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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-9968975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liuqianchen assessingacomputationalpipelinetoidentifybindingmotifstothea2b1integrin AT perezalberto assessingacomputationalpipelinetoidentifybindingmotifstothea2b1integrin |