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ORCIDBalachandran Manavalan
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2020 – today
- 2025
[j37]Phasit Charoenkwan, Nalini Schaduangrat, Le Thi Phan, Balachandran Manavalan
, Watshara Shoombuatong:
M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy. Future Gener. Comput. Syst. 162: 107455 (2025)- 2024
- [j36]Shaherin Basith, Balachandran Manavalan, Gwang Lee:
Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses. Comput. Biol. Medicine 168: 107688 (2024) - [j35]Md. Harun-Or-Roshid, Kazuhiro Maeda, Le Thi Phan, Balachandran Manavalan, Hiroyuki Kurata:
Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach. Comput. Biol. Medicine 169: 107848 (2024) - [j34]Hong Ju, Yanyan Cui, Qiaosen Su, Liran Juan, Balachandran Manavalan:
CODENET: A deep learning model for COVID-19 detection. Comput. Biol. Medicine 171: 108229 (2024) - [j33]Nhat Truong Pham, Ying Zhang, Rajan Rakkiyappan, Balachandran Manavalan:
HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach. Comput. Biol. Medicine 179: 108859 (2024) - [j32]Shaherin Basith, Vinoth Kumar Sangaraju, Balachandran Manavalan, Gwang Lee:
mHPpred: Accurate identification of peptide hormones using multi-view feature learning. Comput. Biol. Medicine 183: 109297 (2024) - 2023
- [j31]K. Janani, S. S. Mohanrasu, Chee Peng Lim, Balachandran Manavalan, R. Rakkiyappan:
Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators. Appl. Soft Comput. 143: 110431 (2023) - [j30]Xin Zhang, Lesong Wei, Xiucai Ye, Kai Zhang, Saisai Teng, Zhongshen Li, Junru Jin, Min Jae Kim, Tetsuya Sakurai, Lizhen Cui, Balachandran Manavalan, Leyi Wei:
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24(1) (2023) - [j29]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 Bioinform. 25(1) (2023) - [j28]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. Bioinform. 39(5) (2023) - [j27]Saraswathy Nithiyanandam, Vinoth Kumar Sangaraju, Balachandran Manavalan, Gwang Lee:
Computational prediction of protein folding rate using structural parameters and network centrality measures. Comput. Biol. Medicine 155: 106436 (2023) - [j26]Phasit Charoenkwan, Pramote Chumnanpuen, Nalini Schaduangrat, Changmin Oh, Balachandran Manavalan, Watshara Shoombuatong:
PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning. Comput. Biol. Medicine 158: 106784 (2023) - [j25]Jiayue Hu, Yu Wang, Chao Pang, Junru Jin, Nhat Truong Pham, Balachandran Manavalan, Leyi Wei:
DrugormerDTI: Drug Graphormer for drug-target interaction prediction. Comput. Biol. Medicine 161: 106946 (2023) - [j24]Duanzhi Wu, Xin Fang, Kai Luan, Qijin Xu, Shiqi Lin, Shiying Sun, Jiaying Yang, Bingying Dong, Balachandran Manavalan, Zhijun Liao:
Identification of SH2 domain-containing proteins and motifs prediction by a deep learning method. Comput. Biol. Medicine 162: 107065 (2023) - [j23]Shaherin Basith, Nhat Truong Pham, Minkyung Song, Gwang Lee, Balachandran Manavalan:
ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information. Comput. Biol. Medicine 165: 107386 (2023) - [j22]Nhat Truong Pham, Duc Ngoc Minh Dang, Ngoc Duy Nguyen, Thanh Nguyen, Hai Nguyen, Balachandran Manavalan, Chee Peng Lim, Sy Dzung Nguyen:
Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition. Expert Syst. Appl. 230: 120608 (2023) - [j21]Diponkor Bala, Md Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, Md. Mizanur Rahman, Balachandran Manavalan, Naijie Gu, Mohammad S. Islam, Zhangjin Huang:
MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification. Neural Networks 161: 757-775 (2023) - [c2]Nhat Truong Pham, Le Thi Phan, Duc Ngoc Minh Dang, Balachandran Manavalan:
SER-Fuse: An Emotion Recognition Application Utilizing Multi-Modal, Multi-Lingual, and Multi-Feature Fusion. SoICT 2023: 870-877 - 2022
- [j20]Shaherin Basith, Gwang Lee, Balachandran Manavalan:
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. Briefings Bioinform. 23(1) (2022) - [j19]Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei:
Accelerating bioactive peptide discovery via mutual information-based meta-learning. Briefings Bioinform. 23(1) (2022) - [j18]Balachandran Manavalan, Shaherin Basith, Gwang Lee:
Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2. Briefings Bioinform. 23(1) (2022) - [j17]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 Bioinform. 23(4) (2022) - [j16]Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan:
iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model. Briefings Bioinform. 23(4) (2022) - [j15]Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong:
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins. Comput. Biol. Medicine 146: 105704 (2022) - [j14]Phasit Charoenkwan, Nalini Schaduangrat, Pietro Lio', Mohammad Ali Moni, Balachandran Manavalan, Watshara Shoombuatong:
NEPTUNE: A novel computational approach for accurate and large-scale identification of tumor homing peptides. Comput. Biol. Medicine 148: 105700 (2022) - [j13]Balachandran Manavalan, Jooyoung Lee:
FRTpred: A novel approach for accurate prediction of protein folding rate and type. Comput. Biol. Medicine 149: 105911 (2022) - [j12]Shaherin Basith, Balachandran Manavalan, Gwang Lee:
Amyotrophic lateral sclerosis disease-related mutations disrupt the dimerization of superoxide dismutase 1 - A comparative molecular dynamics simulation study. Comput. Biol. Medicine 151(Part): 106319 (2022) - 2021
- [j11]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 Bioinform. 22(3) (2021) - [j10]Leyi 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 Bioinform. 22(4) (2021) - [j9]Md. Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, Hong-Wen Deng, Balachandran Manavalan, Hiroyuki Kurata:
NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning. Briefings Bioinform. 22(6) (2021) - [j8]Shaherin Basith, Md. Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan:
Integrative machine learning framework for the identification of cell-specific enhancers from the human genome. Briefings Bioinform. 22(6) (2021) - [j7]Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong:
StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides. Briefings Bioinform. 22(6) (2021) - [j6]Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong:
BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides. Bioinform. 37(17): 2556-2562 (2021) - 2020
- [j5]Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei:
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools. Briefings Bioinform. 21(2): 408-420 (2020) - [j4]Md. Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Gwang Lee, Watshara Shoombuatong, Balachandran Manavalan:
HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation. Bioinform. 36(11): 3350-3356 (2020)
2010 – 2019
- 2019
- [j3]Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee:
mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation. Bioinform. 35(16): 2757-2765 (2019) - [j2]Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi:
Iterative feature representations improve N4-methylcytosine site prediction. Bioinform. 35(23): 4930-4937 (2019) - [r1]Adeel Malik, Mohammad H. Baig, Balachandran Manavalan:
Protein-Carbohydrate Interactions. Encyclopedia of Bioinformatics and Computational Biology (3) 2019: 666-677 - 2017
- [j1]Balachandran Manavalan, Jooyoung Lee:
SVMQA: support-vector-machine-based protein single-model quality assessment. Bioinform. 33(16): 2496-2503 (2017) - 2015
- [c1]Balachandran Manavalan, Kunihiro Kuwajima, InSuk Joung, Jooyoung Lee:
Structure-based protein folding type classification and folding rate prediction. BIBM 2015: 1759-1761
Coauthor Index
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