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Assessing a computational pipeline to identify binding motifs to the α2β1 integrin

Integrins in the cell surface interact with functional motifs found in the extracellular matrix (ECM) that queue the cell for biological actions such as migration, adhesion, or growth. Multiple fibrous proteins such as collagen or fibronectin compose the ECM. The field of biomechanical engineering o...

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Detalles Bibliográficos
Autores principales: Liu, Qianchen, Perez, Alberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968975/
https://www.ncbi.nlm.nih.gov/pubmed/36860646
http://dx.doi.org/10.3389/fchem.2023.1107400
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author Liu, Qianchen
Perez, Alberto
author_facet Liu, Qianchen
Perez, Alberto
author_sort Liu, Qianchen
collection PubMed
description Integrins in the cell surface interact with functional motifs found in the extracellular matrix (ECM) that queue the cell for biological actions such as migration, adhesion, or growth. Multiple fibrous proteins such as collagen or fibronectin compose the ECM. The field of biomechanical engineering often deals with the design of biomaterials compatible with the ECM that will trigger cellular response (e.g., in tissue regeneration). However, there are a relative few number of known integrin binding motifs compared to all the possible peptide epitope sequences available. Computational tools could help identify novel motifs, but have been limited by the challenges in modeling the binding to integrin domains. We revisit a series of traditional and novel computational tools to assess their performance in identifying novel binding motifs for the I-domain of the α2β1 integrin.
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spelling pubmed-99689752023-02-28 Assessing a computational pipeline to identify binding motifs to the α2β1 integrin Liu, Qianchen Perez, Alberto Front Chem Chemistry Integrins in the cell surface interact with functional motifs found in the extracellular matrix (ECM) that queue the cell for biological actions such as migration, adhesion, or growth. Multiple fibrous proteins such as collagen or fibronectin compose the ECM. The field of biomechanical engineering often deals with the design of biomaterials compatible with the ECM that will trigger cellular response (e.g., in tissue regeneration). However, there are a relative few number of known integrin binding motifs compared to all the possible peptide epitope sequences available. Computational tools could help identify novel motifs, but have been limited by the challenges in modeling the binding to integrin domains. We revisit a series of traditional and novel computational tools to assess their performance in identifying novel binding motifs for the I-domain of the α2β1 integrin. Frontiers Media S.A. 2023-02-13 /pmc/articles/PMC9968975/ /pubmed/36860646 http://dx.doi.org/10.3389/fchem.2023.1107400 Text en Copyright © 2023 Liu and Perez. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Chemistry
Liu, Qianchen
Perez, Alberto
Assessing a computational pipeline to identify binding motifs to the α2β1 integrin
title Assessing a computational pipeline to identify binding motifs to the α2β1 integrin
title_full Assessing a computational pipeline to identify binding motifs to the α2β1 integrin
title_fullStr Assessing a computational pipeline to identify binding motifs to the α2β1 integrin
title_full_unstemmed Assessing a computational pipeline to identify binding motifs to the α2β1 integrin
title_short Assessing a computational pipeline to identify binding motifs to the α2β1 integrin
title_sort assessing a computational pipeline to identify binding motifs to the α2β1 integrin
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9968975/
https://www.ncbi.nlm.nih.gov/pubmed/36860646
http://dx.doi.org/10.3389/fchem.2023.1107400
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