Research Articles
Optimizing Drug Discovery: A Guide to Genetic Algorithms in Discrete Chemical Space
This article provides a comprehensive guide for researchers and drug development professionals on applying genetic algorithms (GAs) for molecular optimization within discrete chemical space.
GDT_TS vs TM-score: A Comprehensive Guide to Protein Structure Alignment Metrics for Researchers
This article provides a detailed comparative analysis of two fundamental metrics for assessing protein structure alignment quality: Global Distance Test (GDT_TS) and Template Modeling score (TM-score).
GCPN Graph Convolutional Policy Network: Revolutionizing AI-Driven Molecular Design for Drug Discovery
This article provides a comprehensive exploration of the Graph Convolutional Policy Network (GCPN), a cutting-edge deep reinforcement learning framework for molecular optimization.
GB-GA-P Algorithm Guide: Multi-Objective Pareto Optimization for Next-Gen Drug Discovery
This comprehensive guide explores the GB-GA-P algorithm, a hybrid approach combining Generative Bayesian networks, Genetic Algorithms, and Pareto-based optimization for multi-objective molecular design.
FAIR Data in Action: A Practical Guide to Implementing FAIR Principles for Molecular Dynamics Databases
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on implementing the FAIR (Findable, Accessible, Interoperable, Reusable) data principles for molecular dynamics (MD) databases.
Harnessing ExoCET: A Comprehensive Guide to Cloning Large Biosynthetic Gene Clusters for Natural Product Discovery
This article provides a detailed, step-by-step exploration of the Exonuclease Combined with RecET recombination (ExoCET) method for cloning large biosynthetic gene clusters (BGCs).
Sample Efficiency in Molecular Optimization: A Complete Guide for Drug Discovery Researchers
This comprehensive article examines the critical challenge of sample efficiency in molecular optimization algorithms for drug discovery.
Bridging the AI-Chemistry Gap: Strategies to Enhance Synthetic Accessibility in AI-Generated Molecules
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on the critical challenge of synthetic accessibility in AI-driven molecular discovery.
Unlocking Novel Therapeutics: A Modern Guide to the E. coli-Streptomyces Heterologous Expression Platform
This article provides a comprehensive guide for researchers and drug discovery scientists on leveraging the E.
E. coli BL21(DE3) vs T7 Express: Choosing the Right Strain for Protein Expression and Drug Discovery
This article provides a comprehensive, up-to-date comparison of the widely used E.