Literature DB >> 30904554

RaaMLab: A MATLAB toolbox that generates amino acid groups and reduced amino acid modes.

Baohang Xi1, Jin Tao1, Xiaoqing Liu2, Xinnan Xu1, Pingan He3, Qi Dai4.   

Abstract

Amino acid (AA) classification and its different biophysical and chemical characteristics have been widely applied to analyze and predict the structural, functional, expression and interaction profiles of proteins and peptides. We present RaaMLab, a free and open-source MATLAB toolbox, to facilitate studies on proteins and peptides, to generate AA groups and to extract the structural and physicochemical features of reduced AAs (RedAA). This toolbox offers 4 kinds of databases, including the physicochemical properties of AAs and their groupings, 49 AA classification methods and 5 types of biophysicochemical features of RedAAs. These factors can be easily computed based on user-defined alphabet size and AA properties of AA groupings. RaaMLab is an open source freely available at https://github.com/bioinfo0706/RaaMLab. This website also contains a tutorial, extensive documentation and examples.
Copyright © 2019. Published by Elsevier B.V.

Keywords:  AA index; Amino acid; Classification method; Protein features

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Year:  2019        PMID: 30904554     DOI: 10.1016/j.biosystems.2019.03.002

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  2 in total

Review 1.  Research progress of reduced amino acid alphabets in protein analysis and prediction.

Authors:  Yuchao Liang; Siqi Yang; Lei Zheng; Hao Wang; Jian Zhou; Shenghui Huang; Lei Yang; Yongchun Zuo
Journal:  Comput Struct Biotechnol J       Date:  2022-07-04       Impact factor: 6.155

2.  Mathematical Modeling and Computational Prediction of High-Risk Types of Human Papillomaviruses.

Authors:  Junchao Zhang; Kechao Wang
Journal:  Comput Math Methods Med       Date:  2022-07-21       Impact factor: 2.809

  2 in total

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