Identification of deleterious non-synonymous single nucleotide polymorphisms using sequence-derived information |
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Authors: | Jing Hu Changhui Yan |
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Institution: | (1) Department of Computer Science, Utah State University, Logan, UT 84322, USA |
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Abstract: | Background As the number of non-synonymous single nucleotide polymorphisms (nsSNPs), also known as single amino acid polymorphisms (SAPs),
increases rapidly, computational methods that can distinguish disease-causing SAPs from neutral SAPs are needed. Many methods
have been developed to distinguish disease-causing SAPs based on both structural and sequence features of the mutation point.
One limitation of these methods is that they are not applicable to the cases where protein structures are not available. In
this study, we explore the feasibility of classifying SAPs into disease-causing and neutral mutations using only information
derived from protein sequence. |
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Keywords: | |
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