This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides
Sept.-Oct. 2012 (vol. 9 no. 5)
pp. 1535-1538
Shaini Joseph, Biomed. Inf. Center of Indian Council of Med. Res., Nat. Inst. for Res. in Reproductive Health, Mumbai, India
Shreyas Karnik, Sch. of Inf., Indiana Univ., Marshfield, WI, USA
Pravin Nilawe, Biomed. Inf. Center of Indian Council of Med. Res., Nat. Inst. for Res. in Reproductive Health, Navi Mumbai, India
V. K. Jayaraman, Center for Dev. of Adv. Comput., Pune Univ. Campus, Pune, India
Susan Idicula-Thomas, Biomed. Inf. Center of Indian Council of Med. Res., Nat. Inst. for Res. in Reproductive Health, Mumbai, India
Antimicrobial peptides (AMPs) are gaining popularity as anti-infective agents. Information on sequence features that contribute to target specificity of AMPs will aid in accelerating drug discovery programs involving them. In this study, an algorithm called ClassAMP using Random Forests (RFs) and Support Vector Machines (SVMs) has been developed to predict the propensity of a protein sequence to have antibacterial, antifungal, or antiviral activity. ClassAMP is available at http://www.bicnirrh.res.in/classamp/.
Index Terms:
support vector machines,antibacterial activity,biology computing,drugs,molecular biophysics,proteins,random sequences,antiviral activity,ClassAMP,antimicrobial peptide classification,antiinfective agents,sequence features,drug discovery programs,random forests,support vector machines,SVM,protein sequence,antibacterial activity,antifungal activity,Anti-bacterial,Support vector machines,Anti-fungal,Radio frequency,Peptides,Predictive models,Training,SVM.,Antibacterial,antifungal,antimicrobial,antiviral,prediction algorithm,random forests
Citation:
Shaini Joseph, Shreyas Karnik, Pravin Nilawe, V. K. Jayaraman, Susan Idicula-Thomas, "ClassAMP: A Prediction Tool for Classification of Antimicrobial Peptides," IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 9, no. 5, pp. 1535-1538, Sept.-Oct. 2012, doi:10.1109/TCBB.2012.89
Usage of this product signifies your acceptance of the Terms of Use.