Since its public release in 2021, AlphaFold2 (AF2) has made investigating biological
questions, by using predicted protein structures of single monomers or full complexes, a …

Proteins are dynamic molecules whose movements result in different conformations with
different functions. Neural networks such as AlphaFold2 can predict the structure of single …

This paper presents an innovative approach for predicting the relative populations of protein
conformations using AlphaFold 2, an AI-powered method that has revolutionized biology by …

Viral glycoproteins drive membrane fusion in enveloped viruses and determine host range,
tissue tropism and pathogenesis. Despite their importance, there is a fragmentary …

A crucial event in sexual reproduction is when haploid sperm and egg fuse to form a new
diploid organism at fertilization. In mammals, direct interaction between egg JUNO and …

Protein-protein interactions (PPI) are essential for biological function. Recent advances in
coevolutionary analysis and Deep Learning (DL) based protein structure prediction have …

Sensitive search of rapidly growing protein sequence databases for evolutionary information
requires continual acceleration. This is achieved by innovating algorithms to filter …

We present NEAR, a method based on representation learning that is designed to rapidly
identify good sequence alignment candidates from a large protein database. NEAR's neural …

Artificial Intelligence in Medical Genetics: Enhancing Genetic Counseling and Patient Care
through Advanced Data Analysis Page 1 Copyright© 2021, ASP Ins. This open-access …