BIDD-logo
 
National University of Singapore, Science Faculty, Computational Sci Dept
 
       
   

Bioinformatics & Drug Design Group [BIDD]
SVMProt: Protein Functional Family Prediction
Protein functional families currently covered by SVMProt and prediction results.



The sequence need to be provided in RAW or FASTA format.  [HELP]

SEQUENCE

Or upload multiple sequence entries in FASTA format.

JOB NAME
YOUR EMAIL
SEQUENCE FILE

Please select machine learning methods:



Citation:

Y.H. Li, J.Y. Xu, L. Tao, X.F. Li, S. Li, X. Zeng, S.Y. Chen, P. Zhang, C. Qin, C. Zhang, Z. Chen, F. Zhu, Y.Z. Chen. (2016) SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity. PLoS One. 11(8): e0155290.

C.Z. Cai, L.Y. Han, Z.L. Ji, X. Chen, Y.Z. Chen. (2003) SVM-Prot: Web-Based Support Vector Machine Software for Functional Classification of a Protein from Its Primary Sequence. Nucleic Acids Res.. 31: 3692-3697.

List of publications that cited SVMProt.


visits

NOTE: This prediction program may take a few minutes. So please have patience with us. If you have any questions please contact either SVMStar@cz3.nus.edu.sg or Dr. Chen YuZong

 
   
 
 
Computer-aided Drug Design
About BIDD |  Databases |  Software |  Teaching |  Research |  Links

     Department of Computational Science | National University of Singapore | Blk S17, 3 Science Drive 2, Singapore 117543