Cargando…

Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation

Fibroblast growth factor receptors (FGFRs) play critical roles in the regulation of cell growth, differentiation, and proliferation. Specifically, FGFR2 gene amplification has been implicated in gastric and breast cancer. Pan-FGFR inhibitors often cause large toxic side effects, and the highly conse...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Mingyang, Yasen, Miersalijiang, Lu, Shaoyong, Ma, De-Ning, Chai, Zongtao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052029/
https://www.ncbi.nlm.nih.gov/pubmed/36985681
http://dx.doi.org/10.3390/molecules28062709
_version_ 1785015034677559296
author Zhang, Mingyang
Yasen, Miersalijiang
Lu, Shaoyong
Ma, De-Ning
Chai, Zongtao
author_facet Zhang, Mingyang
Yasen, Miersalijiang
Lu, Shaoyong
Ma, De-Ning
Chai, Zongtao
author_sort Zhang, Mingyang
collection PubMed
description Fibroblast growth factor receptors (FGFRs) play critical roles in the regulation of cell growth, differentiation, and proliferation. Specifically, FGFR2 gene amplification has been implicated in gastric and breast cancer. Pan-FGFR inhibitors often cause large toxic side effects, and the highly conserved ATP-binding pocket in the FGFR1/2/3 isoforms poses an immense challenge in designing selective FGFR2 inhibitors. Recently, an indazole-based inhibitor has been discovered that can selectively target FGFR2. However, the detailed mechanism involved in selective inhibition remains to be clarified. To this end, we performed extensive molecular dynamics simulations of the apo and inhibitor-bound systems along with multiple analyses, including Markov state models, principal component analysis, a cross-correlation matrix, binding free energy calculation, and community network analysis. Our results indicated that inhibitor binding induced the phosphate-binding loop (P-loop) of FGFR2 to switch from the open to the closed conformation. This effect enhanced extensive hydrophobic FGFR2-inhibitor contacts, contributing to inhibitor selectivity. Moreover, the key conformational intermediate states, dynamics, and driving forces of this transformation were uncovered. Overall, these findings not only provided a structural basis for understanding the closed P-loop conformation for therapeutic potential but also shed light on the design of selective inhibitors for treating specific types of cancer.
format Online
Article
Text
id pubmed-10052029
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-100520292023-03-30 Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation Zhang, Mingyang Yasen, Miersalijiang Lu, Shaoyong Ma, De-Ning Chai, Zongtao Molecules Article Fibroblast growth factor receptors (FGFRs) play critical roles in the regulation of cell growth, differentiation, and proliferation. Specifically, FGFR2 gene amplification has been implicated in gastric and breast cancer. Pan-FGFR inhibitors often cause large toxic side effects, and the highly conserved ATP-binding pocket in the FGFR1/2/3 isoforms poses an immense challenge in designing selective FGFR2 inhibitors. Recently, an indazole-based inhibitor has been discovered that can selectively target FGFR2. However, the detailed mechanism involved in selective inhibition remains to be clarified. To this end, we performed extensive molecular dynamics simulations of the apo and inhibitor-bound systems along with multiple analyses, including Markov state models, principal component analysis, a cross-correlation matrix, binding free energy calculation, and community network analysis. Our results indicated that inhibitor binding induced the phosphate-binding loop (P-loop) of FGFR2 to switch from the open to the closed conformation. This effect enhanced extensive hydrophobic FGFR2-inhibitor contacts, contributing to inhibitor selectivity. Moreover, the key conformational intermediate states, dynamics, and driving forces of this transformation were uncovered. Overall, these findings not only provided a structural basis for understanding the closed P-loop conformation for therapeutic potential but also shed light on the design of selective inhibitors for treating specific types of cancer. MDPI 2023-03-17 /pmc/articles/PMC10052029/ /pubmed/36985681 http://dx.doi.org/10.3390/molecules28062709 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Mingyang
Yasen, Miersalijiang
Lu, Shaoyong
Ma, De-Ning
Chai, Zongtao
Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation
title Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation
title_full Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation
title_fullStr Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation
title_full_unstemmed Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation
title_short Decoding the Conformational Selective Mechanism of FGFR Isoforms: A Comparative Molecular Dynamics Simulation
title_sort decoding the conformational selective mechanism of fgfr isoforms: a comparative molecular dynamics simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052029/
https://www.ncbi.nlm.nih.gov/pubmed/36985681
http://dx.doi.org/10.3390/molecules28062709
work_keys_str_mv AT zhangmingyang decodingtheconformationalselectivemechanismoffgfrisoformsacomparativemoleculardynamicssimulation
AT yasenmiersalijiang decodingtheconformationalselectivemechanismoffgfrisoformsacomparativemoleculardynamicssimulation
AT lushaoyong decodingtheconformationalselectivemechanismoffgfrisoformsacomparativemoleculardynamicssimulation
AT madening decodingtheconformationalselectivemechanismoffgfrisoformsacomparativemoleculardynamicssimulation
AT chaizongtao decodingtheconformationalselectivemechanismoffgfrisoformsacomparativemoleculardynamicssimulation