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Balachandran Manavalan
Balachandran Manavalan
Assistant Professor, Department of Integrative Biotechnology, Sungkyunkwan University
Verified email at skku.edu - Homepage
Title
Cited by
Cited by
Year
Roles of toll-like receptors in cancer: a double-edged sword for defense and offense
S Basith, B Manavalan, TH Yoo, SG Kim, S Choi
Archives of pharmacal research 35, 1297-1316, 2012
2522012
Machine intelligence in peptide therapeutics: A next‐generation tool for rapid disease screening
S Basith, B Manavalan, T Hwan Shin, G Lee
Medicinal research reviews 40 (4), 1276-1314, 2020
2192020
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Bioinformatics 35 (16), 2757-2765, 2019
2062019
MLACP: machine-learning-based prediction of anticancer peptides
B Manavalan, S Basith, TH Shin, S Choi, MO Kim, G Lee
Oncotarget 8 (44), 77121, 2017
1992017
Meta-4mCpred: a sequence-based meta-predictor for accurate DNA 4mC site prediction using effective feature representation
B Manavalan, S Basith, TH Shin, L Wei, G Lee
Molecular Therapy-Nucleic Acids 16, 733-744, 2019
1972019
Machine-learning-based prediction of cell-penetrating peptides and their uptake efficiency with improved accuracy
B Manavalan, S Subramaniyam, TH Shin, MO Kim, G Lee
Journal of proteome research 17 (8), 2715-2726, 2018
1702018
PVP-SVM: sequence-based prediction of phage virion proteins using a support vector machine
B Manavalan, TH Shin, G Lee
Frontiers in microbiology 9, 338653, 2018
1682018
AIPpred: sequence-based prediction of anti-inflammatory peptides using random forest
B Manavalan, TH Shin, MO Kim, G Lee
Frontiers in pharmacology 9, 348997, 2018
1642018
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation
MM Hasan, N Schaduangrat, S Basith, G Lee, W Shoombuatong, ...
Bioinformatics 36 (11), 3350-3356, 2020
1592020
iBCE-EL: a new ensemble learning framework for improved linear B-cell epitope prediction
B Manavalan, RG Govindaraj, TH Shin, MO Kim, G Lee
Frontiers in immunology 9, 388500, 2018
1562018
mACPpred: a support vector machine-based meta-predictor for identification of anticancer peptides
V Boopathi, S Subramaniyam, A Malik, G Lee, B Manavalan, DC Yang
International journal of molecular sciences 20 (8), 1964, 2019
1502019
Toll-like receptor modulators: a patent review (2006–2010)
S Basith, B Manavalan, G Lee, SG Kim, S Choi
Expert opinion on therapeutic patents 21 (6), 927-944, 2011
1422011
SVMQA: support–vector-machine-based protein single-model quality assessment
B Manavalan, J Lee
Bioinformatics 33 (16), 2496-2503, 2017
1412017
SDM6A: a web-based integrative machine-learning framework for predicting 6mA sites in the rice genome
S Basith, B Manavalan, TH Shin, G Lee
Molecular Therapy-Nucleic Acids 18, 131-141, 2019
1392019
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
R Su, J Hu, Q Zou, B Manavalan, L Wei
Briefings in bioinformatics 21 (2), 408-420, 2020
1322020
Iterative feature representations improve N4-methylcytosine site prediction
L Wei, R Su, S Luan, Z Liao, B Manavalan, Q Zou, X Shi
Bioinformatics 35 (23), 4930-4937, 2019
1232019
Similar structures but different roles–an updated perspective on TLR structures
B Manavalan, S Basith, S Choi
Frontiers in physiology 2, 11357, 2011
1232011
Molecular modeling-based evaluation of hTLR10 and identification of potential ligands in Toll-like receptor signaling
RG Govindaraj, B Manavalan, G Lee, S Choi
PloS one 5 (9), e12713, 2010
1142010
iGHBP: computational identification of growth hormone binding proteins from sequences using extremely randomised tree
S Basith, B Manavalan, TH Shin, G Lee
Computational and structural biotechnology journal 16, 412-420, 2018
1072018
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine …
MM Hasan, S Basith, MS Khatun, G Lee, B Manavalan, H Kurata
Briefings in Bioinformatics 22 (3), bbaa202, 2021
1032021
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