Suppr超能文献

评估一种计算流程以识别与α2β1整合素结合的基序。

Assessing a computational pipeline to identify binding motifs to the 21 integrin.

作者信息

Liu Qianchen, Perez Alberto

机构信息

Department of Chemistry and Quantum Theory Project, University of Florida, Gainesville, FL, United States.

出版信息

Front Chem. 2023 Feb 13;11:1107400. doi: 10.3389/fchem.2023.1107400. eCollection 2023.

Abstract

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 21 integrin.

摘要

细胞表面的整合素与细胞外基质(ECM)中发现的功能基序相互作用,这些功能基序促使细胞进行诸如迁移、黏附或生长等生物学行为。多种纤维蛋白,如胶原蛋白或纤连蛋白,构成了细胞外基质。生物力学工程领域经常涉及与细胞外基质兼容的生物材料设计,这些生物材料会引发细胞反应(例如在组织再生中)。然而,与所有可用的肽表位序列相比,已知的整合素结合基序数量相对较少。计算工具可以帮助识别新的基序,但受到整合素结构域结合建模挑战的限制。我们重新审视了一系列传统和新型计算工具,以评估它们在识别21整合素I结构域新结合基序方面的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16fa/9968975/a591806ea544/fchem-11-1107400-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验