RVP-net: online prediction of real valued accessible surface area of proteins from single sequences

被引:75
作者
Ahmad, S [1 ]
Gromiha, MM
Sarai, A
机构
[1] Kyushu Inst Technol, Dept Biochem Engn & Sci, Izuka, Fukuoka 8208502, Japan
[2] AIST, Computat Biol Res Ctr, Koto Ku, Tokyo 1350064, Japan
关键词
D O I
10.1093/bioinformatics/btg249
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
RVP-net is an online program for the prediction of real valued solvent accessibility. All previous methods of accessible surface area (ASA) predictions classify amino acid residues into exposure states and named them buried or exposed based on different thresholds. Real values in some cases were generated by taking the mid points of these state thresholds. This is the first method, which provides a direct prediction of ASA without making exposure categories and achieves results better than 19% mean absolute error. To facilitate batch processing of several sequences, a standalone version of this tool is also provided.
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页码:1849 / 1851
页数:3
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