AVPpred

AVPpred is a web-based tool to predict antiviral peptides. The database contains 1,245 experimentally validated antiviral peptides against human viruses, such as influenza, HIV, HCV, and SARS. The prediction algorithm uses a support vector machine (SVM). It achieves 0.70 Matthew's Correlation Coefficient (MCC), of which the Authors validated 86% experimentally.

Topic

Small molecules;Virology;Experimental design and studies;Drug discovery

Detail

  • Operation: Peptide immunogenicity prediction;Correlation;Validation;Prediction and recognition;Peptide identification

  • Software interface: Web user interface

  • Language: PHP

  • License: -

  • Cost: Free

  • Version name: -

  • Credit: Council of Scientific and Industrial Research (CSIR); Department of Biotechnology, Government of India, CSIR-IMTECH, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh.

  • Input: -

  • Output: -

  • Contact: manojk@imtech.res.in

  • Collection: -

  • Maturity: -

Publications

  • AVPpred: collection and prediction of highly effective antiviral peptides.
  • Thakur N, Qureshi A, Kumar M. AVPpred: collection and prediction of highly effective antiviral peptides. Nucleic Acids Res. 2012 Jul;40(Web Server issue):W199-204. doi: 10.1093/nar/gks450. Epub 2012 May 25. PMID: 22638580; PMCID: PMC3394244.
  • https://doi.org/10.1093/nar/gks450
  • PMID: 22638580
  • PMC: PMC3394244

Download and documentation

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