A survey on prediction of specificity-determining sites in proteins
IR@IICB: CSIR-Indian Institute of Chemical Biology, Kolkata
View Archive Info| Field | Value | |
| Title |
A survey on prediction of specificity-determining sites in proteins
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| Creator |
Chakraborty, Abhijit
Chakrabarti, Saikat |
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| Subject |
Structural Biology & Bioinformatics
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| Description |
Specificity-determining sites (SDS) are the key positions of a protein family that show a specific conservation of
amino acids, related to the subfamily members of that family. SDS play crucial role in developing functional variation within the protein family during the course of evolution.Thus, it is important to identify SDS to understand the evolutionary process of diversification of biological functions within a protein family. A wide range of computational tools have been designed to detect such SDS. In this review, we intend to examine the concept of SDS in more detailsalong with the advancements and drawbacks of different computational approaches designed towards successful prediction of SDS. Further, we discussed the algorithms behind the computational approaches developed till dateand provide an exhaustive comparison of performance of each method.We also introduce a new ensemble approach, SubSite as another tool to predict SDS through a user-friendly webserver available at .
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| Date |
2015
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://www.eprints.iicb.res.in/2206/1/BRIEFINGS_IN_BIOINFORMATICS__V.__16__(_1_)_71%2D88_;2015[105].pdf
Chakraborty, Abhijit and Chakrabarti, Saikat (2015) A survey on prediction of specificity-determining sites in proteins. Briefings in Bioinformatics, 16 (1). pp. 71-88. |
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| Relation |
http://dx.doi.org/10.1093/bib/bbt092
http://www.eprints.iicb.res.in/2206/ |
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