Academic Journal
Harnessing protein folding neural networks for peptide–protein docking
| Title: | Harnessing protein folding neural networks for peptide–protein docking |
|---|---|
| Authors: | Tomer Tsaban, Julia K. Varga, Orly Avraham, Ziv Ben-Aharon, Alisa Khramushin, Ora Schueler-Furman |
| Source: | Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022) |
| Publisher Information: | Nature Portfolio, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Science |
| Subject Terms: | Science |
| More Details: | AlphaFold2 has originally been developed to provide highly accurate predictions of protein monomer structures. Here, the authors present a simple adaptation of AlphaFold2 that enables structural modeling of peptide–protein complexes, and explore the underlying mechanisms and limitations of this approach. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2041-1723 |
| Relation: | https://doaj.org/toc/2041-1723 |
| DOI: | 10.1038/s41467-021-27838-9 |
| Access URL: | https://doaj.org/article/498a78dc72be44ae80a6bac350a603c6 |
| Accession Number: | edsdoj.498a78dc72be44ae80a6bac350a603c6 |
| Database: | Directory of Open Access Journals |
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