Balachandran Manavalan

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 24

Top Venues

Briefings in bioinformatics

Bioinformatics (Oxford, England)

Briefings in functional genomics

Medicinal research reviews

Ajou University (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Ajou University Sep 03 2007 - Aug 30 2011

South Korea

PHD :: Department of molecular science and technology

Publications

Nhat Truong Pham, Rajan Rakkiyapan, Jongsun Park, Adeel Malik, Balachandran Manavalan
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA. Briefings in bioinformatics 25 (1) (2024)
Nhat Truong Pham, Rajan Rakkiyapan, Jongsun Park, Adeel Malik, Balachandran Manavalan
H2Opred: a robust and efficient hybrid deep learning model for predicting 2'-O-methylation sites in human RNA. Briefings in bioinformatics 25 (1) (2024)
Kijin Kim, Kyungmin Park, Seonghyeon Lee, Seung-Hwan Baek, Tae-Hun Lim, Jongwoo Kim, Balachandran Manavalan, Jin-Won Song, Won-Keun Kim
VirPipe: an easy-to-use and customizable pipeline for detecting viral genomes from Nanopore sequencing. Bioinformatics (Oxford, England) 39 (5) (2023)
Nhat Truong Pham, Le Thi Phan, Jimin Seo, Yeonwoo Kim, Minkyung Song, Sukchan Lee, Young-Jun Jeon, Balachandran Manavalan
Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach. Briefings in bioinformatics 25 (1) (2023)
Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Le-Yi Wei
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings in bioinformatics 24 (1) (2023)
Kijin Kim, Kyungmin Park, Seonghyeon Lee, Seung-Hwan Baek, Tae-Hun Lim, Jongwoo Kim, Balachandran Manavalan, Jin-Won Song, Won-Keun Kim
VirPipe: an easy-to-use and customizable pipeline for detecting viral genomes from Nanopore sequencing. Bioinformatics (Oxford, England) 39 (5) (2023)
Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Le-Yi Wei
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings in bioinformatics 24 (1) (2023)
Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model. Briefings in bioinformatics 23 (4) (2022)
Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids. Pharmaceutics 14 (1) (2022)
Young-Jun Jeon, Md Mehedi Hasan, Hyun Woo Park, Ki Wook Lee, Balachandran Manavalan
TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization. Briefings in bioinformatics 23 (4) (2022)
Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Le-Yi Wei
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings in bioinformatics (2022)
Shaherin Basith, Md Mehedi Hasan, Gwang Lee, Le-Yi Wei, Balachandran Manavalan
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings in bioinformatics 22 (6) (2022)
Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Le-Yi Wei
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings in bioinformatics (2021)
Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Gwang Lee
Computational prediction of species-specific yeast DNA replication origin via iterative feature representation. Briefings in bioinformatics 22 (4) (2021)
Balachandran Manavalan, Shaherin Basith, Gwang Lee
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2. Briefings in bioinformatics (2021)
Shaherin Basith, Gwang Lee, Balachandran Manavalan
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. Briefings in bioinformatics (2021)
Phasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong
UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning. International journal of molecular sciences 22 (23) (2021)
Md Mehedi Hasan, Watshara Shoombuatong, Hiroyuki Kurata, Balachandran Manavalan
Critical evaluation of web-based DNA N6-methyladenine site prediction tools. Briefings in functional genomics 20 (4) (2021)
Md Mehedi Hasan, Shaherin Basith, Mst Shamima Khatun, Gwang Lee, Balachandran Manavalan, Hiroyuki Kurata
Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework. Briefings in bioinformatics 22 (3) (2021)
Le-Yi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan
Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings in bioinformatics 22 (4) (2021)
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Mapping the Intramolecular Communications among Different Glutamate Dehydrogenase States Using Molecular Dynamics. Biomolecules 11 (6) (2021)
Tae Hwan Shin, Da Yeon Lee, Shaherin Basith, Balachandran Manavalan, Man Jeong Paik, Igor Rybinnik, M Maral Mouradian, Jung Hwan Ahn, Gwang Lee
Metabolome Changes in Cerebral Ischemia. Cells 9 (7) (2020)
Shaherin Basith, Balachandran Manavalan, Tae Hwan Shin, Gwang Lee
Machine intelligence in peptide therapeutics: A next-generation tool for rapid disease screening. Medicinal research reviews 40 (4) (2020)
Balachandran Manavalan, Sathiyamoorthy Subramaniyam, Tae Hwan Shin, Myeong Ok Kim, Gwang Lee
Machine-Learning-Based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency with Improved Accuracy. Journal of proteome research 17 (8) (2018)

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Publication Activity (10 Years)

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Balachandran Manavalan