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1,353 claims from 842 papers are on the record. 46 have been checked so far; the other 1,307 have no check with a result yet.

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Keyword: protein-peptide complex ×Clear all

3 claims from 2 papers

1. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   Harnessing protein folding neural networks for peptide–protein docking

   Tsaban, Varga, Avraham, Ben-Aharon, Khramushin and Schueler‐Furman · Nature Communications · 2022

   The authors show that AlphaFold2, designed for folding single proteins, can model peptide–protein complexes, and they compare it with the peptide docking protocol PIPER-FlexPepDock.

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   1. UncheckedAlphaFold2, built to fold single proteins, can also model how peptides bind to proteins, quickly and accurately, according to the authors.“Here, we show that, although these deep learning approaches have originally been developed for the in silico folding of protein monomers, AlphaFold2 also enables quick and accurate modeling of peptide–protein interactions.”
   2. UncheckedA simple use of AlphaFold2 can model peptide–protein complexes without peptide sequence alignments and can handle receptor shape changes on binding.“Our simple implementation of AlphaFold2 generates peptide–protein complex models without requiring multiple sequence alignment information for the peptide partner, and can handle binding-induced conformational changes of the receptor.”

2. Biochemistry, Genetics and Molecular Biology › Protein Structure and Dynamics

   From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2

   Bret, Gao, Zea, Andréani and Guérois · Nature Communications · 2024

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   1. Unchecked“Using a dataset of protein-peptide complexes involving intrinsically disordered regions that are non-redundant with the structures used in AlphaFold2 training, we show that when using the full sequences of the proteins, AlphaFold2-Multimer only achieves 40%…