Research Articles
AI in Drug Discovery: A Practical Guide to Molecular Optimization for Scientists
This article provides a comprehensive overview of AI-driven molecular optimization for researchers and drug development professionals.
Beyond the Data Limit: Advanced Strategies to Boost Sample Efficiency in Molecular Optimization
This article provides a comprehensive guide for computational chemists and drug discovery researchers on overcoming the critical bottleneck of sample efficiency in molecular optimization.
Beyond Novelty: A Framework for Quantifying and Improving Molecular Validity in Generative AI for Drug Discovery
This article addresses the critical challenge of molecular validity in AI-driven drug discovery.
Property-Guided VAE Generation: A Practical Guide for Molecular Design and Drug Discovery
This article provides a comprehensive overview of implementing property-guided generation using Variational Autoencoders (VAEs) for molecular design in drug discovery.
Multi-Objective Reinforcement Learning for Drug Discovery: A Guide to Optimizing Molecules for Efficacy, Safety, and Synthesizability
This article provides a comprehensive guide for researchers and drug development professionals on implementing multi-objective reinforcement learning (MORL) for molecular optimization.
REINVENT 4 AI Molecule Design: A Step-by-Step Guide for Drug Discovery Researchers
This article provides a comprehensive guide to REINVENT 4, a state-of-the-art open-source platform for AI-driven *de novo* molecular design.
Molecular Optimization Strategies: A Practical Guide to Using SMILES and SELFIES in Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on implementing molecular optimization workflows using SMILES and SELFIES representations.
Beyond the Hype: A Practical Framework for Ensuring Chemical Validity in AI-Generated Molecules
This article provides a comprehensive guide for researchers and drug development professionals on improving the chemical validity of AI-generated molecular structures.
De Novo Design vs. Molecular Optimization: A Strategic Guide for AI-Driven Drug Discovery
This article provides a comprehensive comparison of molecular optimization and de novo molecular generation for researchers and drug development professionals.
Helmholtz vs Gibbs Free Energy: A Practical Guide for Biomolecular Researchers
This article provides a comprehensive, application-focused analysis of Helmholtz and Gibbs free energy for biomedical researchers.