Large‐scale artificial intelligence (AI) models such as ChatGPT have the potential to
improve performance on many benchmarks and real‐world tasks. However, it is difficult to …

Numerous cellular functions rely on protein–protein interactions. Efforts to comprehensively
characterize them remain challenged however by the diversity of molecular recognition …

Estimating the accuracy of quaternary structural models of protein complexes and
assemblies (EMA) is important for predicting quaternary structures and applying them to …

Motivation In recent years, the end-to-end deep learning method for single-chain protein
structure prediction has achieved high accuracy. For example, the state-of-the-art method …

Estimating the accuracy of protein structural models is a critical task in protein bioinformatics.
The need for robust methods in the estimation of protein model accuracy (EMA) is prevalent …

Structural information on protein–protein interactions (PPIs) is essential for improved
understanding of regulatory interactome networks that confer various physiological and …

Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a growing
class of natural products biosynthesized from a genetically encoded precursor peptide. The …

Reliable and accurate methods of estimating the accuracy of predicted protein models are
vital to understanding their respective utility. Discerning how the quaternary structure …

The quality prediction of quaternary structure models of a protein complex, in the absence of
its true structure, is known as the Estimation of Model Accuracy (EMA). EMA is useful for …

Estimating the accuracy of quaternary structural models of protein complexes and
assemblies (EMA) is important for predicting quaternary structures and applying them to …