ProPred: prediction of HLA-DR binding sites

Clicks: 1
ID: 302917
2001
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #737 of 829 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 829 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Summary: ProPred is a graphical web tool for predicting MHC class II binding regions in antigenic protein sequences. The server implement matrix based prediction algorithm, employing amino-acid/position coefficient table deduced from literature. The predicted binders can be visualized either as peaks in graphical interface or as colored residues in HTML interface. This server might be a useful tool in locating the promiscuous binding regions that can bind to several HLA-DR alleles. Availability: The server is available at http://www.imtech.res.in/raghava/propred/ Contact: raghava@imtech.res.in Supplementary information: http://www.imtech.res.in/raghava/propred/page3.html * To whom correspondence should be addressed.
Reference Key
openalex_W2142636897 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Harpreet Singh, Gajendra P. S. Raghava
Journal BMC Bioinformatics
Year 2001
DOI
10.1093/bioinformatics/17.12.1236
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.