Jayaraman VK - Search Results

1

AllerBase: a comprehensive allergen knowledgebase.

Kadam K, Karbhal R, Jayaraman VK, Sawant S, Kulkarni-Kale U. Kadam K, et al. Among authors: jayaraman vk. Database (Oxford). 2017 Jan 1;2017:bax066. doi: 10.1093/database/bax066. Database (Oxford). 2017. PMID: 29220458 Free PMC article.

2

SVM prediction of ligand-binding sites in bacterial lipoproteins employing shape and physio-chemical descriptors.

Kadam K, Prabhakar P, Jayaraman VK. Kadam K, et al. Among authors: jayaraman vk. Protein Pept Lett. 2012 Nov;19(11):1155-62. doi: 10.2174/092986612803217042. Protein Pept Lett. 2012. PMID: 22587788

3

LIPOPREDICT: bacterial lipoprotein prediction server.

Kumari SR, Kadam K, Badwaik R, Jayaraman VK. Kumari SR, et al. Among authors: jayaraman vk. Bioinformation. 2012;8(8):394-8. doi: 10.6026/97320630008394. Epub 2012 Apr 30. Bioinformation. 2012. PMID: 22570522 Free PMC article.

4

Defensinpred: defensin and defensin types prediction server.

Kumari SR, Badwaik R, Sundararajan V, Jayaraman VK. Kumari SR, et al. Among authors: jayaraman vk. Protein Pept Lett. 2012 Dec;19(12):1318-23. doi: 10.2174/092986612803521594. Protein Pept Lett. 2012. PMID: 22670676

5

Structure based function prediction of proteins using fragment library frequency vectors.

Yadav A, Jayaraman VK. Yadav A, et al. Among authors: jayaraman vk. Bioinformation. 2012;8(19):953-6. doi: 10.6026/97320630008953. Epub 2012 Oct 1. Bioinformation. 2012. PMID: 23144557 Free PMC article.

6

A text mining approach to detect mentions of protein glycosylation in biomedical text.

Shukla D, Jayaraman VK. Shukla D, et al. Among authors: jayaraman vk. Bioinformation. 2012;8(16):758-62. doi: 10.6026/97320630008758. Epub 2012 Aug 24. Bioinformation. 2012. PMID: 23055626 Free PMC article.

7

Using recurrence quantification analysis descriptors for protein sequence classification with support vector machines.

Mitra J, Mundra P, Kulkarni BD, Jayaraman VK. Mitra J, et al. Among authors: jayaraman vk. J Biomol Struct Dyn. 2007 Dec;25(3):289-98. doi: 10.1080/07391102.2007.10507177. J Biomol Struct Dyn. 2007. PMID: 17937490

8

Identification of ligand binding pockets on nuclear receptors by machine learning methods.

Oak N, Jayaraman VK. Oak N, et al. Among authors: jayaraman vk. Protein Pept Lett. 2014;21(8):808-14. doi: 10.2174/09298665113209990061. Protein Pept Lett. 2014. PMID: 23855664

9

Identification of Penicillin-binding proteins employing support vector machines and random forest.

Nair V, Dutta M, Manian SS, S RK, Jayaraman VK. Nair V, et al. Among authors: jayaraman vk. Bioinformation. 2013 May 25;9(9):481-4. doi: 10.6026/97320630009481. Print 2013. Bioinformation. 2013. PMID: 23847404 Free PMC article.

10

Hybrid biogeography based simultaneous feature selection and MHC class I peptide binding prediction using support vector machines and random forests.

Srivastava A, Ghosh S, Anantharaman N, Jayaraman VK. Srivastava A, et al. Among authors: jayaraman vk. J Immunol Methods. 2013 Jan 31;387(1-2):284-92. doi: 10.1016/j.jim.2012.09.013. Epub 2012 Oct 9. J Immunol Methods. 2013. PMID: 23058675

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