Research Articles
Benchmarking Quantum Chemical Methods: Statistical Analysis of Accuracy for Drug Discovery Applications
This article provides a comprehensive statistical analysis of the accuracy of quantum chemical methods, crucial for researchers and professionals in drug development.
Benchmarking Quantum Chemistry: A Practical Guide to Validating Conformational Energies with DFT and Post-HF Methods in Drug Discovery
Accurate calculation of conformational energies is a cornerstone of reliable computational chemistry in drug design, impacting everything from docking poses to property prediction.
Systematic Benchmarking of DFT Methods for Heats of Formation: A Guide for Computational Chemists and Drug Developers
Accurately predicting heats of formation is critical for computational chemistry, materials science, and drug development, yet selecting the right Density Functional Theory (DFT) method remains a challenge.
Localization vs. Delocalization Error in DFT and HF: A Comprehensive Guide for Computational Drug Development
This article provides a comprehensive analysis of localization and delocalization errors in Density Functional Theory (DFT) and Hartree-Fock (HF) methods, crucial challenges impacting the reliability of computational chemistry in drug...
Evaluating Meta-GGA Functionals for Reaction Barrier Prediction: A Guide for Computational Chemists and Drug Developers
Accurate prediction of reaction barriers is crucial for understanding chemical kinetics, designing catalysts, and optimizing synthetic pathways in drug development.
Beyond DFT: Why Hartree-Fock Outperforms in Zwitterion Modeling for Drug Discovery
This article provides a comparative assessment of Hartree-Fock (HF), Density Functional Theory (DFT), and post-HF methods for modeling zwitterion systems, which are crucial yet challenging targets in pharmaceutical research.
DFT vs. MP2: A Performance Benchmark for Molecular Geometry in Drug Development
This article provides a comprehensive comparison of Density Functional Theory (DFT) and second-order Møller–Plesset perturbation theory (MP2) for predicting bond lengths and angles, crucial parameters in molecular design for pharmaceuticals.
Validating Density Functionals for Biological Molecules: A Comprehensive Guide for Drug Development and Biomedical Research
The accuracy of Density Functional Theory (DFT) is paramount for reliable predictions in drug discovery and biomolecular modeling.
Accuracy Assessment of Hybrid Functionals for Organic Molecules: A Comprehensive Guide for Biomedical Researchers
This article provides a comprehensive assessment of hybrid density functional theory (DFT) for modeling organic molecules, critically evaluating their accuracy in predicting key electronic, structural, and spectroscopic properties.
Benchmarking DFT vs. CCSD(T): A Practical Guide for Accurate Molecular Property Prediction in Drug Development
This article provides a comprehensive benchmark and practical guide for researchers and drug development professionals navigating the trade-offs between computational efficiency and quantum chemical accuracy.