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ORCIDRakesh Kaundal
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2020 – today
- 2022
[j14]Naveen Duhan, Jeanette M. Norton
, Rakesh Kaundal:
deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning. Briefings Bioinform. 23(3) (2022)- [j13]Rakesh Kaundal, Cristian D. Loaiza, Naveen Duhan, Nicholas Flann:
deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host-pathogen protein-protein interactions. Briefings Bioinform. 23(3) (2022) - [j12]Raghav Kataria, Rakesh Kaundal:
TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat - Stem rust host-pathogen interactome. Database J. Biol. Databases Curation 2022(2022) (2022) - 2021
- [j11]Cristian D. Loaiza, Naveen Duhan, Matthew Lister, Rakesh Kaundal:
In silico prediction of host-pathogen protein interactions in melioidosis pathogen Burkholderia pseudomallei and human reveals novel virulence factors and their targets. Briefings Bioinform. 22(3) (2021) - [j10]Cristian D. Loaiza, Rakesh Kaundal:
PredHPI: an integrated web server platform for the detection and visualization of host-pathogen interactions using sequence-based methods. Bioinform. 37(5): 622-624 (2021)
2010 – 2019
- 2016
- [j9]Jonathan D. Wren, Inimary T. Toby, Huxiao Hong, Bindu Nanduri, Rakesh Kaundal, Mikhail G. Dozmorov, Shraddha Thakkar:
Proceedings of the 2016 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 17(S-13): 356 (2016) - 2014
- [j8]Jonathan D. Wren, Mikhail G. Dozmorov, Dennis Burian, Andy D. Perkins, Chaoyang Zhang, Peter Hoyt, Rakesh Kaundal:
Proceedings of the 2014 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 15(S-11): I1 (2014) - [j7]Sitanshu S. Sahu, Tyler Weirick, Rakesh Kaundal:
Predicting genome-scale Arabidopsis-Pseudomonas syringae interactome using domain and interolog-based approaches. BMC Bioinform. 15(S-11): S13 (2014) - [j6]Tyler Weirick, Sitanshu S. Sahu, Ramamurthy Mahalingam, Rakesh Kaundal:
LacSubPred: predicting subtypes of Laccases, an important lignin metabolism-related enzyme class, using in silico approaches. BMC Bioinform. 15(S-11): S15 (2014) - 2013
- [j5]Jonathan D. Wren, Mikhail G. Dozmorov, Dennis Burian, Rakesh Kaundal, Andy D. Perkins, Edward J. Perkins, Doris M. Kupfer, Gordon K. Springer:
Proceedings of the 2013 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 14(S-14): S1 (2013) - [j4]Rakesh Kaundal, Sitanshu S. Sahu, Ruchi Verma, Tyler Weirick:
Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning. BMC Bioinform. 14(S-14): S7 (2013) - [j3]Firoz Ahmed, Rakesh Kaundal, Gajendra P. S. Raghava:
PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors. BMC Bioinform. 14(S-14): S9 (2013) - 2012
- [j2]Jonathan D. Wren, Mikhail G. Dozmorov, Dennis Burian, Rakesh Kaundal, Susan Bridges, Doris M. Kupfer:
Proceedings of the 2012 MidSouth computational biology and bioinformatics society (MCBIOS) conference. BMC Bioinform. 13(S-15): S1 (2012)
2000 – 2009
- 2006
- [j1]Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Raghava:
Machine learning techniques in disease forecasting: a case study on rice blast prediction. BMC Bioinform. 7: 485 (2006)
Coauthor Index
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