| 2026-03-05 | ai-drug-discovery | Next-Generation Artificial Intelligence for ADME Prediction in Drug Discovery: From Small Molecules to Biologics. | Yonago acta medica | 59.8 | PMID, DOI |
| 2026-03-05 | ai-drug-discovery | Kinic index: an artificial intelligence-driven predictive model and multitarget drug discovery framework for hepatocellular carcinoma patients. | NPJ precision oncology | 59.8 | PMID, DOI |
| 2026-03-05 | ai-drug-discovery | Human in the loop artificial intelligence in healthcare: applications, outcomes, and implementation challenges. | International journal of medical informatics | 56.4 | PMID, DOI |
| 2026-03-05 | de-novo-protein-design | Data-driven de novo design of super-adhesive hydrogels. | Nature | 76.0 | PMID, DOI |
| 2026-03-05 | de-novo-protein-design | Integrated biotechnological and AI innovations for crop improvement. | Nature | 72.4 | PMID, DOI |
| 2026-03-05 | de-novo-protein-design | Accurate de novo design of high-affinity protein-binding macrocycles using deep learning. | Nature chemical biology | 69.0 | PMID, DOI |
| 2026-03-07 | ai-drug-discovery | Sustainable Strategies in Tuberculosis Management: Bridging Ethnobotanical Pharmacology, Advanced Drug Delivery, and AI-Driven Innovation. | Journal of evidence-based medicine | 54.7 | PMID, DOI |
| 2026-03-10 | ai-drug-discovery | Harnessing AI to decode protein kinases: Structural, functional, and therapeutic design perspectives. | New biotechnology | 52.9 | PMID, DOI |
| 2026-03-10 | de-novo-protein-design | Semantic design of functional de novo genes from a genomic language model. | Nature | 68.1 | PMID, DOI |
| 2026-03-11 | ai-drug-discovery | Overview of recent strategic advances in antiviral covalent inhibitors. | Future medicinal chemistry | 53.0 | PMID, DOI |
| 2026-03-11 | de-novo-protein-design | Computational design of metallohydrolases. | Nature | 68.2 | PMID, DOI |
| 2026-03-14 | ai-drug-discovery | Re-defining the 3Rs of pre-clinical research in nuclear medicine. | Seminars in nuclear medicine | 53.0 | PMID, DOI |
| 2026-03-15 | ai-drug-discovery | Artificial Intelligence-Driven Natural Product Discovery for Cancer Metastasis and Chemoresistance: From Computational Prediction to Preclinical Validation. | Cancers | 58.1 | PMID, DOI |
| 2026-03-17 | ai-drug-discovery | Drug repurposing in oncology: Bridging computational discovery to clinical application. | International journal of cancer | 56.5 | PMID, DOI |
| 2026-03-19 | ai-drug-discovery | Exosomes in diabetic kidney disease: pathogenesis, biomarker discovery, and emerging therapeutics-a comprehensive systematic review. | Renal failure | 54.6 | PMID, DOI |
| 2026-03-26 | ai-drug-discovery | OptiSyn: an interpretable, multi-omics-driven graph convolutional network framework for synergy-oriented drug combination design in disease treatment. | Chinese medicine | 54.7 | PMID, DOI |
| 2026-03-29 | de-novo-protein-design | Computational enzyme design by catalytic motif scaffolding. | Nature | 65.9 | PMID, DOI |
| 2026-03-31 | de-novo-protein-design | De novo design of light-responsive protein-protein interactions enables reversible formation of protein assemblies. | Nature chemistry | 63.3 | PMID, DOI |