Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver.
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ABSTRACT:
SUBMITTER: Strokach A
PROVIDER: S-EPMC8102803 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature
Publications
Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver.
Strokach Alexey A Becerra David D Corbi-Verge Carles C Perez-Riba Albert A Kim Philip M PM
STAR protocols 20210428 2
Computational generation of new proteins with a predetermined three-dimensional shape and computational optimization of existing proteins while maintaining their shape are challenging problems in structural biology. Here, we present a protocol that uses ProteinSolver, a pre-trained graph convolutional neural network, to quickly generate thousands of sequences matching a specific protein topology. We describe computational approaches that can be used to evaluate the generated sequences, and we sh ...[more]
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