SySAP: a system-level predictor of deleterious single amino acid polymorphisms
Protein & Cell
;
(12): 38-43, 2012.
Article
in English
| WPRIM
| ID: wpr-757317
ABSTRACT
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/.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Software
/
Reproducibility of Results
/
Conserved Sequence
/
Computational Biology
/
Internet
/
Polymorphism, Single Nucleotide
/
Databases, Protein
/
Genetics
/
Amino Acids
/
Methods
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Protein & Cell
Year:
2012
Type:
Article
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