| 2026-04-01 | ai-drug-discovery | Artificial Intelligence-Driven Natural Product Discovery for Cancer Metastasis and Chemoresistance: From Computational Prediction to Preclinical Validation. | Cancers | 57.9 | PMID, DOI |
| 2026-04-01 | ai-drug-discovery | Drug repurposing in oncology: Bridging computational discovery to clinical application. | International journal of cancer | 56.3 | PMID, DOI |
| 2026-04-01 | 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 |
| 2026-04-01 | de-novo-protein-design | Semantic design of functional de novo genes from a genomic language model. | Nature | 69.1 | PMID, DOI |
| 2026-04-01 | de-novo-protein-design | Computational design of metallohydrolases. | Nature | 68.0 | PMID, DOI |
| 2026-04-01 | de-novo-protein-design | Computational enzyme design by catalytic motif scaffolding. | Nature | 65.9 | PMID, DOI |
| 2026-04-02 | ai-drug-discovery | Towards intelligent and miniaturized drug delivery devices. | Nature | 57.9 | PMID, DOI |