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Multiscale computer simulation of conformational space and aggregation propensity of intrinsically disordered protein

Implementing Organization

Tata Institute of Fundamental Research (TIFR)
Principal Investigator
Dr. Jagannath Mondal
Tata Institute of Fundamental Research (TIFR)

About

Intrinsically disordered proteins (IDP) are a crucial part of the biological proteome and have significant functional and biochemical relevance. However, they often display a fuzzy ensemble, making it difficult to establish a structure-function relationship through conventional experiments. This proposal aims to use a multiscale computer simulation framework to investigate the key monomeric conformational sub-ensemble and its possible aggregation. The core of the investigation will be a set of functionally important IDPs, including alpha-synuclein, Abeta40, Ash1, and sic1. The first phase will involve demultiplexing the conformational landscape of the monomeric IDPs using a novel Markov state model. The conformational sub-ensemble will be investigated for potential modulation in the presence of inert crowding agents, phosphorylation, and drug-like small molecules. The second phase will involve developing a coarse-grained model of IDPs based on atomistic simulation data. This model will be computationally simulated to investigate self-aggregation and liquid-liquid phase separation. The proposal aims to develop unique computational skills in PhD students in natural sciences and stimulate new experiments.

Source

Source
Anusandhan National Research Foundation/science and Engineering Research Board (sERB), DsT 2023-24
Funding Organization
Funding Organization
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Chemical Sciences
Start Year
2024
End Year
2027
Sanction Amount
₹ 38.38 L
Status
Ongoing
Contact
jagannath.mondal@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
No. of Patents
Filed : 00
Grant : 00
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