The Centre for Computational Biology and Bioinformatics at Jawaharlal Nehru University is currently involved in various research Topics/Areas. They can be broadly classified into
I. Computational Genomics
- Identification of Regulatory RNA or Riboswitches
- Segmentation studies of Human chromosome X
- Functional Annotation and motif finding in p53
- Study of biologically significant patterns
- Comparative Genomics in Plant genome
- Gene regulatory network
- Development of GeneScan with splice site detection using Hidden Markov models.
- Automated genome annotation.
- Development of novel algorithms for motif and signal identification.
- Statistical methods in sequence analysis -
- Genome Fragmentation
- Entropy applied to full genomes and regulatory sites
II. Development of Tools for Bioinformatics
- Core Algorithms - The coding of reusable libraries of core techniques not available in the open source and required for our research. (Markov models and Genetic Algorithms).
- System Biology - Correlation analysis of the components of whole genomes and inter-genome systems analysis will be important tools for comparative genomics. We have developed tools for the identification of co-regulated genes from an analysis of their upstream sequences.
- Distributed Computing - The large scale of data requires the parallel implementation of Bioinformatics code. We have implemented commonly available code on Linux clusters using PVM.
- Drug Target and Drug Design - HMM profiles of the genetic complement of parasitic v/s host genomes have proved useful in drug target identification. Genetic algorithms developed in-house will be used for configuration and conformation analysis of potential targets.
III. Structure based Bioinformatics and In silico Drug Discovery
- Finding new molecules as potential drugs for Entamoeba histolytica
- Development and application of computer simulation techniques
- MD Simulation on Viral Proteins and inhibitor designing
- Simulation of Proton Pumps in Biology
- Virtual Screening and Drug Design
- Prediction of ligand binding sites in proteins.
- Active site design and functional re-engineering of enzymes.
- The design of drugs and employ computational drug design techniques on identified drug targets.
IV. Database Management
- Development of a system for integrated access to heterogeneous sources of biological data.
- Provide access to annotated and raw data through BioGRID.
- Development of Database on plant and infectious disease.
IV. Microarray Analysis and
- Prediction of miRNAs
IV. Systems Biology
- Dynamics of intracellular oscillators
- Computational modeling and analysis of the septation process in E.coli
- MCA and FBA in infectious disease genome.