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09:37
An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
Bioinformatics approaches for functional annotation of membrane proteins
1Department of Biotechnology, Indian Institute of Technology Madras, Chennai 600036, Tamilnadu, India. Tel.: +91-44-2257-4138; Fax: +91-44-2257-4102; gromiha@iitm.ac.in.
Briefings in Bioinformatics
|March 26, 2013
Summary
This review compiles bioinformatics resources for membrane protein functions, including databases, structure-function analysis, and computational algorithms. It highlights available tools for functional annotation of these vital biological molecules.
Area of Science:
- Biochemistry
- Bioinformatics
- Molecular Biology
Background:
- Membrane proteins are crucial for cellular processes, acting as transporters, receptors, and channels.
- Computational approaches have advanced membrane protein research, yet functional bioinformatics resources remain less documented than structural ones.
Purpose of the Study:
- To provide a comprehensive review of bioinformatics resources for membrane protein functions.
- To focus on databases, structure-function analysis, and algorithms for functional annotation.
Main Methods:
- Compilation and review of existing databases for membrane protein functions (transporters, receptors, ion channels).
- Analysis of membrane protein functions based on structural, motif, and amino acid properties.
- Review of algorithms for discriminating and annotating membrane proteins in genomic sequences.
Main Results:
- Identification and categorization of functional databases for various membrane protein types.
- Exploration of methods for analyzing membrane protein function through structural and sequence features.
- Overview of computational algorithms for genomic-based membrane protein annotation.
Conclusions:
- This review consolidates key bioinformatics resources and methodologies for understanding membrane protein functions.
- It offers a valuable guide to online databases and web servers for functional annotation, aiding future research.
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