Research Articles
Basis Set Selection for Accurate Molecular Property Prediction: A Practical Guide for Drug Development
Accurately predicting molecular properties is crucial for accelerating drug discovery and materials design.
Dispersion Corrections in DFT: A Practical Guide for Modeling Non-Covalent Interactions in Drug Discovery
This article provides a comprehensive overview of dispersion-corrected Density Functional Theory (DFT-D) for modeling non-covalent interactions, a critical capability in modern computational drug discovery.
Navigating Strong Electron Correlation in Transition Metal Complexes: From Theory to Therapeutic Applications
This article provides a comprehensive guide for researchers and drug development professionals on handling strong electron correlation in transition metal complexes.
AI-Driven Molecular Property Prediction: Accelerating Drug Discovery with Advanced Machine Learning
This article provides a comprehensive overview of the transformative role of artificial intelligence in predicting molecular properties for pharmaceutical compounds.
Predicting Reaction Barrier Heights: A Guide to Quantum Methods for Drug Discovery
Accurate prediction of reaction barrier heights is crucial for understanding chemical reactivity and kinetics, directly impacting drug discovery and development timelines.
Electronic Excitation Spectra: Benchmarking TDDFT vs. EOM-CC for Accuracy in Computational Spectroscopy and Drug Discovery
This article provides a comprehensive comparison of Time-Dependent Density Functional Theory (TDDFT) and Equation-of-Motion Coupled-Cluster (EOM-CC) methods for calculating electronic excitation spectra, tailored for researchers and drug development professionals.
Computing Hydrogen Bond Energies in Biomolecules: Methods, Applications, and Best Practices for Drug Development
This article provides a comprehensive guide for researchers and drug development professionals on computational methods for determining hydrogen bond interaction energies in biomolecules.
Computational Vibrational Spectroscopy: A Practical Guide to DFT and Post-HF Methods for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on calculating vibrational frequencies using Density Functional Theory (DFT) and post-Hartree-Fock (post-HF) methods.
Predicting Thermochemical Properties with Density Functional Theory: A Guide for Pharmaceutical Research
This article provides a comprehensive overview of the application of Density Functional Theory (DFT) for predicting thermochemical properties critical to pharmaceutical development.
Multi-Configuration Self-Consistent Field (MCSCF) Theory: A Comprehensive Guide for Computational Researchers
This article provides a comprehensive exploration of Multi-Configuration Self-Consistent Field (MCSCF) theory, a cornerstone method in quantum chemistry for treating strongly correlated molecular systems where single-reference approaches like Hartree-Fock fail.