Research Articles
DFT Conformational Analysis in Drug Discovery: A Computational Guide for Researchers
This comprehensive guide explores the critical role of Density Functional Theory (DFT) in performing conformational analysis of organic molecules for drug discovery and materials science.
Computational Catalysis: A DFT Guide to Unraveling Homogeneous Reaction Mechanisms for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on applying Density Functional Theory (DFT) to elucidate homogeneous catalysis mechanisms.
Clever Hans Effect in Chemical Reaction AI: Identifying and Preventing Spurious Correlations in Drug Discovery Models
This article addresses the critical challenge of the Clever Hans effect—where machine learning models in chemical reaction and drug discovery achieve high performance by exploiting spurious correlations in training data...
Automating Stereochemistry: How Chemspeed SWING Optimizes Stereoselective Suzuki-Miyaura Cross-Couplings for Drug Discovery
This article provides a comprehensive overview of leveraging the Chemspeed SWING automated synthesis platform for stereoselective Suzuki-Miyaura cross-coupling reactions.
ChatExtract: Revolutionizing Materials Data Extraction from Scientific Papers for Drug Discovery
This article provides a comprehensive guide to the ChatExtract method for automated extraction of materials data from scientific literature.
C-H Activation vs. C-H Functionalization: A Clear Guide for Drug Discovery Scientists
This definitive guide clarifies the often-confused terminology of C-H activation and C-H functionalization for researchers and drug development professionals.
Late-Stage C-H Activation in Natural Product Synthesis: Strategies, Challenges, and Clinical Applications in Drug Discovery
This comprehensive review explores the transformative role of late-stage C-H activation in natural product functionalization for drug discovery.
Bayesian Optimization for Reaction Conditions: A Machine Learning Guide for Accelerated Drug Discovery
This article provides a comprehensive guide to Bayesian Optimization (BO) for automating and accelerating the discovery of optimal chemical reaction conditions.
Bayesian Optimization in Drug Discovery: Accelerating Reaction Condition Screening with AI
This article provides a comprehensive guide to Bayesian Optimization (BO) for optimizing chemical reaction conditions, tailored for researchers and development professionals in pharmaceuticals and synthetic chemistry.
Bayesian Multi-Objective Optimization of Reaction Conditions: A Modern Framework for Accelerating Drug Discovery and Process Chemistry
This article provides a comprehensive guide to Bayesian multi-objective optimization (MOBO) for reaction condition screening, tailored for researchers in drug development and synthetic chemistry.