PT  - JOURNAL ARTICLE
AU  - Joseph T Burke
AU  - Samuel Z Chen
AU  - Lo M Sosinski
AU  - John B Johnston
AU  - Janani Ravi
TI  - MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny
AID  - 10.1101/2022.02.18.461833
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2022.02.18.461833
4099  - http://biorxiv.org/content/early/2022/02/22/2022.02.18.461833.short
4100  - http://biorxiv.org/content/early/2022/02/22/2022.02.18.461833.full
AB  - Studying proteins through the lens of evolution can help identify conserved features and lineage-specific variants, and potentially, their functions. MolEvolvR (http://jravilab.org/molevolvr) is a web-app that enables researchers to run a general-purpose computational workflow for characterizing the molecular evolution and phylogeny of their proteins of interest. The web-app accepts input in multiple formats: protein/domain sequences, homologous proteins, or domain scans. MolEvolvR returns detailed homolog data, along with dynamic graphical summaries, e.g., MSA, phylogenetic trees, domain architectures, domain proximity networks, phyletic spreads, and co-occurrence patterns across lineages. Thus, MolEvolvR provides a powerful, easy-to-use interface for computational protein characterization.Competing Interest StatementThe authors have declared no competing interest.