We are now entering a new era in protein sequence and structure annotation, with hundreds
of millions of predicted protein structures made available through the AlphaFold database …

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Patescibacteria, also known as the candidate phyla radiation (CPR), are a diverse group of
bacteria that constitute a disproportionately large fraction of microbial dark matter. Its few …

Viral genomes are poorly annotated in metagenomic samples, representing an obstacle to
understanding viral diversity and function. Current annotation approaches rely on alignment …

Abstract Recently, utilization of Machine Learning (ML) has led to astonishing progress in
computational protein design, bringing into reach the targeted engineering of proteins for …

Variational autoencoders are unsupervised learning models with generative capabilities,
when applied to protein data, they classify sequences by phylogeny and generate de novo …

Many dominant genetic disorders result from protein-altering mutations, acting primarily
through dominant-negative (DN), gain-of-function (GOF), and loss-of-function (LOF) …

Accurately detecting distant evolutionary relationships between proteins remains an
ongoing challenge in bioinformatics. Search methods based on primary sequence struggle …

Driven by the development and upscaling of fast genome sequencing and assembly
pipelines, the number of protein-coding sequences deposited in public protein sequence …

The American lobster, Homarus americanus, is not only of considerable economic
importance but has also emerged as a premier model organism in neuroscience research …