Our Research

Below are our main area of research interest

  • Prediction of DNA regulatory elements such as nucleosome, origin of replications, transcription start sites and promoter.
  • Designing computational methods to predict post-transcriptional (RNA) modification sites, RNA subcellular localization, and RNA splicing.
  • Designing computational methods to predict post-replication (DNA) modification sites.
  • Developing machine learning and deep learning methods to identify protein function and type.
  • Developing machine learning and deep learning methods to identify peptide therapeutic function.
  • Simulation of biomolecular systems.

News

Our lab recent news!

  • [Mar-17-2024] Prof. Balachandran is now guest editing a special issue in the Future Generation Computer Systems journal (IF: 7.5) focusing on "Explainable Artificial Intelligence in Drug Discovery and Development". The submission deadline is Dec 15, 2024. If anyone interested, please contact Prof. Balachandran.

  • [Mar-12-2024] Our Research Story (KOR/ENG) regarding the recently published papers in the Briefings in Bioinformatics journal has been highlighted on SKKU’s Research Stories (KOR/ENG). Congratulations!!!

  • [Feb-25-2024] Our paper entitled "CODENET: A deep learning model for COVID-19 detection" has been accepted in the Computers in Biology and Medicine journal. (JCR: 4 [TOP 10%]; IF: 7.7)

  • [Feb-16-2024] Our paper entitled "CFCN: An HLA-peptide Prediction Model based on Taylor Extension Theory and Multi-view Learning" has been published in the Current Bioinformatics journal (IF: 4.0)

  • [Jan-10-2024] Prof. Balachandran is now guest editing a special issue in the Mathematical Biosciences and Engineering journal (IF: 2.6) focusing on "Machine learning in molecular biology and biomedical applications". The submission deadline is August 31, 2024. If anyone interested, please contact Prof. Balachandran.

  • [Dec-15-2023] Nhat Truong Pham's Hanbitsa Interview regarding the recently published paper in the Briefings in Bioinformatics journal has been shared on the Biological Research Informatics Center (BRIC).

  • [Dec-11-2023] Our paper entitled "Stack-DHUpred: Advancing the accuracy of dihydrouridine modification sites detection via stacking approach" has been accepted in the Computers in Biology and Medicine journal. (JCR: 4 [TOP 10%]; IF: 7.7)

  • [Nov-28-2023] Our paper entitled "H2Opred: A Robust and Efficient Hybrid Deep Learning Model for Predicting 2'-O-Methylation Sites in Human RNA" has been accepted in the Briefings in Bioinformatics journal. (JCR: 3 [TOP 5%]; IF: 9.5)

  • [Nov-05-2023] Our paper entitled "Advancing the Accuracy of SARS-CoV-2 Phosphorylation Site Detection via Meta-Learning Approach" has been accepted in the Briefings in Bioinformatics journal. (JCR: 3 [TOP 5%]; IF: 9.5)

  • [Nov-01-2023] Prof. Balachandran is now guest editing a special issue in the IET Systems Biology journal (IF: 2.3) focusing on "Cancer Biomarker Identification with Computational Intelligence". The submission deadline is May 01, 2024. If anyone interested, please contact Prof. Balachandran.

  • [Sep-18-2023] Prof. Balachandran was appointed as an Associate Editor of the Heliyon Bioinformatics and Computational Biology, a section of Heliyon journal. Congratulations!!!

  • [Sep-04-2023] Nayan Dash has joined the lab as a graduate student. Welcome!!!

  • [Aug-28-2023] Qiaosen Su has joined the lab as a graduate student. Welcome!!!

  • [Aug-14-2023] Our paper entitled "ADP-Fuse: A novel two-layer machine learning predictor to identify antidiabetic peptides and diabetes types using multiview information" has been accepted in the Computers in Biology and Medicine journal. (JCR: 4 [TOP 10%]; IF: 7.7)

  • [Jul-20-2023] Prof. Balachandran was appointed as an Associate Editor of the Medinformatics journal. Congratulations!!!

  • [May-15-2023] Our collaborative paper entitled "Ensemble Feature Selection using Bonferroni, OWA and Induced OWA aggregation operators" has been accepted in the Applied Soft Computing journal. (JCR: 11 [TOP 10%]; IF: 8.263)

  • [Mar-27-2023] Our paper entitled "A comprehensive revisit of the machine-learning tools developed for the identification of enhancers in the human genome" has been accepted in the Proteomics journal. (IF: 5.393)

  • [Mar-25-2023] Our paper entitled "Pretoria: An effective computational approach for accurate and high-throughput identification of CD8+ t-cell epitopes of eukaryotic pathogens" has been accepted in the International Journal of Biological Macromolecules. (JCR: 6; IF: 8.025)

  • [Mar-21-2023] Kang Da Hyun has joined the lab as an undergraduate student. Welcome!!!

  • [Mar-14-2023] Our paper entitled "PSRQSP: An effective approach for the interpretable prediction of quorum sensing peptide using propensity score representation learning" has been published in the Computers in Biology and Medicine journal. (JCR: 6; IF: 6.698)

  • [Mar-08-2023] Our paper entitled "How well does a data-driven prediction method distinguish dihydrouridine from tRNA and mRNA?" has been published in the Molecular Therapy-Nucleic Acids journal. (IF: 10.183)

  • [Feb-25-2023] Nhat Truong Pham has joined the lab as a graduate student. Welcome!!!

  • [Feb-23-2023] Annie Terrina Terrance has joined the lab as a graduate student. Welcome!!!

  • [Feb-15-2023] Our paper entitled "Computational prediction of protein folding rate using structural parameters and network centrality measures" has been published in the Computers in Biology and Medicine journal. (JCR: 6; IF: 6.698)

  • [Feb-10-2023] Our paper entitled "PRR-HyPred: A two-layer hybrid framework to predict pattern recognition receptors and their families by employing sequence encoded optimal features" has been published in the International Journal of Biological Macromolecules. (JCR: 6; IF: 8.025)

  • [Jan-17-2023] Prof.Balachandran was appointed as the Editorial Board Member of the Current Bioinformatics journal. Congratulations!!!

  • [Jan-13-2023] Prof.Balachandran is now guest editing a special issue in the Frontiers in Bioscience-Landmark journal (IF: 3.115) focusing on "New Insights into Computational Medicine and Bioinformatics Research". The submission deadline is September 30, 2023. If anyone interested, please contact Prof. Balachandran.

  • [Dec-29-2022] Our paper entitled "GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features" has been accepted in the International Journal of Biological Macromolecules. (JCR: 6; IF: 8.025)

  • [Dec-21-2022] Topic Editor in the Frontiers in Immunology journal (IF: 8.786) focusing on "Overcoming Challenges in Vaccines and Molecular Therapeutics: 2022".

  • [Nov-11-2022] Our paper entitled "SiameseCPP: A sequence-based siamese network to predict cell-penetrating peptides by contrastive learning." has been published in the Briefings in Bioinformatics journal. (JCR: 1; IF: 13.994)

  • [Nov-07-2022] Our paper entitled "An effective integrated machine learning framework for identifying severity of tomato yellow leaf curl virus and their experimental validation" has been published in the Research journal. (JCR: 10; IF: 11.036)

  • [Oct-11-2022] Prof. Balachandran has been selected as one of the World's Top 2% highly cited researchers in 2022 ( Stanford data and SKKU Department of Integrative Biotechnology's News). Congratulations!!!

  • [Jul-29-2022] Our lab's recent published work has been highlighted in SKKU's Research Stories. Congratulations!!!

  • [Jul-01-2022] Our paper entitled "iACVP: markedly enhanced identification of anti-coronavirus peptides using a dataset-specific word2vec model" has been published in the Briefings in Bioinformatics journal. (JCR= 1; IF: 13.994)

  • [Jun-27-2022] Our paper entitled "TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization" has been published in the Briefings in Bioinformatics journal. (JCR: 1; IF: 13.994)

  • [May-05-2022] Prof. Balachandran was appointed as the Editorial Board Member of the iMeta journal. Congratulations!!!

  • [May-03-2022] Our paper entitled "Deepm5C: A deep learning-based hybrid framework for identifying human RNA N5- methylcytosine sites using a stacking strategy" has been accepted for publication in the Molecular Therapy journal. (JCR: 9; IF: 12.910)

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