Research Articles
Advanced Strategies for Refining Low-Quality Structural Models in Biomedical Research
This article provides a comprehensive guide to the latest computational strategies for refining low-quality protein structural models, a critical step in drug discovery and functional analysis.
AlphaFold2 vs. RoseTTAFold in 2024: A Definitive Accuracy Comparison for Biomedical Research
This article provides a comprehensive 2024 comparison of AlphaFold2 and RoseTTAFold, two leading AI-powered protein structure prediction tools.
Navigating the Unstructured: Advanced Strategies for Disordered Regions in Protein Structure Prediction
Intrinsically Disordered Regions (IDRs) challenge the traditional structure-function paradigm of proteins, yet they are crucial in key biological processes and are increasingly linked to diseases like cancer and neurodegeneration.
Beyond Trial and Error: Advanced Strategies for Optimizing Model Refinement of Low-Accuracy Targets
This article provides a comprehensive guide for researchers and drug development professionals on refining computational and biological models with initially low accuracy.
Evaluating Protein-Protein Interaction Interfaces: From AI-Driven Prediction to Therapeutic Targeting
This article provides a comprehensive evaluation of computational methods for predicting and analyzing protein-protein interaction (PPI) interfaces, a critical frontier in structural biology and drug discovery.
Beyond the Score: A Practical Guide to Interpreting and Improving Low pLDDT in Protein Structure Models
This article provides a comprehensive framework for researchers and drug development professionals to navigate the challenges of low pLDDT scores in AI-predicted protein structures.
Beyond the Fold: A Critical Evaluation of AI-Driven Protein Structure Prediction in Modern Drug Design
The recent revolution in artificial intelligence (AI) has dramatically advanced protein structure prediction, offering new paradigms for drug discovery.
A Practical Protocol for Assessing Predicted Protein Model Quality: From Foundations to Clinical Applications
Accurate assessment of predicted protein model quality is a critical bottleneck in structural bioinformatics, directly impacting the utility of models for function annotation and drug discovery.
Evaluating Protein Side-Chain Prediction Accuracy: Methods, Benchmarks, and Best Practices for Structural Biology and Drug Development
Accurate prediction of protein side-chain conformations is critical for applications ranging from protein design to drug discovery.
Ab Initio Protein Structure Prediction: From Physical Principles to AI-Driven Breakthroughs in Biomedicine
This article provides a comprehensive evaluation of ab initio protein structure prediction, a computational approach that determines 3D protein structures from amino acid sequences based solely on physical principles, without...