The rise and fall of artificial neural networks is well documented in the scientific literature of
both computer science and computational chemistry. Yet almost two decades later, we are …

Abstract Protein Structure Prediction is a central topic in Structural Bioinformatics. Since
the'60s statistical methods, followed by increasingly complex Machine Learning and recently …

While AlphaFold2 can predict accurate protein structures from the primary sequence,
challenges remain for proteins that undergo conformational changes or for which few …

Since Anfinsen demonstrated that the information encoded in a protein's amino acid
sequence determines its structure in 1973, solving the protein structure prediction problem …

Recently developed methods have shown considerable promise in predicting residue–
residue contacts in protein 3D structures using evolutionary covariance information …

Motivation: Recent developments of statistical techniques to infer direct evolutionary
couplings between residue pairs have rendered covariation-based contact prediction a …

Following up on the encouraging results of residue‐residue contact prediction in the
CASP11 experiment, we present the analysis of predictions submitted for CASP12. The …

Motivation Accurate prediction of a protein contact map depends greatly on capturing as
much contextual information as possible from surrounding residues for a target residue pair …

Motivation In addition to substitution frequency data from protein sequence alignments,
many state-of-the-art methods for contact prediction rely on additional sources of …

Motivation: Residue–residue contact prediction is important for protein structure prediction
and other applications. However, the accuracy of current contact predictors often barely …