Understanding The Intra And Inter-Cellular Interaction Complexities And Flexibilities Using Systems And Sequence Analysis Approach
EPrints@IICB
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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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