RVP-net: online prediction of real valued accessible surface area of proteins from single sequences
RVP-net: online prediction of real valued accessible surface area of proteins from single sequences
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DOI：
10.1093/bioinformatics/btg249
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发表时间：
2003-09-22
期刊：
影响因子：
5.8
通讯作者：
Sarai, A
中科院分区：
文献类型：
--
作者：
Ahmad, S;Gromiha, MM;Sarai, A
RVP-net是一个预测真实的值溶剂可及性的在线程序。所有以前的可及表面积（阿萨）预测方法将氨基酸残基分类为暴露状态，并根据不同的阈值将其命名为掩埋或暴露。在某些情况下，通过取这些状态阈值的中点来生成真实的值。这是第一种方法，它提供了一个直接预测阿萨，而不进行曝光类别，并取得了优于19%的平均绝对误差的结果。为了便于批量处理多个序列，还提供了此工具的独立版本。
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.