FoldPAthreader: predicting protein folding pathway using a novel folding force field model derived from known protein universe.
Genome Biol
; 25(1): 152, 2024 06 11.
Article
em En
| MEDLINE
| ID: mdl-38862984
ABSTRACT
Protein folding has become a tractable problem with the significant advances in deep learning-driven protein structure prediction. Here we propose FoldPAthreader, a protein folding pathway prediction method that uses a novel folding force field model by exploring the intrinsic relationship between protein evolution and folding from the known protein universe. Further, the folding force field is used to guide Monte Carlo conformational sampling, driving the protein chain fold into its native state by exploring potential intermediates. On 30 example targets, FoldPAthreader successfully predicts 70% of the proteins whose folding pathway is consistent with biological experimental data.
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Base de dados:
MEDLINE
Assunto principal:
Proteínas
/
Dobramento de Proteína
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article