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LZerD webserver for pairwise and multiple protein–protein docking
Protein complexes are involved in many important processes in living cells. To understand the mechanisms of these processes, it is necessary to solve the 3D structures of the protein complexes. When protein complex structures have not yet been determined by experiment, protein-protein docking tools...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262708/ https://www.ncbi.nlm.nih.gov/pubmed/33963854 http://dx.doi.org/10.1093/nar/gkab336 |
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author | Christoffer, Charles Chen, Siyang Bharadwaj, Vijay Aderinwale, Tunde Kumar, Vidhur Hormati, Matin Kihara, Daisuke |
author_facet | Christoffer, Charles Chen, Siyang Bharadwaj, Vijay Aderinwale, Tunde Kumar, Vidhur Hormati, Matin Kihara, Daisuke |
author_sort | Christoffer, Charles |
collection | PubMed |
description | Protein complexes are involved in many important processes in living cells. To understand the mechanisms of these processes, it is necessary to solve the 3D structures of the protein complexes. When protein complex structures have not yet been determined by experiment, protein-protein docking tools can be used to computationally model the structures of these complexes. Here, we present a webserver which provides access to LZerD and Multi-LZerD protein docking tools. The protocol provided by the server have performed consistently among the top in the CAPRI blind evaluation. LZerD docks pairs of structures, while Multi-LZerD can dock three or more structures simultaneously. LZerD uses a soft protein surface representation with 3D Zernike descriptors and explores the binding pose space using geometric hashing. Multi-LZerD performs multi-chain docking by combining pairwise solutions by LZerD. Both methods output full-atom docked models of the input proteins. Users can also input distance constraints between interacting or non-interacting residues as well as residues that locate at the interface or far from the interface. The webserver is equipped with a user-friendly panel that visualizes the distribution and structures of binding poses of top scoring models. The LZerD webserver is available at https://lzerd.kiharalab.org. |
format | Online Article Text |
id | pubmed-8262708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82627082021-07-08 LZerD webserver for pairwise and multiple protein–protein docking Christoffer, Charles Chen, Siyang Bharadwaj, Vijay Aderinwale, Tunde Kumar, Vidhur Hormati, Matin Kihara, Daisuke Nucleic Acids Res Web Server Issue Protein complexes are involved in many important processes in living cells. To understand the mechanisms of these processes, it is necessary to solve the 3D structures of the protein complexes. When protein complex structures have not yet been determined by experiment, protein-protein docking tools can be used to computationally model the structures of these complexes. Here, we present a webserver which provides access to LZerD and Multi-LZerD protein docking tools. The protocol provided by the server have performed consistently among the top in the CAPRI blind evaluation. LZerD docks pairs of structures, while Multi-LZerD can dock three or more structures simultaneously. LZerD uses a soft protein surface representation with 3D Zernike descriptors and explores the binding pose space using geometric hashing. Multi-LZerD performs multi-chain docking by combining pairwise solutions by LZerD. Both methods output full-atom docked models of the input proteins. Users can also input distance constraints between interacting or non-interacting residues as well as residues that locate at the interface or far from the interface. The webserver is equipped with a user-friendly panel that visualizes the distribution and structures of binding poses of top scoring models. The LZerD webserver is available at https://lzerd.kiharalab.org. Oxford University Press 2021-05-08 /pmc/articles/PMC8262708/ /pubmed/33963854 http://dx.doi.org/10.1093/nar/gkab336 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Web Server Issue Christoffer, Charles Chen, Siyang Bharadwaj, Vijay Aderinwale, Tunde Kumar, Vidhur Hormati, Matin Kihara, Daisuke LZerD webserver for pairwise and multiple protein–protein docking |
title | LZerD webserver for pairwise and multiple protein–protein docking |
title_full | LZerD webserver for pairwise and multiple protein–protein docking |
title_fullStr | LZerD webserver for pairwise and multiple protein–protein docking |
title_full_unstemmed | LZerD webserver for pairwise and multiple protein–protein docking |
title_short | LZerD webserver for pairwise and multiple protein–protein docking |
title_sort | lzerd webserver for pairwise and multiple protein–protein docking |
topic | Web Server Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8262708/ https://www.ncbi.nlm.nih.gov/pubmed/33963854 http://dx.doi.org/10.1093/nar/gkab336 |
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