| Literature DB >> 34542864 |
Carlos Barreto1, Andriele Silva1,2, Eliza Wiech1, Antonio Lopez1, Avdar San1,2, Shaneen Singh3,4,5.
Abstract
Proteomic analyses have become an essential part of the toolkit of the molecular biologist, given the widespread availability of genomic data and open source or freely accessible bioinformatics software. Tools are available for detecting homologous sequences, recognizing functional domains, and modeling the three-dimensional structure for any given protein sequence, as well as for predicting interactions with other proteins or macromolecules. Although a wealth of structural and functional information is available for many cytoskeletal proteins, with representatives spanning all of the major subfamilies, the majority of cytoskeletal proteins remain partially or totally uncharacterized. Moreover, bioinformatics tools provide a means for studying the effects of synthetic mutations or naturally occurring variants of these cytoskeletal proteins. This chapter discusses various freely available proteomic analysis tools, with a focus on in silico prediction of protein structure and function. The selected tools are notable for providing an easily accessible interface for the novice while retaining advanced functionality for more experienced computational biologists.Entities:
Keywords: Comparative modeling; Docking analysis; Homology modeling; Multiple sequence alignment; Protein domains; Protein-protein interactions; Proteomics; Secondary structure prediction; Sequence similarity; Structure analysis; Threading
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Year: 2022 PMID： 34542864 DOI： 10.1007/978-1-0716-1661-1_19
Source DB: PubMed Journal: Methods Mol Biol ISSN： 1064-3745