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Towards designing tunable nano-machines: Taking advantage of protein disorder

Implementing Organization

Indian Institute of Technology (IIT)
Principal Investigator
Dr. Athi Narayanan Naganathan
Assistant Professor
|
Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology (IIT), Madras, India

About

How are evolutionary selected functional and conformational features imprinted on the sequence, and how does Nature introduce multi-functionality into proteins through minimal changes in primary sequence? Is functional promiscuity compromised in going from a disordered domain to a well-folded structure? Can a quantitative picture of the interplay between energetic frustration, folding speed, stability and functional constraints be detailed at the amino-acid level on homologous proteins? How can these structural energetic subtleties at both local and global level be interwoven to design protein-based nano-sensors? We plan to answer these questions by studying homologous proteins that display extremes of disorder tendency and promiscuity – one completely unstructured, promiscuous and exhibiting weak DNA-binding (CytR) and the other well-folded, displaying specific and strong DNA-binding (LacR). CytR folds upon binding DNA to a structure resembling LacR.We therefore plan to construct a mutational path from the disordered CytR to the ordered LacR through rational protein design, extensive ensemble spectroscopic characterization, and DNA-binding assays. The connection between patterning of amino-acids, structure and functional promiscuity gleaned from this approach would then be exploited (together with a simple model) to design protein-based versatile sensors that can rapidly detect minor changes in ambient conditions and report them via reliable spectral signatures.
Funding Organization
Funding Organization
The Wellcome Trust/DBT India Alliance
Quick Information
Area of Research
Life Sciences & Biotechnology
Focus Area
Protein biophysics
Start Year
2015
End Year
2020
Sanction Amount
₹ 3.38 Cr
Status
Completed
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
2
Startup (If Any)
00
No. of Patents
Filed :00
Grant :00
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