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Balachandran Manavalan

Showing results (11-20 of 124) with videos related to

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Briefings in Bioinformatics|October 1, 2021
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2Balachandran Manavalan, Shaherin Basith, Gwang Lee
Scientific Reports|February 9, 2019
PFDB: A standardized protein folding database with temperature correctionBalachandran Manavalan, Kunihiro Kuwajima, Jooyoung Lee
Plos One|September 16, 2014
Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy termsBalachandran Manavalan, Juyong Lee, Jooyoung Lee
Frontiers in Microbiology|April 5, 2018
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector MachineBalachandran Manavalan, Tae H Shin, Gwang Lee
Current Genomics|July 14, 2020
Extremely-randomized-tree-based Prediction of N<sup>6</sup>-Methyladenosine Sites in <i>Saccharomyces cerevisiae</i>Rajiv G Govindaraj, Sathiyamoorthy Subramaniyam, Balachandran Manavalan
Computers in Biology and Medicine|February 6, 2025
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare datasetLe Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Oncotarget|February 9, 2018
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forestBalachandran Manavalan, Tae Hwan Shin, Gwang Lee
Plos One|February 2, 2013
Evolutionary, structural and functional interplay of the IκB family membersShaherin Basith, Balachandran Manavalan, Vijayakumar Gosu, et al.
Journal of Molecular Recognition : JMR|April 8, 2011
Molecular modeling-based evaluation of dual function of IκBζ ankyrin repeat domain in toll-like receptor signalingBalachandran Manavalan, Rajivgandhi Govindaraj, Gwang Lee, et al.
Plos One|September 30, 2010
Molecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signalingRajiv Gandhi Govindaraj, Balachandran Manavalan, Gwang Lee, et al.
Pageof 13

Showing results (11-20 of 124) with videos related to

Sort By:
Pageof 13
Briefings in Bioinformatics|October 1, 2021
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2Balachandran Manavalan, Shaherin Basith, Gwang Lee
Scientific Reports|February 9, 2019
PFDB: A standardized protein folding database with temperature correctionBalachandran Manavalan, Kunihiro Kuwajima, Jooyoung Lee
Plos One|September 16, 2014
Random forest-based protein model quality assessment (RFMQA) using structural features and potential energy termsBalachandran Manavalan, Juyong Lee, Jooyoung Lee
Frontiers in Microbiology|April 5, 2018
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector MachineBalachandran Manavalan, Tae H Shin, Gwang Lee
Current Genomics|July 14, 2020
Extremely-randomized-tree-based Prediction of N<sup>6</sup>-Methyladenosine Sites in <i>Saccharomyces cerevisiae</i>Rajiv G Govindaraj, Sathiyamoorthy Subramaniyam, Balachandran Manavalan
Computers in Biology and Medicine|February 6, 2025
REMED-T2D: A robust ensemble learning model for early detection of type 2 diabetes using healthcare datasetLe Thi Phan, Rajan Rakkiyappan, Balachandran Manavalan
Oncotarget|February 9, 2018
DHSpred: support-vector-machine-based human DNase I hypersensitive sites prediction using the optimal features selected by random forestBalachandran Manavalan, Tae Hwan Shin, Gwang Lee
Plos One|February 2, 2013
Evolutionary, structural and functional interplay of the IκB family membersShaherin Basith, Balachandran Manavalan, Vijayakumar Gosu, et al.
Journal of Molecular Recognition : JMR|April 8, 2011
Molecular modeling-based evaluation of dual function of IκBζ ankyrin repeat domain in toll-like receptor signalingBalachandran Manavalan, Rajivgandhi Govindaraj, Gwang Lee, et al.
Plos One|September 30, 2010
Molecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signalingRajiv Gandhi Govindaraj, Balachandran Manavalan, Gwang Lee, et al.
Pageof 13