Bibliographic Details
| 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 |
