Research Articles
Beyond the Static Model: A Practical Framework for Validating Protein Structures in Mutational Studies
Accurate protein structures are foundational for reliable mutational studies, yet the transition from static computational models to biologically relevant insights is non-trivial.
Assessing Enzyme Active Site Models: From AI-Driven Prediction to Experimental Validation
Accurately assessing the quality of enzyme active site models is critical for advancing drug discovery, enzyme engineering, and synthetic biology.
Beyond RMSD: A Comprehensive Guide to Using lDDT and pLDDT for Validating Protein Structure Predictions
This article provides researchers, scientists, and drug development professionals with a comprehensive guide to the Local Distance Difference Test (lDDT) and its predicted variant, pLDDT.
How to Calculate RMSD for Protein Structure Comparison: A Guide for Structural Biologists and Drug Developers
This article provides a comprehensive guide to calculating and interpreting the Root Mean Square Deviation (RMSD) for protein structure comparison, a fundamental task in structural biology, drug discovery, and protein...
Benchmarking Protein Structure Prediction Tools: From Monomeric Accuracy to Complex Challenges in Biomedical Research
This article provides a comprehensive benchmarking analysis of modern protein structure prediction tools, addressing critical needs for researchers, scientists, and drug development professionals.
CASP Experiment: The Gold Standard in Protein Structure Prediction
This article provides a comprehensive overview of the Critical Assessment of protein Structure Prediction (CASP), the community-wide experiment that has driven progress in computational biology for three decades.
Validating Protein Structure Prediction for Snake Venom Toxins: From Computational Models to Therapeutic Applications
This article provides a comprehensive overview of the validation of protein structure prediction tools for snake venom toxins, a diverse and challenging class of proteins.
Benchmarking Multimer Prediction Tools: A Comprehensive Guide to Accuracy, Applications, and Future Directions
Accurately predicting the structure of multimeric protein complexes is a cornerstone of modern biology, with profound implications for understanding disease mechanisms and accelerating drug discovery.
Homology Modeling Programs in 2025: A Comprehensive Performance Review for Drug Discovery and Structural Biology
This article provides a contemporary analysis of the performance and practical application of homology modeling programs, a cornerstone technique in computational biology.
Deep Learning in Protein Structure Prediction: A Comprehensive Comparison of AlphaFold, RoseTTAFold, and Emerging Methods
This article provides a comprehensive analysis of modern deep learning methods for protein structure prediction, tailored for researchers and drug development professionals.