Research Articles
Graph Neural Networks for Molecular Property Prediction: A Complete Guide for Drug Discovery
This article provides a comprehensive introduction to Graph Neural Networks (GNNs) for molecular property prediction, a transformative technology accelerating drug discovery and materials design.
Molecular Fingerprints in Machine Learning: A Guide for Drug Discovery and Biomedical Research
This article provides a comprehensive guide for researchers and drug development professionals on the role of molecular fingerprints in machine learning (ML).
Hybrid Physics-Informed Models: A Framework for Robust Transferability Assessment in Biomedical Research
This article explores the emerging paradigm of hybrid physics-informed models, which integrate mechanistic knowledge with data-driven machine learning to overcome the limitations of purely physics-based or black-box AI approaches.
Benchmarking Machine Learning Models on the QM7 Dataset: From Molecular Property Prediction to Drug Discovery Applications
This article provides a comprehensive analysis of machine learning (ML) model performance on the foundational QM7 quantum chemistry dataset.
Computational Chemistry Databases for Method Validation: A Practical Guide for Drug Discovery
This article provides a comprehensive guide for researchers and drug development professionals on leveraging computational chemistry databases for robust method validation.
Ligand Efficiency in Modern Drug Discovery: Analyzing Metrics and Trends in Recent FDA-Approved Oral Therapies
This article provides a comprehensive analysis of ligand efficiency (LE) metrics and their critical role in the development of recent orally administered drugs.
AMBER vs. CHARMM vs. OPLS: A 2024 Force Field Accuracy Comparative Analysis for Biomedical Research
This article provides a comprehensive comparative analysis of the accuracy of the AMBER, CHARMM, and OPLS force fields, the cornerstone of molecular dynamics simulations in drug development and biomolecular research.
Validating Density Functional Theory: Best Practices, Common Pitfalls, and Applications in Biomedical Research
This article provides a comprehensive framework for validating Density Functional Theory (DFT) calculations against experimental data, a critical step for ensuring reliability in research and drug development.
Badapple Promiscuity Prediction vs. QED Drug-Likeness: A Strategic Guide for Efficient Compound Triage
This article provides a comprehensive comparison of two pivotal in-silico tools in modern drug discovery: Badapple, an empirical predictor of compound promiscuity, and the Quantitative Estimate of Drug-likeness (QED).
Ab Initio vs. Semi-Empirical Methods: A Computational Chemist's Guide for Accuracy and Efficiency in Drug Discovery
This article provides a comprehensive comparison of ab initio and semi-empirical quantum chemical methods, tailored for researchers and professionals in drug development.