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 method to predict post-transcriptional (RNA) modification sites, RNA subcellular localization and RNA splicing.
  • Designing computational method to predict post-replication (DNA) modification sites.
  • Developing machine learning methods to identify protein function and type.
  • Developing machine learning methods to identify peptide therapeutic function.
  • Simulation of biomolecular systems.

Tools / Web servers

DNA-based programs

TACOS

Prediction of cell-specific localization of human lncRNA

DHSpred

Prediction of Dnase I hypersensitive sites

Meta-4mCpred

Prediction of DNA 4mC sites from Multiple species

4mCpred-EL

DNA N4-methylcytosine sites for Mouse

4mcPred-IFL

Prediction of DNA N4-methylcytosine sites from multiple species

SDM6A

Prediction of DNA N6–methyladenine sites in the Rice genome

i4mC-Mouse

Prediction of DNA N4-methylcytosine sites in the mouse genome

i6mA-Fuse

Prediction of DNA N6-methyladenine sites in the Rosaceae genome

i4mC-ROSE

Prediction of DNA N4-methyladenine sites in the Rosaceae genome

Meta-i6mA

Interspecies predictor for identifying DNA N6-methyladeneine sites from plant genomes

StackIL6

IL-6 inducing peptides predictor

Stack-ORI

Prediction of cell-specific replication origin site from multiple eukaryotes

yORIpred

Prediction of DNA replication origin from yeast species

ENHANCER-IF

Identification of cell-specific enhancers from human genome

Peptide-based programs

MLACP2.0

Anticancer peptide predictor

MLCCP2.0

Cell-penetrating-peptide predictor

MLACP

Anticancer peptides predictor

AIPpred

Anti-inflammatory peptides predictor

MLCPP

cell-penetrating-peptides predictor

iBCE-EL

Linear B-Cell epitopes predictor

PIP-EL

Proinflammatory peptides predictor

mACPpred

Anticancer peptides predictor

AtbPpred

Anti-tubercular peptides predictor

mAHTPred

Anti-hypertensive peptides predictor

HLPpred-Fuse

Hemolytic peptide predictor

BERT4Bitter

Bitter peptides predictors

NeuroPred-FRL

Neuropeptide predictor

Protein-based programs

SVMQA

Protein single-model quality assessment standalone version

PVP-SVM

Phage virion proteins predictor

iGHBP

Growth hormone-binding proteins predictor

PreSNO

Prediction of S-nitrosylation sites

PFDB

Standardized protein folding database with temperature correction

STALLION

Prediction of prokaryotic lysine acetylation sites

Featured Publications

Below are a selection of our recent publications in top-tier academic journals.

Funding

. . .

National Research Foundation of Korea [Consolidator grant (Type 1)] (2021~)

Team

. . .

Balachandran Manavalan, Ph. D.

Assistant Professor

 

 

 

Balachandran Manavalan

Personal Details

Educational Background

  • Ph.D. in Computational biology [2007 – 2011]

    Ajou University, Suwon, South Korea

    Advisor: Sangdun Choi

  • M.S. in Bioinformatics [2004 – 2006]

    University of Madras, Chennai, India

    Advisor: Niranjali Devaraj

  • B.S. in Biochemistry [2000 – 2003]

    University of Madras, Chennai, India

Research Career

  • Assistant Professor [March 2022 – to date]

    Department of Integrative Biotechnology, College of Biotechnology & Bioengineering, Sungkyunkwan University

  • Assistant Professor (Research) [March 2021 – Feb 2022]

    Department of Physiology, Ajou University School of Medicine

  • Research Professor [Jan 2018 – Feb 2021]

    Department of Physiology, Ajou University School of Medicine

  • Research Fellow [Mar 2017 – Dec 2017]

    Department of Physiology, Ajou University School of Medicine

  • Research Fellow [Nov 2011 – Feb 2017]

    School of Computational Sciences, Korea Institute for Advanced Study

  • Postdoctoral Fellow [Sep 2011 – Oct 2011]

    Department of Molecular Science & Technology, Ajou University

  • Research Assistant [Sep 2007 – Aug 2011]

    Department of Molecular Science & Technology, Ajou University

  • Research Trainee [Jan 2006 – June 2006]

    Bioinformatics lab, National Institute of Immunology, India

Awards & Honors

  • Received Consolidator grant (Type 1) (PI) [Mar 2021 – Feb 2024]
  • Received BRL grant (Co-PI) [June 2020 – Feb 2023]
  • Received Basic Science Research Program (PI) [June 2018 – May 2021]
  • KIAS associate member [June 2017 – To date]
  • Research Fellowship – 'KIAS research fellow', KIAS, South Korea [Nov 2011 – Feb 2017]
  • Post-doctoral Fellowship – MSTRC, Ajou University, South Korea [Sep 2011 – Oct 2011]
  • Graduate Fellowship – RA & BK21, Ajou University, South Korea [Sep 2007 – Aug 2011]
  • Teaching Assistant-cum-Research Fellowship, University of Madras, India [Aug 2006 – July 2007]

Who is accessing

Contact

If you have any queries regarding our programs, please let me know.

  • Location
  • Department of Integrative Biotechnology, College of Biotechnology & Bioengineering, Sungkyunkwan University
  • Biotechnology and Bioengineering Building 2, Seobu-ro, Jagan-gu, Suwon-si, Gyeonggi-do, 16419, Republic of Korea
  • Email
  • bala2022@skku.edu
  • bala.msuman@gmail.com
  • Phone
  • xxx-xxx-xxxx (Office)
  • 010-9885-2749 (Mobile)