Volume 3 Issue 1
Jan.  2012
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Tao Huang, Chuan Wang, Guoqing Zhang, Lu Xie, Yixue Li. SySAP: a system-level predictor of deleterious single amino acid polymorphisms[J]. Protein&Cell, 2012, 3(1): 38-43. doi: 10.1007/s13238-011-1130-2
Citation: Tao Huang, Chuan Wang, Guoqing Zhang, Lu Xie, Yixue Li. SySAP: a system-level predictor of deleterious single amino acid polymorphisms[J]. Protein&Cell, 2012, 3(1): 38-43. doi: 10.1007/s13238-011-1130-2

SySAP: a system-level predictor of deleterious single amino acid polymorphisms

doi: 10.1007/s13238-011-1130-2
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This work was supported by the National Basic Research Program of China (973 Program) (Grant Nos. 2011CB910204, 2010CB529206, and 2010CB912702), Research Program of the Chinese Academy of Sciences (KSCX2-EW-R-04, KSCX2-YW-R-190, 2011KIP204), National Natural Science Foundation of China (Grant Nos. 30900272 and 31070752), National Key Technology R&D Program in the 11th Five Year Plan of China (No. 2008BAI64B01), National High-Tech R&D Program of China (863 Program) (Grant No. 2009AA02Z304) and National Scientific-Basic Special Fund (No. 2009FY120100).

  • Received Date: 2011-11-04
  • Rev Recd Date: 2011-11-14
  • Single amino acid polymorphisms (SAPs), also known as non-synonymous single nucleotide polymorphisms (nsSNPs), are responsible for most of human genetic diseases. Discriminate the deleterious SAPs from neutral ones can help identify the disease genes and understand the mechanism of diseases. In this work, a method of deleterious SAP prediction at system level was established. Unlike most existing methods, our method not only considers the sequence and structure information, but also the network information. The integration of network information can improve the performance of deleterious SAP prediction. To make our method available to the public, we developed SySAP (a System-level predictor of deleterious Single Amino acid Polymorphisms), an easy-to-use and high accurate web server. SySAP is freely available at http://www.biosino.org/SySAP/and http://lifecenter.sgst.cn/SySAP/.
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