Understanding The Intra And Inter-Cellular Interaction Complexities And Flexibilities Using Systems And Sequence Analysis Approach
IR@IICB: CSIR-Indian Institute of Chemical Biology, Kolkata
View Archive Info| Field | Value | |
| Title |
Understanding The Intra And
Inter-Cellular Interaction
Complexities And Flexibilities
Using Systems And Sequence
Analysis Approach
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| Creator |
Mukherjee, Ishita
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| Subject |
Structural Biology & Bioinformatics
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| Description |
The present thesis work has been undertaken to gain an understanding of intra-cellular
or inter-cellular interactions between bio-molecular entities utilizing either a systems
analysis based perspective or different sequence analysis approaches. During this study
different principles likely to be prevalent among intra-cellular and inter-cellular
interactions have been studied with the help of computational approaches. Broadly, the
complexities in intra-cellular interactions have been studied by determining the effect
of perturbations such as over-expression or down-regulation of a key regulator on the
intra-cellular interaction network architecture or its components. In particular, network
analysis of regulatory network proteins in association with the intra-cellular proteinprotein
interaction network, led to a key observation that topologically important
effector proteins in the regulatory network could be important signaling proteins.
Identification of such important effector proteins essential for the regulatory network
integrity of a key regulator may be performed by network analysis. It is likely that
alterations in these important effector proteins may lead to disruptions in cellular
physiology and as such in this manner probable disease associated entities can be
determined. Alternately, the flexibility among protein-protein interactions has been
studied by analyzing homologous sequence families of interacting proteins with the
help of information theory based measures like mutual information and Bhattacharyya
co-efficient. Since interacting proteins may co-evolve, co-variation may allow the
preservation of a functional interaction between co-evolving proteins and interdependent
residue pair alterations may occur as a result of evolutionary pressure.
Analysis of molecular co-evolution in inter-cellular protein interaction complexes
determined that co-evolutionary pairings may be present among interface and noninterface
residue pairs and such positions are likely to be crucial for a functional
interaction between these sets of proteins. Therefore, utilising information contained in
biological sequences, co-evolutionary pairings involving structurally or functionally
crucial residue positions in disease associated inter-cellular protein-protein interaction
complexes were predicted. Thus, different computational approaches have been utilised
to study a particular hypothesis in a disease scenario in order to delineate certain
themes prevalent in intra-cellular or inter-cellular interactions among bio-molecular
entities while predicting disease associated entities or studying interaction patterns
among them.
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| Date |
2020
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| Type |
Thesis
NonPeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://www.eprints.iicb.res.in/2842/1/CorrectedThesis%2DIshitaMukherjee.pdf
Mukherjee, Ishita (2020) Understanding The Intra And Inter-Cellular Interaction Complexities And Flexibilities Using Systems And Sequence Analysis Approach. PhD thesis, UNIVERSITY OF CALCUTTA. |
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| Relation |
http://www.eprints.iicb.res.in/2842/
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