Computational 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

Mucus dynamics and transport in human-lung capillaries

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

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

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

Enhanced Kinetic Sampling Methods for Biomolecular Simulations (TA/FA)

All life processes are based on the fact
that biomolecules can exist in and can switch between different conformations. However,
tracing the structures and the dynamics of proteins and other biomolecules is
expensive and in fact, not possible through experimental means alone in most
cases. Atomistic simulations are playing an increasingly important role in
elucidating molecular processes. However, brute force methods are limited in  read more »

Proposing Faculty
Research Area
  • Computational 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

Modeling and simulations of anti-HIV protein SAMHD1 (TA/FA)






A human cellular
enzyme, SAMHD1 has recently generated immense interest in its activity and
regulation on account of its role in blocking HIV-1 infection in dendritic
cells. The enzyme has the potential to provide a solution to the pandemic that
has already taken an enormous human and economic toll. However, the functioning  read more »

Proposing Faculty
Research Area
  • Computational 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
Swati Bhattacharya

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