Table of Contents    
ARTICLE
Year : 2011  |  Volume : 2  |  Issue : 3  |  Page : 13-21  

Prediction of the effects of missence mutations in human proteins


Laboratory of Computational Biology, Centre for DNA Fingerprinting & Diagnostics (CDFD), Gruhakalpa, Nampally, Hyderabad 500 00, Andhra Pradesh, India

Date of Web Publication26-May-2012

Correspondence Address:
H A Nagarajaram
Laboratory of Computational Biology, Centre for DNA Fingerprinting & Diagnostics (CDFD), Gruhakalpa, Nampally, Hyderabad 500 00, Andhra Pradesh
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


Rights and PermissionsRights and Permissions

How to cite this article:
Nagarajaram H A. Prediction of the effects of missence mutations in human proteins. J Nat Sc Biol Med 2011;2, Suppl S1:13-21

How to cite this URL:
Nagarajaram H A. Prediction of the effects of missence mutations in human proteins. J Nat Sc Biol Med [serial online] 2011 [cited 2020 Jan 28];2, Suppl S1:13-21. Available from: http://www.jnsbm.org/text.asp?2011/2/3/13/95730

Phenotypic effects ("disease" and "neutral") of a large number of missence mutations caused by nsSNPs as well as rare mutations have not been characterized. It is therefore perceived as highly important to develop methods for accurate prediction of the phenotypic effects of missense mutations. We recently developed a SVM-based method named as Hansa which uses a novel set of discriminatory features to classify missense mutations into disease and neutral types. Hansa was evaluated by performing a five-fold cross validation on a benchmark dataset comprising of well characterized known disease and neutral mutations. Further validation studies were also conducted using an independent dataset of known cancer missense mutations. These studies unequivocally showed that Hansa achieves better prediction accuracies as compared to the other known methods.






 

Top
  
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article

 Article Access Statistics
    Viewed871    
    Printed69    
    Emailed0    
    PDF Downloaded139    
    Comments [Add]    

Recommend this journal