Protein structure prediction (PSP) is a grand challenge in bioinformatics, drug discovery, and
related fields. PSP is computationally challenging because of an astronomically large …

The CASP14 experiment demonstrated the extraordinary structure modeling capabilities of
artificial intelligence (AI) methods. That result has ignited a fierce debate about what these …

Abstract Machine learning research concerning protein structure has seen a surge in
popularity over the last years with promising advances for basic science and drug discovery …

Computing protein structure from amino acid sequence information has been a long‐
standing grand challenge. Critical assessment of structure prediction (CASP) conducts …

The determination of protein structure has been facilitated using deep learning models,
which can predict protein folding from protein sequences. In some cases, the predicted …

Interactions between proteins are directly involved in most biological processes and are
essential for the correct functioning of every form of life. The nature of protein-protein …

Owing to a large and significant genome data outcome from sequencing projects in the last
three decades from many organisms with 100 million of nucleotide sequence has been …

Plant breeding aims to develop elite crop varieties appropriate for various environments with
higher quality and quantity of production. Researchers use quantitative trait loci (QTL) …

The determination of protein structure has been facilitated using deep learning models,
which can predict protein folding from protein sequences. In some cases, the predicted …