Balachandran Manavalan

Ajou University School of Medicine

South Korea

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Articles (17)

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2023

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2022

Collaborators (5)

Gwang Lee

Ajou University

SOUTH KOREA

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Young-Jun Jeon

Assistant Professor

Sungkyunkwan University - Natural Sciences Campus

SOUTH KOREA

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Thanh Thi Nguyen

Associate Professor

MONASH UNIVERSITY

AUSTRALIA

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Won-Keun Kim

Assistant Professor

Hallym University College of Medicine

SOUTH KOREA

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Jin-Won Song

SOUTH KOREA

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Balachandran Manavalan

Research Interests

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Articles (17)

M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy

Unveiling local and global conformational changes and allosteric communications in SOD1 systems using molecular dynamics simulation and network analyses

HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach

ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning

CODENET: A deep learning model for COVID-19 detection

Hybrid data augmentation and deep attention-based dilated convolutional-recurrent neural networks for speech emotion recognition

ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information

Ensemble feature selection using Bonferroni, OWA and Induced OWA aggregation operators

Identification of SH2 domain-containing proteins and motifs prediction by a deep learning method

A comprehensive revisit of the machine‐learning tools developed for the identification of enhancers in the human genome

VirPipe: an easy-to-use and customizable pipeline for detecting viral genomes from Nanopore sequencing

PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning

Computational prediction of protein folding rate using structural parameters and network centrality measures

How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA?

Advancing the accuracy of SARS-CoV-2 phosphorylation site detection via meta-learning approach

H2Opred: a robust and efficient hybrid deep learning model for predicting 2’-O-methylation sites in human RNA

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

Collaborators (5)

Gwang Lee

Young-Jun Jeon

Thanh Thi Nguyen

Won-Keun Kim

Jin-Won Song

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