Research Articles
CCSD(T) as a Validation Tool: A Practical Guide for Biomedical Researchers
Coupled-cluster theory with single, double, and perturbative triple excitations (CCSD(T)) is widely regarded as the 'gold standard' in quantum chemistry for providing benchmark-quality data.
A Comprehensive Protocol for Validating Computational Target Prediction Methods in Drug Discovery
This article provides a comprehensive, step-by-step protocol for the rigorous validation of computational target prediction methods, which are essential tools in modern drug discovery and development.
Beyond the Hype: Key Metrics for Assessing Computational Chemistry Accuracy in Modern Drug Discovery
This article provides a comprehensive framework for researchers and drug development professionals to evaluate the accuracy of computational chemistry methods.
Beyond the Simulation: Why Experimental Data is the Keystone of Valid Computational Models in Biomedicine
This article explores the critical, multi-faceted role of experimental data in grounding computational models used in drug development and biomedical research.
A Practical Guide to Computational Chemistry Model Evaluation: From Foundations to Validation
This article provides a comprehensive framework for researchers and drug development professionals to evaluate computational chemistry models effectively.
Beyond the Hype: A Realistic Look at the Current Limitations of AI in Chemical Prediction
Artificial intelligence is rapidly transforming chemical research, yet significant limitations persist beneath the promising headlines.
Uncertainty Quantification in Computational Chemistry: Building Trust in AI for Drug Discovery and Materials Design
This article provides a comprehensive guide to uncertainty quantification (UQ) in computational chemistry, tailored for researchers and drug development professionals.
Computational Chemistry Reproducibility: Foundational Concepts, FAIR Data, and Best Practices for Drug Discovery
This article provides a comprehensive guide to computational chemistry reproducibility, a critical challenge with an estimated $200B annual global impact on scientific research.
Best Practices for Validating Target Prediction Methods: A Strategic Guide for Drug Discovery
This article provides a comprehensive framework for validating computational target prediction methods, a critical step for ensuring reliability in drug discovery and repurposing.
Error Analysis in Computational Chemistry: Foundations, Methods, and Best Practices for Predictive Drug Discovery
This article provides a comprehensive guide to error analysis in computational chemistry, tailored for researchers and drug development professionals.