Alignment-free sequence analyses have been applied to problems ranging from whole- genome phylogeny to the classification of protein families, identification of horizontally …
Recent breakthroughs have used deep learning to exploit evolutionary information in multiple sequence alignments (MSAs) to accurately predict protein structures. However …
We are at the beginning of a genomic revolution in which all known species are planned to be sequenced. Accessing such data for comparative analyses is crucial in this new age of …
R Chowdhury, N Bouatta, S Biswas, C Floristean… - Nature …, 2022 - nature.com
AlphaFold2 and related computational systems predict protein structure using deep learning and co-evolutionary relationships encoded in multiple sequence alignments (MSAs) …
Abstract Structure comparison and alignment are of fundamental importance in structural biology studies. We developed the first universal platform, US-align, to uniformly align …
Abstract The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), the US data center for the global PDB archive and a founding member of the …
Elucidating the similarity and diversity of pathogen effectors is critical to understand their evolution across fungal phytopathogens. However, rapid divergence that diminishes …
F Gabler, SZ Nam, S Till, M Mirdita… - Current Protocols in …, 2020 - Wiley Online Library
Abstract The MPI Bioinformatics Toolkit (https://toolkit. tuebingen. mpg. de) provides interactive access to a wide range of the best‐performing bioinformatics tools and …
Language models have recently emerged as a powerful machine-learning approach for distilling information from massive protein sequence databases. From readily available …