Below are our main area of research interest
Our lab recent news!
[Nov-19-2024] Our paper entitled "Leveraging deep transfer learning and explainable AI for accurate COVID-19 diagnosis: Insights from a multi-national chest CT scan study" has been accepted in the Computers in Biology and Medicine journal. (JCR: 2 [TOP 3.03%]; IF: 7.0)
[Nov-02-2024] Our paper entitled "MST-m6A: A Novel Multi-Scale Transformer-based Framework for Accurate Prediction of m6A Modification Sites Across Diverse Cellular Contexts" has been accepted in the Journal of Molecular Biology. (IF: 4.7)
[Oct-15-2024] Our paper entitled "mHPpred: Accurate identification of peptide hormones using multi-view feature learning" has been accepted in the Computers in Biology and Medicine journal. (JCR: 2 [TOP 3.03%]; IF: 7.0)
[Sep-02-2024] Kang Da Hyun has joined the lab as a graduate student. Welcome!!!
[Sep-01-2024] Prof. Balachandran has been promoted to Associate Professor (early promotion). Congratulations!!!
[Aug-27-2024] Nguyen Doan Hieu Nguyen has joined the lab as a graduate student. Welcome!!!
[Aug-27-2024] Duong Thanh Tran has joined the lab as a graduate student. Welcome!!!
[Jul-24-2024] Prof. Balachandran Manavalan is now guest editing a special issue in the BMC Genomics & Informatics journal focusing on "Advancing sequence-based biological function prediction using artificial intelligence". If anyone interested, please contact Prof. Balachandran.
[Jul-20-2024] Our collaborative paper entitled "M3S-ALG: Improved and robust prediction of allergenicity of chemical compounds by using a novel multi-step stacking strategy" has been accepted in the Future Generation Computer Systems journal. (JCR: 14 [TOP 9.8%]; IF: 6.2)
[Jul-06-2024] Our paper entitled "HOTGpred: Enhancing human O-linked threonine glycosylation prediction using integrated pretrained protein language model-based features and multi-stage feature selection approach" has been accepted in the Computers in Biology and Medicine journal. (JCR: 2 [TOP 3.1%]; IF: 7.0)
[Jun-20-2024] Our paper entitled "mACPpred 2.0: Stacked deep learning for anticancer peptide prediction with integrated spatial and probabilistic feature representations" has been accepted in the Journal of Molecular Biology. (IF: 4.7)
[Jun-09-2024] Our collaborative paper entitled "SEP-AlgPro: An efficient allergen prediction tool utilizing traditional machine learning and deep learning techniques with protein language model features" has been accepted in the International Journal of Biological Macromolecules. (JCR: 5 [TOP 5.8%]; IF: 8.2)
[May-29-2024] Our collaborative paper entitled "Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA" has been accepted in the PloS ONE journal. (IF: 2.9)
[May-19-2024] Our collaborative paper entitled "APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features" has been accepted in the Methods journal. (IF: 4.8)
[May-17-2024] Prof. Balachandran Manavalan received 중견연구(유형1) from the National Research Foundation of Korea. Congratulations!!!
[May-06-2024] Our collaborative paper entitled "MLm5C: A high-precision human RNA 5-methylcytosine sites predictor based on a combination of hybrid machine learning models" has been accepted in the Methods journal. (IF: 4.8)
[Apr-30-2024] Our collaborative paper entitled "Computational prediction of phosphorylation sites of SARS-CoV-2 infection using feature fusion and optimization strategies" has been accepted in the Methods journal. (IF: 4.8)
[Apr-18-2024] Our paper entitled "ac4C-AFL: A high-precision identification of human mRNA N4-acetylcytidine sites based on adaptive feature representation learning" has been accepted in the Molecular Therapy-Nucleic Acids journal. (IF: 8.8)
[Apr-15-2024] Prof. Balachandran Manavalan is now guest editing a special issue in the BMC Biology journal (IF: 5.4) focusing on "Computational inference of protein conformations and interactions". The submission deadline is Jan 15, 2025. If anyone interested, please contact Prof. Balachandran.
[Mar-17-2024] Prof. Balachandran Manavalan 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 Manavalan.
[Feb-25-2024] Our collaborative 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 collaborative 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 Manavalan 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 Manavalan.
[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 collaborative 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 Manavalan 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 Manavalan.
[Sep-18-2023] Prof. Balachandran Manavalan 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 collaborative 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 Manavalan 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 collaborative 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 collaborative 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 Manavalan.
[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 Manavalan 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 Manavalan 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 (2021); IF: 12.910)