Systems Biology

Targeting transcriptional regulators in drug resistant bacteria

In this project we will employ the CRISPR technique to target transcriptional regulators in resistant bacteria in an attempt to regulate their sensitivity towards drugs. Key regulators to be targetted would be identified using a comnputational approach.

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Systems Biology

Single-cell data guided modeling of phenotype switching

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Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Reaction Engineering
  • Systems Biology

Phenotype switching during Tumor Necrosis Factor alpha signaling

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Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Systems Biology

Modelling the formation and movement of arterial plaques

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Proposing Faculty
Research Area
  • Computational Biology
  • Computational Flow Modelling (CFD)
  • Fluid Mechanics and Stability
  • Rheology
  • Systems Biology

Topic 3: Development of synthetic biology tools for cyanobacteria.

Guide:  Prof. Pramod Wangikar.  read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Data Analysis
  • Modelling
  • Optimisation
  • Systems Biology

Topic 2: Non-stationary 13C-Metabolic flux analysis of non-model organisms.

Guide:  Prof. Pramod Wangikar.  read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Modelling
  • Systems Biology

State and parameter estimation of ensemble dynamics

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Proposing Faculty
Research Area
  • Computational Biology
  • Data Analysis
  • Identification
  • Modelling
  • Optimisation
  • Systems Biology

Theoretical models to understand evolutionary processes.

In the story of evolution from a single cell (LUCA: https://en.wikipedia.org/wiki/Last_universal_common_ancestor) to complex eukaryotes, there are several missing links. In this project, we aim to develop theoretical and computational models to analyze these missing aspects in our understanding of evolution of life on Earth.  read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Enzymology
  • Systems Biology

Sympatric speciation experiments in yeast.

New species come into being when an existing species "splits" into two species. This process is called speciation, and is known to occur via two modes - allopatry (literally meaning different place) and sympatry (same place). In allopatry, individuals of a species are separated physically (by a water body, for instance), and thereafter, the two separated groups evolve independently. The precise environmental conditions in the two regions drive these two groups apart with time, and eventually, the two groups speciatte into distinct species.  read more »

Proposing Faculty
Research Area
  • Computational Biology
  • Systems Biology

Modeling and simulation of endoplasmic reticulum stress pathways (TA/FA)

Endoplasmic reticulum (ER) is responsible for many important cellular functions such as
folding of proteins, glycosylation and quality control etc. Many
environmental and genetic perturbations such as hypoxia, glucose deficiency, overload of unfolded protein can lead to ER stress. ER stress has been associated with pathogenesis of many diseases
such as diabetes, neurodegenarative diseases such as Alziemers and
Parkinsons. Further, industrial recombinant mammalian cell lines producting recombinant therapeutics are also subject to ER stress.  read more »

Proposing Faculty
Research Area
  • Biochemical Engineering
  • Biomolecular Engineering
  • Computational Biology
  • Systems Biology