| Literature DB >> 30904554 |
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.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