by 10

Discovery of a small molecule secreted clusterin enhancer that improves memory in Alzheimer’s disease mice

Cohn, W., Campagna, J. J., Wi, D., Lee, J. T., Beniwal, S., Elezi, G., Zhu, C., Jagodzinska, B. M., Whitelegge, J. P., Damoiseaux, R. D., et al. (2025) · npj Drug Discovery. · doi:10.1038/s44386-025-00009-2 · Cited by 11

Assessing the Utility of Organoid Intelligence: Scientific and Ethical Perspectives

Nestor, M. W., & Wilson, R. L. (2025) · Organoids · doi:10.3390/organoids4020009 · Cited by 11

A mathematical phase field model predicts superparamagnetic nanoparticle accelerated fusion of HeLa spheroids for field guided biofabrication

Rodríguez, C. F., Quezada, V., Guzmán-Sastoque, P., Orozco, J. C., Reyes, L. H., Osma, J. F., Muñoz-Camargo, C., & Cruz, J. C. (2025) · Scientific Reports · doi:10.1038/s41598-025-04495-2 · Cited by 11

Cell membrane-coated nanoparticles for neurodegenerative disorders management

Thakur, N., Kumar, T., Singh, C., Kumar, A., & Kumar, A. (2025) · International Journal of Pharmaceutics · doi:10.1016/j.ijpharm.2025.125875 · Cited by 12

Host-microbiome relationship in depression: can human induced pluripotent stem cells play a role in unravelling mechanisms?

Rosell‐Cardona, C., Cryan, J. F., Clarke, G. A., & Kittel‐Schneider, S. (2025) · npj Biofilms and Microbiomes · doi:10.1038/s41522-025-00749-z · Cited by 11

Breaking down the barriers to animal-free research

Hope, L., & Bailey, J. (2025) · Alternatives to Laboratory Animals · doi:10.1177/02611929251349465 · Cited by 12

Pipeline to evaluate YAP-TEAD inhibitors indicates TEAD inhibition represses NF2 -mutant mesothelioma

Cunningham, R., Jia, S., Purohit, K. P., Nosková, M., Maniak, M. K., Lin, Y., Hui, N. S., Graham, R. E., Rossi, A. G., Cholewa-Waclaw, J., et al. (2025) · Life Science Alliance · doi:10.26508/lsa.202503241 · Cited by 12

Real-World Data and Causal Machine Learning to Enhance Drug Development

Anagnostopoulos, C., van der Schaar, M., Collet, J., & Vecino, R. H. (2025) · Therapeutic Innovation & Regulatory Science · doi:10.1007/s43441-025-00849-0 · Cited by 10

Network‐based precision medicine and systems pharmacology

Pandey, A. K., Ghiassian, S. D., & Loscalzo, J. (2025) · British Journal of Pharmacology · doi:10.1111/bph.70184 · Cited by 11

A proof-of-concept study poised to remodel the drug development process

Nahle, Z. A. (2022) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.1053588 · Cited by 11

Optimization of the Solvent and In Vivo Administration Route of Auranofin in a Syngeneic Non-Small Cell Lung Cancer and Glioblastoma Mouse Model

Boullosa, L. F., Loenhout, J. V., Hermans, C., Lau, H. W., Merlin, C., Marcq, E., Takhsha, F. S., Martinet, W., Meyer, G. R. Y. D., Lardon, F., et al. (2022) · Pharmaceutics · doi:10.3390/pharmaceutics14122761 · Cited by 9

Neuroinflammation, immune response and α-synuclein pathology: how animal models are helping us to connect dots

Balzano, T., Esteban-García, N., & Blesa, J. (2022) · Expert Opinion on Drug Discovery · doi:10.1080/17460441.2023.2160440 · Cited by 11

OGG1 competitive inhibitors show important off-target effects by directly inhibiting efflux pumps and disturbing mitotic progression

Tanushi, X., Pinna, G., Vandamme, M., Siberchicot, C., D'Augustin, O., Guilmi, A. D., Radicella, J., Castaing, B., Smith, R., Huet, S., et al. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1124960 · Cited by 10

Exploration of SARS-CoV-2 Mpro Noncovalent Natural Inhibitors Using Structure-Based Approaches

Duong, C. Q., & Nguyen, P. T. V. (2023) · ACS Omega · doi:10.1021/acsomega.2c07259 · Cited by 10

TiO2 Nanoparticles in Cancer Therapy as Nanocarriers in Paclitaxel’s Delivery and Nanosensitizers in Phototherapies and/or Sonodynamic Therapy

Tonelli, F. M. P., Tonelli, F. C. P., & Cordeiro, H. G. (2023) · Current Pharmaceutical Biotechnology · doi:10.2174/1389201024666230518124829 · Cited by 10

A drug repurposing method based on inhibition effect on gene regulatory network

Li, X., Liao, M., Wang, B., Zan, X., Huo, Y., Liu, Y., Bao, Z., Xu, P., & Liu, W. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.09.007 · Cited by 11

Cryopreservation of assay-ready hepatocyte monolayers by chemically-induced ice nucleation: preservation of hepatic function and hepatotoxicity screening capabilities

Tomás, R. M. F., Dallman, R., Congdon, T. R., & Gibson, M. I. (2023) · Biomaterials Science · doi:10.1039/d3bm01046e · Cited by 11

Novel Techniques and Models for Studying the Role of the Gut Microbiota in Drug Metabolism

Tan, J., Fu, B., Zhao, X., & Ye, L. (2023) · European Journal of Drug Metabolism and Pharmacokinetics · doi:10.1007/s13318-023-00874-0 · Cited by 11

Screening of phytochemicals from Clerodendrum inerme (L.) Gaertn as potential anti-breast cancer compounds targeting EGFR: an in-silico approach

Yasmeen, N., Chaudhary, A. A., Niraj, R. R. K., Lakhawat, S. S., Sharma, P. K., & Kumar, V. (2023) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2023.2294379 · Cited by 12

Leveraging high-resolution omics data for predicting responses and adverse events to immune checkpoint inhibitors

Limeta, A., Gatto, F., Herrgård, M. J., Ji, B., & Nielsen, J. (2023) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2023.07.032 · Cited by 9

An original donor-dependent spheroid system for the prediction of idiosyncratic drug-induced liver injury risk

Cherradi, S., Taulet, N., & Duong, H. T. (2023) · In vitro models · doi:10.1007/s44164-023-00057-w · Cited by 9

Differences in Physico-Chemical Properties and Immunological Response in Nanosimilar Complex Drugs: The Case of Liposomal Doxorubicin

Lipsa, D., Magrì, D., Camera, G. D., Spina, R. L., Cella, C., Aguirre, I. G., Méhn, D., Ruiz, A., Fumagalli, F., Calzolai, L., et al. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241713612 · Cited by 9

Repositioning VU ‐0365114 as a novel microtubule‐destabilizing agent for treating cancer and overcoming drug resistance

Hsieh, Y., Du, J., & Yang, P. (2023) · Molecular Oncology · doi:10.1002/1878-0261.13536 · Cited by 10

The effect of light irradiation on a nitro-ruthenium porphyrin complex in the induced death of lung cancer cells in two- and three-dimensional cultures: Insights into the effect of nitric oxide

Becceneri, A. B., Martin, M. T., Graminha, A. E., Cominetti, M. R., Ford, P. C., & da Silva, R. S. (2024) · Dalton Transactions · doi:10.1039/d4dt00381k · Cited by 9

Post-refractive Surgery Dry Eye: A Systematic Review Exploring Pathophysiology, Risk Factors, and Novel Management Strategies

Al-Dossary, S. K. (2024) · Cureus · doi:10.7759/cureus.61004 · Cited by 13

Synthesis and Anti-Trypanosoma cruzi Activity of New Pyrazole-Thiadiazole Scaffolds

de Souza, T. P., Orlando, L. M. R., Lara, L. D. S., Paes, V. B., Dutra, L. P., dos Santos, M. S., & Pereira, M. C. D. S. (2024) · Molecules · doi:10.3390/molecules29153544 · Cited by 9

Comprehensive applications of the artificial intelligence technology in new drug research and development

Chen, H., Lu, D. X., Xiao, Z., Li, S., Zhang, W., Luan, X., Zhang, W., & Zheng, G. (2024) · Health Information Science and Systems · doi:10.1007/s13755-024-00300-y · Cited by 10

Generation and maintenance of kidney and kidney cancer organoids from patient-derived material for drug development and precision oncology

Gubała, J., Mieville, V., Benamran, D. A., Tille, J., Massimo Valerio, A., & Nowak-Sliwinska, P. M. (2024) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2024.101368 · Cited by 10

The role of asymmetric flow field-flow fractionation in drug development – From size separation to advanced characterization

Richter, K., Reichel, A., & Vezočnik, V. (2024) · Journal of Chromatography A · doi:10.1016/j.chroma.2024.465542 · Cited by 9

Transforming drug discovery: the impact of AI and molecular simulation on R&D efficiency

Iwata, H. (2024) · Bioanalysis · doi:10.1080/17576180.2024.2437283 · Cited by 9

Novel Antiviral Phytochemicals Against Dengue Virus 2 NS2B‐NS3 Protease: An In Silico Drug Development Approach

Bari, M. A., Ahmed, S., Perveen, F. F., Akter, M., Ahmed, N., Hossain, J., Nasrulla, M., Akter, K., & Islam, M. N. (2024) · ChemistrySelect · doi:10.1002/slct.202404053 · Cited by 9

Shared molecular, cellular, and environmental hallmarks in cardiovascular disease and cancer: Any place for drug repurposing?

Avolio, E., Bassani, B., Campanile, M., Mohammed, K. A. K., Muti, P. C., Bruno, A., Spinetti, G., & Madeddu, P. R. (2024) · Pharmacological Reviews · doi:10.1016/j.pharmr.2024.100033 · Cited by 9

SpAi: A machine-learning supported experimental workflow for high-throughput spheroid production and analysis

Hacıosmanoğlu, N., Güngen, M. A., Yilmaz, E. G., Ece, E., Uzun, A., Taşcan, A., Görmüş, B. M., Eş, İ., & İnci, F. (2025) · Biosensors and Bioelectronics X · doi:10.1016/j.biosx.2025.100588 · Cited by 9

Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation

Alanazi, M., Alanazi, J., Alharby, T. N., & Huwaimel, B. (2025) · Scientific Reports · doi:10.1038/s41598-025-89093-y · Cited by 9

Establishment of interpretable cytotoxicity prediction models using machine learning analysis of transcriptome features

Wu, Y., Tang, K., Wang, C., Hao, S., Zhou, F., & Guo, Y. (2025) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2025.02.009 · Cited by 10

Preclinical Retinal Disease Models: Applications in Drug Development and Translational Research

Pandi, S. P. S., Winter, H., Smith, M. R., Harkin, K., & Bojdo, J. (2025) · Pharmaceuticals · doi:10.3390/ph18030293 · Cited by 9

Mechanisms of developmental neurotoxicity mediated by perturbed thyroid hormone homeostasis in the brain: an adverse outcome pathway network

Dierichs, N., Piersma, A. H., Peeters, R. P., Visser, W. E., Meima, M. E., & Hessel, E. V. S. (2025) · Critical Reviews in Toxicology · doi:10.1080/10408444.2025.2461076 · Cited by 10

Seamless integration of CMOS microsensors into open microfluidic systems

Bounik, R., Landolt, A. E., Lee, J., Viswam, V., Cardes, F., Modena, M. M., & Hierlemann, A. R. (2025) · Lab on a Chip · doi:10.1039/d4lc01000k · Cited by 10

A Bright Future for Photopharmaceuticals Addressing Central Nervous System Disorders: State of the Art and Challenges Toward Clinical Translation

Ganzoni, R. L. Z., Bournons, S. S., Carreira, E. M., Bundel, D. D., & Smolders, I. J. (2025) · Medicinal Research Reviews · doi:10.1002/med.22105 · Cited by 9

Identification of Microbial-Based Natural Products as Potential CYP51 Inhibitors for Eumycetoma Treatment: Insights from Molecular Docking, MM-GBSA Calculations, ADMET Analysis, and Molecular Dynamics Simulations

Elsaman, T., Awadalla, M. K. A., Mohamed, M. S., Eltayib, E. M., & Mohamed, M. A. (2025) · Pharmaceuticals · doi:10.3390/ph18040598 · Cited by 9

Recent Advances in Drug-Likeness Screening by Using the Software and Online Tools

Bhatkhande, K., Vysyaraju, N. N., Alavala, R. R., & Gokhale, K. M. (2025) · Springer eBooks · doi:10.1007/978-981-96-4154-3_19 · Cited by 9

Harnessing Noncanonical Proteins for Next‐Generation Drug Discovery and Diagnosis

Rajinikanth, N., Chauhan, R., & Prabakaran, S. (2025) · WIREs Mechanisms of Disease · doi:10.1002/wsbm.70001 · Cited by 9

Analysis of Regulatory Botanical Submission Profile for Cancer Management from the U.S. FDA Perspectives

Park, J.-Y. K., Lee, D., Rui, L., Gao, X., Furness, M. S., & Wu, C. G. (2025) · Therapeutic Innovation & Regulatory Science · doi:10.1007/s43441-025-00786-y · Cited by 9

Immunogenicity risk mitigation of therapeutic proteins with translational immunogenicity, analytical characterization, and regulatory insight

Shadbar, S., Balu-Iyer, S. V., Auclair, J. R., & Dadon, D. B. (2025) · Journal of Pharmaceutical Sciences · doi:10.1016/j.xphs.2025.103870 · Cited by 9

A Rational Approach to Maximize Success Rate in Target Discovery

Schneider, M. (2004) · Archiv der Pharmazie · doi:10.1002/ardp.200400913 · Cited by 15

Drug efficiency: a new concept to guide lead optimization programs towards the selection of better clinical candidates

Braggio, S., Montanari, D., Rossi, T., & Ratti, E. (2010) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2010.490553 · Cited by 48

Development of a Time-Based Drug Screening Platform for Improved Clinical Translation (Abstract ID: 158433)

Hughes, E., Davenport, L. L., & Douglass, E. F. (2025) · Journal of Pharmacology and Experimental Therapeutics · doi:10.1016/j.jpet.2024.100537

Drug delivery trends in clinical trials and translational medicine: Updated analysis of ClinicalTrials.gov database

Ho, R. J. Y., & Chien, J. Y. (2009) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.21649 · Cited by 11

Editorial

Ho, R. J. Y. (2011) · Journal of Pharmaceutical Sciences · doi:10.1002/jps.22713