Latest Research in Computational Drug Discovery Methods
8 research papers · 0.1 average citations · 2026 median publication year
Top Research Topics in Computational Drug Discovery Methods
- Computational Drug Discovery Methods — 3 papers
- Origins and Evolution of Life — 1 papers
- Fungal and yeast genetics research — 1 papers
- Chronic Lymphocytic Leukemia Research — 1 papers
- Machine Learning — 1 papers
- Cell Image Analysis Techniques — 1 papers
Highest-Cited Papers
- Organelle partitioning in the multi-budding yeast Aureobasidium pullulans (1 citations)
- Mechanochemical Transduction at the Protocellular Interface: A Refinement of the Energetic Coupling Between Mechanical Agitation and Vesicle Cannibalism
- KINOTECA: A Navigator of Chemical Datasets with Reported Kinase Inhibitory Activity
- Discovery of novel acridine based inhibitors of Bruton’s tyrosine kinase (BTK) via pharmacophore modeling and machine learning-driven virtual screening followed by molecular dynamic studies
- Held-out evidence resolves follow-up measurement decisions in biological screens
- Tomdok: a fully reproducible multi-engine consensus virtual screening pipeline with data-driven safety annotation, validated by blind recovery of clinically validated inhibitors
- Tomdok: a fully reproducible multi-engine consensus virtual screening pipeline with data-driven safety annotation, validated by blind recovery of clinically validated inhibitors
- A knowledge-driven framework for predicting single-cell responses for unprofiled drugs