This article provides a comprehensive guide for researchers and drug development professionals on bridging the critical gap between computational drug-target interaction (DTI) predictions and experimental validation.
Accurate loop modeling remains a critical challenge in homology modeling, directly impacting the reliability of protein structures used in drug design and functional analysis.
This article provides a comprehensive guide for researchers and drug development professionals tackling the persistent challenge of poor protein side-chain packing predictions.
This article provides a comprehensive guide for researchers, scientists, and drug development professionals on improving the quality of artificial intelligence and machine learning models in scenarios where high-quality, labeled training...
The rapid advancement of AI-based structure prediction tools like AlphaFold has democratized access to membrane protein models, yet their validation remains a critical challenge.
Molecular replacement (MR) is the predominant method for solving the phase problem in macromolecular crystallography, accounting for approximately 80% of deposited structures.
Template-based modeling (TBM) remains a cornerstone of protein structure prediction, essential for illuminating structure-function relationships and guiding drug discovery.
This article provides a comprehensive introduction to Model Quality Assessment (MQA) programs, exploring their foundational principles, methodological applications, and critical importance in scientific and industrial contexts.
This article provides a comprehensive framework for researchers and drug development professionals to understand, assess, and troubleshoot the concordance between RNA-Seq and qPCR data.
This article provides a definitive guide for researchers and drug development professionals comparing the sensitivity of RNA-Seq and qPCR.