2022
DOI: 10.1101/2022.02.18.461833
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

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

Abstract: 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 dat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
22
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
3
2

Relationship

4
1

Authors

Journals

citations
Cited by 8 publications
(24 citation statements)
references
References 72 publications
0
22
0
Order By: Relevance
“…To begin investigating the evolutionary conservation of the L. monocytogenes internalin P (InlP Lm ), we started with an extensive homology search and protein characterization of InlP-like proteins in diverse lineages across the tree of life using MolEvolvR [20] (http://jravilab.org/molevolvr). Most homologs were only present within the genus Listeria .…”
Section: Resultsmentioning
confidence: 99%
See 3 more Smart Citations
“…To begin investigating the evolutionary conservation of the L. monocytogenes internalin P (InlP Lm ), we started with an extensive homology search and protein characterization of InlP-like proteins in diverse lineages across the tree of life using MolEvolvR [20] (http://jravilab.org/molevolvr). Most homologs were only present within the genus Listeria .…”
Section: Resultsmentioning
confidence: 99%
“…ivanovii and L. seeligeri as new starting points for our homology search and characterization (using MolEvolvR [20]; see the Methods section). We found several hits in our multi-start search, including proteins that contain transmembrane domains, resembling InlB rather than InlP ().…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…We added relevant metadata to each of these homologs, including corresponding NCBI protein accession numbers, protein length, taxID, species, and lineages. We used MolEvolvR (39) and the underlying InterProScan (85) to explore the domain architectures, cellular localizations, and disorder predictions for all ∼27K DciA proteins. The resulting domain architectures (from MolEvolvR) were also appended to each homolog’s metadata.…”
Section: Methodsmentioning
confidence: 99%