bioRxivBioinformaticsPreprint
MembraneFold: Visualising transmembrane protein structure and topology
Santiago Gutierrez, Wojciech G. Tyczynski, Wouter BoomsmaiD, Felix TeufeliD, Ole WintheriD
Abstract
BackgroundAlphaFolds accuracy, which is often comparable to that of experimentally determined structures, has revolutionized protein structure research. Being a statistical method, AlphaFold implicitly infers the cellular environment, e.g. the cell membrane, from the protein sequence. Membrane protein topology prediction methods predict the cellular environment for each protein residue but not the structure. Current structure and topology tools thus provide complementary information. ResultsWe introduce the web server MembraneFold. MembraneFold combines protein structure (from an uploaded PDB file/AlphaFold DB/OmegaFold) and topology (DeepTMHMM) prediction in one server. The output is shown both as a structure with topology superimposed and as a sequence annotation. MembraneFold uses structures predicted by OmegaFold if neither a PDB file is uploaded nor the structure is available in AlphaFold DB. ConclusionMembraneFold is a user-friendly web server that provides practitioners with fast and accurate information about membrane proteins. It is available at https://ku.biolib.com/MembraneFold/.
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