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In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor

BACKGROUND: The AAA + ATPase p97 is an essential unfoldase/segragase involved in a multitude of cellular processes. It functions as a molecular machine critical for protein homeostasis, homotypic membrane fusion events and organelle biogenesis during mitosis in which it acts in concert with cofactor...

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Autores principales: Mirzadeh, Abolfazl, Kobakhidze, George, Vuillemot, Rémi, Jonic, Slavica, Rouiller, Isabelle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464413/
https://www.ncbi.nlm.nih.gov/pubmed/36088301
http://dx.doi.org/10.1186/s12860-022-00437-2
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author Mirzadeh, Abolfazl
Kobakhidze, George
Vuillemot, Rémi
Jonic, Slavica
Rouiller, Isabelle
author_facet Mirzadeh, Abolfazl
Kobakhidze, George
Vuillemot, Rémi
Jonic, Slavica
Rouiller, Isabelle
author_sort Mirzadeh, Abolfazl
collection PubMed
description BACKGROUND: The AAA + ATPase p97 is an essential unfoldase/segragase involved in a multitude of cellular processes. It functions as a molecular machine critical for protein homeostasis, homotypic membrane fusion events and organelle biogenesis during mitosis in which it acts in concert with cofactors p47 and p37. Cofactors assist p97 in extracting and unfolding protein substrates through ATP hydrolysis. In contrast to other p97ʼs cofactors, p37 uniquely increases the ATPase activity of p97. Disease-causing mutations in p97, including mutations that cause neurodegenerative diseases, increase cofactor association with its N-domain, ATPase activity and improper substrate processing. Upregulation of p97 has also been observed in various cancers. This study aims towards the characterization of the protein–protein interaction between p97 and p37 at the atomic level. We defined the interacting residues in p97 and p37. The knowledge will facilitate the design of unique small molecules inhibiting this interaction with insights into cancer therapy and drug design. RESULTS: The homology model of human p37 UBX domain was built from the X-ray crystal structure of p47 C-terminus from rat (PDB code:1S3S, G) as a template and assessed by model validation analysis. According to the HDOCK, HAWKDOCK, MM-GBSA binding free energy calculations and Arpeggio, we found that there are several hydrophobic and two hydrogen-bonding interactions between p37 UBX and p97 N-D1 domain. Residues of p37 UBX predicted to be involved in the interactions with p97 N-D1 domain interface are highly conserved among UBX cofactors. CONCLUSION: This study provides a reliable structural insight into the p37-p97 complex binding sites at the atomic level though molecular docking coupled with molecular dynamics simulation. This can guide the rational design of small molecule drugs for inhibiting mutant p97 activity.
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spelling pubmed-94644132022-09-12 In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor Mirzadeh, Abolfazl Kobakhidze, George Vuillemot, Rémi Jonic, Slavica Rouiller, Isabelle BMC Mol Cell Biol Research BACKGROUND: The AAA + ATPase p97 is an essential unfoldase/segragase involved in a multitude of cellular processes. It functions as a molecular machine critical for protein homeostasis, homotypic membrane fusion events and organelle biogenesis during mitosis in which it acts in concert with cofactors p47 and p37. Cofactors assist p97 in extracting and unfolding protein substrates through ATP hydrolysis. In contrast to other p97ʼs cofactors, p37 uniquely increases the ATPase activity of p97. Disease-causing mutations in p97, including mutations that cause neurodegenerative diseases, increase cofactor association with its N-domain, ATPase activity and improper substrate processing. Upregulation of p97 has also been observed in various cancers. This study aims towards the characterization of the protein–protein interaction between p97 and p37 at the atomic level. We defined the interacting residues in p97 and p37. The knowledge will facilitate the design of unique small molecules inhibiting this interaction with insights into cancer therapy and drug design. RESULTS: The homology model of human p37 UBX domain was built from the X-ray crystal structure of p47 C-terminus from rat (PDB code:1S3S, G) as a template and assessed by model validation analysis. According to the HDOCK, HAWKDOCK, MM-GBSA binding free energy calculations and Arpeggio, we found that there are several hydrophobic and two hydrogen-bonding interactions between p37 UBX and p97 N-D1 domain. Residues of p37 UBX predicted to be involved in the interactions with p97 N-D1 domain interface are highly conserved among UBX cofactors. CONCLUSION: This study provides a reliable structural insight into the p37-p97 complex binding sites at the atomic level though molecular docking coupled with molecular dynamics simulation. This can guide the rational design of small molecule drugs for inhibiting mutant p97 activity. BioMed Central 2022-09-10 /pmc/articles/PMC9464413/ /pubmed/36088301 http://dx.doi.org/10.1186/s12860-022-00437-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Mirzadeh, Abolfazl
Kobakhidze, George
Vuillemot, Rémi
Jonic, Slavica
Rouiller, Isabelle
In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
title In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
title_full In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
title_fullStr In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
title_full_unstemmed In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
title_short In silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
title_sort in silico prediction, characterization, docking studies and molecular dynamics simulation of human p97 in complex with p37 cofactor
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9464413/
https://www.ncbi.nlm.nih.gov/pubmed/36088301
http://dx.doi.org/10.1186/s12860-022-00437-2
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