IIIM works with a determined and single-minded mandate
of drug discovery. We are in the process of setting up
the systems biology division at IIIM, which would significantly
accelerate this process. Here we aim at using a holistic
approach rather then the classical reductionist approach
towards quantification of biological macromolecules. Obtaining
a full picture with respect to an organisms’s transcriptome,
proteome and metabolome would considerably reduce the
time for hypothesis generation and testing in various
model organisms. They also provide data for simulation
studies using in-silico techniques, which helps
in recognition of most probable targets for directing
drug discovery.
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To augment the collection of mouse
disease models with newer and more near-to-reality
models for various disease conditions like autoimmune
disorders, cardiovascular conditions, diabetes,
neurological diseases etc. |
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To setup laboratories for alternative
disease models like Zebrafish, Drosophila and C.
elegans. These are excellent model organisms and
various transgenics and mutations in these organisms
mimic conditions of human diseases. Amenability
of these organisms to genetic dissection helps to
identify and validate drug targets, relatively,
with ease. Already available models will be used
for drug screening and new disease models in these
organisms will be developed. |
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Secondary screening of various leads
to identify quality leads using systems biology
approach by assessing the impact of the molecule
not only on the known target but also on several
other proteins in a normal cell to ensure its safety
and tolerance and in pathological or pathogenic
cell to test its efficacy. This could, in principle,
also help to identify novel targets, of the tested
compound, involved in entirely different pharmacological
condition. |
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A complete proteomics setup to study
changes in expression and post-translational modification
and trained map-power to carry out such work. The
facility is equipped with automated spot-cutter,
robotic liquid handling system and high precision
detections systems like MALDI-TOF/TOF. |
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Mouse model for arthritis is being
used for identification natural products effective
in such condition. |
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Expertise and equipment to establish
protein-protein interaction and drug-protein interaction
maps for the complete proteome. |
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Expertise and setup to carry out transcriptome
analysis using Taqman Low Density arrays in high
throughput real-time PCR system. This would soon
be augmented with a microarray setup for complete
transcriptome studies. |
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Assay systems to assess the changes
in all known microRNA profiles using Taqman miRNA
assays in high throughput real-time PCR system. |
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Identification of differential phosphorylation
states at complete proteome level, in various cancers
as compared to normal cells, and consequent identification
of possible new drug targets. |
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Development of Drosophila models for
neurological disorders. |
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Effect of small molecules on microRNA
transcriptome in human cell lines and drosophila
models. |
2D Gel Electrophoresis systems:
2D gel electrophoresis system combines high resolution
of proteins on the basis of charge and mass. This system
is used for identification of differentially expressed
proteins, which aid in finding probable targets. It is
also used to identify expression changes in response to
small molecules.
MALDI-TOF/TOF:
It serves as the backbone for identification of gel separated
protein bands and in-gel digested protein spots, due to
its high sensitivity in tandem MS mode.
High Throughput Real Time PCR:
Capable of analyzing large scale samples in 384 or 96
well plate format. Both Taqman and SYBR green assays are
used for assaying changes in transcriptome in various
disease conditions and to assay the effect of small molecules
on gene expression. Taqman microRNA assays are used to
assay the effect of small molecules on microRNA expression
profiles.
Microarray:
We are in the process of acquiring complete microarray
setup for hybridization of affymetrix slides, Scanners
capable of reading high density chips and related software
for analyzing gene expression data.
Computational Facility:
We have computational facility equipped with silicon
graphics machines and high end servers with necessary
software resources for large scale molecular modeling
and docking studies.
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