Balachandran Manavalan

According to our database, Balachandran Manavalan authored at least 20 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

FRTpred: A novel approach for accurate prediction of protein folding rate and type.

Balachandran Manavalan, Jooyoung Lee

Comput. Biol. Medicine, 2022

SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins.

Phasit Charoenkwan, Nalini Schaduangrat, Mohammad Ali Moni, Pietro Lio', Balachandran Manavalan, Watshara Shoombuatong

Comput. Biol. Medicine, 2022

Comparative analysis of machine learning-based approaches for identifying therapeutic peptides targeting SARS-CoV-2.

Balachandran Manavalan, Shaherin Basith, Gwang Lee

Briefings Bioinform., 2022

iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model.

Hiroyuki Kurata, Sho Tsukiyama, Balachandran Manavalan

Briefings Bioinform., 2022

TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization.

Young-Jun Jeon, Md. Mehedi Hasan, Hyun Woo Park, Ki Wook Lee, Balachandran Manavalan

Briefings Bioinform., 2022

Accelerating bioactive peptide discovery via mutual information-based meta-learning.

Wenjia He, Yi Jiang, Junru Jin, Zhongshen Li, Jiaojiao Zhao, Balachandran Manavalan, Ran Su, Xin Gao, Leyi Wei

Briefings Bioinform., 2022

STALLION: a stacking-based ensemble learning framework for prokaryotic lysine acetylation site prediction.

Shaherin Basith, Gwang Lee, Balachandran Manavalan

Briefings Bioinform., 2022

2021

BERT4Bitter: a bidirectional encoder representations from transformers (BERT)-based model for improving the prediction of bitter peptides.

Phasit Charoenkwan, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong

Bioinform., 2021

Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework.

Leyi Wei, Wenjia He, Adeel Malik, Ran Su, Lizhen Cui, Balachandran Manavalan

Briefings Bioinform., 2021

Meta-i6mA: an interspecies predictor for identifying DNA N6-methyladenine sites of plant genomes by exploiting informative features in an integrative machine-learning framework.

Md. Mehedi Hasan, Shaherin Basith, Mst. Shamima Khatun, Gwang Lee, Balachandran Manavalan, Hiroyuki Kurata

Briefings Bioinform., 2021

StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.

Phasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, Md. Mehedi Hasan, Balachandran Manavalan, Watshara Shoombuatong

Briefings Bioinform., 2021

Integrative machine learning framework for the identification of cell-specific enhancers from the human genome.

Shaherin Basith, Md. Mehedi Hasan, Gwang Lee, Leyi Wei, Balachandran Manavalan

Briefings Bioinform., 2021

NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning.

Md. Mehedi Hasan, Md. Ashad Alam, Watshara Shoombuatong, Hong-Wen Deng, Balachandran Manavalan, Hiroyuki Kurata

Briefings Bioinform., 2021

2020

HLPpred-Fuse: improved and robust prediction of hemolytic peptide and its activity by fusing multiple feature representation.

Md. Mehedi Hasan, Nalini Schaduangrat, Shaherin Basith, Gwang Lee, Watshara Shoombuatong, Balachandran Manavalan

Bioinform., 2020

Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools.

Ran Su, Jie Hu, Quan Zou, Balachandran Manavalan, Leyi Wei

Briefings Bioinform., 2020

2019

Protein-Carbohydrate Interactions.

Adeel Malik, Mohammad H. Baig, Balachandran Manavalan

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 3, 2019

Iterative feature representations improve N4-methylcytosine site prediction.

Leyi Wei, Ran Su, Shasha Luan, Zhijun Liao, Balachandran Manavalan, Quan Zou, Xiaolong Shi

Bioinform., 2019

mAHTPred: a sequence-based meta-predictor for improving the prediction of anti-hypertensive peptides using effective feature representation.

Balachandran Manavalan, Shaherin Basith, Tae Hwan Shin, Leyi Wei, Gwang Lee

Bioinform., 2019

2017

SVMQA: support-vector-machine-based protein single-model quality assessment.

Balachandran Manavalan, Jooyoung Lee

Bioinform., 2017

2015

Structure-based protein folding type classification and folding rate prediction.

Balachandran Manavalan, Kunihiro Kuwajima, InSuk Joung, Jooyoung Lee

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015