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MolEvolvR: A web-app for characterizing proteins using molecular evolution and phylogeny

Jacob D Krol,Joseph T Burke, Samuel Z Chen,Lo Sosinski,Faisal S Alquaddoomi,Evan P Brenner, Ethan P Wolfe, Vince P Rubinetti, Shaddai Amolitos, Kellen M Reason, John B Johnston,Janani Ravi

biorxiv(2024)

Cited 1|Views7
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Abstract
Studying proteins through the lens of evolution can reveal conserved features, lineage-specific variants, and their potential functions. MolEvolvR () is a novel web-app enabling researchers to visualize the molecular evolution of their proteins of interest in a phylogenetic context across the tree of life, spanning all superkingdoms. The web-app accepts multiple input formats – protein/domain sequences, homologous proteins, or domain scans – and, using a general-purpose computational workflow, returns detailed homolog data and dynamic graphical summaries (e.g., phylogenetic trees, multiple sequence alignments, domain architectures, domain proximity networks, phyletic spreads, co-occurrence patterns across lineages). In addition to whole protein searches, MolEvolvR can perform domain-wise analyses. Thus, MolEvolvR is a powerful, easy-to-use web interface for computational protein characterization. ### Competing Interest Statement The authors have declared no competing interest.
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