Research Articles
Active Learning in De Novo Drug Design: Accelerating Discovery with Intelligent Workflows
This article explores the transformative role of active learning (AL) in de novo drug design, a computational approach for generating novel therapeutic molecules from scratch.
Active Learning for Molecular Property Prediction: Strategies, Applications, and Future Directions in Drug Discovery
This article provides a comprehensive overview of active learning (AL) strategies for molecular property prediction, a critical task in data-efficient drug discovery.
Accelerating Drug Discovery: GPT-Based Molecular Generation Enhanced by Active Learning
This article explores the transformative integration of Generative Pre-trained Transformer (GPT) models with active learning (AL) methodologies for de novo molecular design.
Active Learning Glide: Revolutionizing Ultra-Large Library Docking for Drug Discovery
This article provides a comprehensive overview for researchers and drug development professionals on leveraging Active Learning Glide for ultra-large library virtual screening.
Active Learning FEP+: Revolutionizing Lead Optimization with Machine Learning
This article explores the transformative integration of Active Learning (AL) with Free Energy Perturbation (FEP+), a cutting-edge computational approach that is accelerating drug discovery.
Navigating Chemical Space with Active Learning: A Revolutionary Approach for Accelerated Drug Discovery
Active learning (AL) is transforming drug discovery by providing an intelligent, iterative framework to efficiently navigate the vast and complex chemical space.
Active Learning for Alchemical Free Energy Calculations: A Protocol for Accelerating Drug Discovery
Alchemical free energy (AFE) calculations have become a gold standard for predicting binding affinities in computer-aided drug design, yet their widespread application is hindered by computational cost and the need...
Active Learning in Drug Discovery: Current Applications, Methodological Advances, and Future Outlook
This comprehensive review examines the transformative role of active learning (AL) in modern drug discovery.
Active Learning in Chemogenomics: A Strategic Guide to Accelerating Drug Discovery
This article provides a comprehensive overview of how active learning (AL) is revolutionizing chemogenomics and drug discovery.
Navigating the Vast Chemical Space: How Machine Learning is Revolutionizing Drug Discovery
The exploration of chemical space, estimated to contain over 10^60 drug-like molecules, represents a monumental challenge and opportunity for modern drug discovery.