Scollr indexed 799 new Computational Drug Discovery Methods papers in the last 30 days and 2,244 in the last 90 days. Browse the most relevant recent papers below, then follow the topic in the app to turn this into a personalized research feed.
Evidence window ending 2026-06-15
Computational Drug Discovery shows 745 eligible recent papers and 744 commentary-ready papers in the current 30-day window, compared with 673 eligible papers in the prior window. The strongest evidence comes from 1 visible topic cluster and 8 representative papers.
Computational Drug Discovery recorded 745 eligible papers in the latest 30-day window, compared with 673 in the prior 30-day window, making the current snapshot up 11% from the prior window.
745 recent vs 673 prior eligible papersComputational Drug Discovery Methods contributes 745 eligible recent papers, including 744 papers with abstracts available for commentary.
745 papers in the leading clusterThe representative set includes DMPKformer: An Interpretable Multimodal Deep Learning Framework for Reliable ADMET Property Prediction; CLC-Pred Synergy: Web Application for Predicting Pairwise Drug Combinations with Synergistic Activity Against NCI60 Cancer Cell Lines; Accurate prediction of activity cliff compounds based on bioactivity profiles depends on assay nearest neighbor relationships; Artificial intelligence in QSAR modeling for predicting drug activity and toxicity; and How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling. These papers anchor the page's claims and keep the brief tied to visible evidence.
8 representative papersThe most relevant recent papers Scollr indexed in this topic, ranked by topic relevance, citations, and recency.
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Browse recent papersDaily publication volume across the last 30 days, drawn from Scollr's indexed literature.
Researchers publishing the most papers in this topic across the last 90 days.
Follow Computational Drug Discovery Methods in Scollr. New papers in the topic flow into a personalized feed, and you can save the studies worth reading without setting up email alerts. This page also lists the most relevant recent papers so you can scan what changed at a glance.
The recent papers section above is rebuilt continuously from Scollr's indexed literature, ranked by topic relevance, citations, and recency. Each links to its full record so you can read the abstract and follow the authors and sources behind it.
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