Latest Research in Machine Learning in Bioinformatics
11 research papers · 2026 median publication year
Top Research Topics in Machine Learning in Bioinformatics
- Computational Drug Discovery Methods — 5 papers
- Machine Learning in Bioinformatics — 1 papers
- Chemical Synthesis and Analysis — 1 papers
- Biomolecules — 1 papers
- Quantitative Methods — 1 papers
- Machine Learning — 1 papers
- Soft Condensed Matter — 1 papers
Highest-Cited Papers
- Explainable Artificial Intelligence to Unveil Patterns of Antioxidant Peptides for Free Radical Regulation
- G-screen: scalable protein-aware virtual screening through flexible ligand alignment
- STELLAR: A Fragment-Based Docking Workflow for Highly Flexible Long-Chain Biopolymers
- SaltyMeta: a curated benchmark and protein language model-informed web tool for salty peptide prediction
- MIRAGE: Measuring Interpolation and Redundancy in Affinity GEneralization
- Predicting the Post-translational Modification Effects on Protein−Ligand Interactions via End-Point Binding Free Energy Calculation: Database Creation and Strategy Optimization
- Partner-aware Peptide-Protein Interaction Prediction and Target-conditioned Peptide Generation
- Molecular Dynamics Simulations in Modern Medicinal Chemistry
- Evaluating molecular docking for binding affinity predictions: a systematic analysis of key parameters and the utility of AlphaFold2 structures for the Schrödinger dataset
- Data-centric training enables meaningful interaction learning in protein-ligand binding affinity prediction
- Beyond second-long trajectory of the Trp-cage peptide generated using a Kinetic Monte Carlo model derived from molecular dynamics