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Characterizing and explaining impact of disease-associated mutations in proteins without known structures or structural homologues

2021-11-19

Abstract excerpt

Mutations in human proteins lead to diseases. The structure of these proteins can help understand the mechanism of such diseases and develop therapeutics against them. With improved deep learning techniques such as RoseTTAFold and AlphaFold, we can predict the structure of proteins even in the absence of structural homologues. We modeled and extracted the domains from 553 disease-associated human proteins without...

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Identifiers and source

Literature Corpus work
67e78da1-b2e0-5df7-aa32-318d2e3feefe
DOI
10.1101/2021.11.17.468998
Open publication

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Characterizing and explaining impact of disease-associated mutations in proteins without known structures or structural homologuesDOI 10.1101/2021.11.17.468998
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