Balachandran Manavalan

Publication Activity (10 Years)

Years Active: 2015-2025
Publications (10 Years): 37

Top Topics

Subcellular Localization

Machine Learning

Protein Folding

Feature Representations

Top Venues

Briefings Bioinform.

Comput. Biol. Medicine

Publications

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 (2025)
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 (2024)
Hong Ju, Yanyan Cui, Qiaosen Su, Liran Juan, Balachandran Manavalan
CODENET: A deep learning model for COVID-19 detection. Comput. Biol. Medicine 171 (2024)
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 (2024)
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 (2024)
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)
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 (2023)
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)
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)
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 (2023)
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 (2023)
Kesavan 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 (2023)
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 (2023)
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 (2023)
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 (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. Bioinform. 39 (5) (2023)
Diponkor Bala, M. 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 (2023)
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 (2022)
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)
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) (2022)
Balachandran Manavalan, Jooyoung Lee
FRTpred: A novel approach for accurate prediction of protein folding rate and type. Comput. Biol. Medicine 149 (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 Bioinform. 23 (4) (2022)
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)
Shaherin Basith, Gwang Lee, Balachandran Manavalan
STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction. Briefings Bioinform. 23 (1) (2022)
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)
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 (2022)
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)
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)
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)
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)
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) (2021)
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)
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) (2020)
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) (2020)
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) (2019)
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) (2019)
Balachandran Manavalan, Jooyoung Lee
SVMQA: support-vector-machine-based protein single-model quality assessment. Bioinform. 33 (16) (2017)
Balachandran Manavalan, Kunihiro Kuwajima, InSuk Joung, Jooyoung Lee
Structure-based protein folding type classification and folding rate prediction. BIBM (2015)