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Sridhar Hariharaputran

Researcher at National Centre for Biological Sciences

Publications -  14
Citations -  347

Sridhar Hariharaputran is an academic researcher from National Centre for Biological Sciences. The author has contributed to research in topics: Structural Classification of Proteins database & Data warehouse. The author has an hindex of 8, co-authored 13 publications receiving 327 citations. Previous affiliations of Sridhar Hariharaputran include Bharathidasan University & Bielefeld University.

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The Database of Quantitative Cellular Signaling: management and analysis of chemical kinetic models of signaling networks

TL;DR: The Database of Quantitative Cellular Signaling is a repository of models of signaling pathways intended both to serve the growing field of chemical-reaction level simulation of signaling networks, and to anticipate issues in large-scale data management for signaling chemistry.
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Defining putative T cell epitopes from PE and PPE families of proteins of Mycobacterium tuberculosis with vaccine potential.

TL;DR: The results reveal that of all PE and PPE proteins, a significant number of these peptides are predicted to be high-affinity HLA binders, irrespective of the length of the protein.
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Molecular Mechanism of Dimerization of Bowman-Birk Inhibitors PIVOTAL ROLE OF ASP76 IN THE DIMERZATION

TL;DR: Results support the premise that a unique interaction, which stabilizes the dimer, is the cause of self-association in the inhibitors, and reveal the role of charged interactions in the monomer ↔ dimer equilibria.
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Petri net models for the semi-automatic construction of large scale biological networks

TL;DR: This paper motivates the application of Petri nets for modeling and simulation of biological networks and presents a type of access to relevant metabolic databases such as KEGG, BRENDA, etc that supports semi-automatic generation of the correlated hybrid Petri net model.
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Conformationally locked thiosugars as potent α-mannosidase inhibitors: Synthesis, biochemical and docking studies

TL;DR: A series of thiosugar derivatives derived from mannose were synthesized and their inhibitory activity was tested against alpha-mannosidase and the sulfone derivative 10 was shown to be the best inhibitor.