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Contact Information: D240 LSRC Department of Computer Science Duke University Durham, NC 27708-0129 Phone: (919) 660-4017, Fax: (919) 660-6519 Email: chittu [at] cs.duke.edu |
I am broadly interested in Computational Structural Biology, Bioinformatics, and Applied Algorithms. My current research focuses on developing efficient and robust algorithms for (i) Protein Structure Determination from a minimal amount of data recorded using Nuclear Magnetic Resonance (NMR) spectroscopy, and (ii) the Protein Loop Modeling Problem. My research interests also include Protein Design, and the study of protein dynamics and Intrinsically Disordered Proteins (IDPs), with an emphasis on sparse-data algorithms that use the knowledge mined from the big data involving protein structures, functions and experimental measurements, available to the scientific community. My research draws on tools and techniques from the biophysics and biochemistry of proteins, algebraic geometry, graph theory, combinatorial optimization, machine learning and robotics.
I like the stimulating research milieu of the Donald Laboratory so much that I plan to hang around here this academic year! Meanwhile, I am also teaching in the Duke Computer Science Department.| Novel Algorithms for Protein Structure Determination from Sparse NMR Data. Chittaranjan Tripathy. Duke University, May 2012. (Need a copy? Please email me.) |
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Analytic Solutions to Peptide Plane Orientations from Residual Dipolar Coupling and Residual Chemical Shift Anisotropy. Chittaranjan Tripathy, Anthony K. Yan, Pei Zhou and Bruce R. Donald. In Preparation for a journal.
A Hybrid Algorithm to Determine Protein Fragment Conformations and Orientations from Residual Chemical Shift Anisotropy and Residual Dipolar Coupling Data: Applications to Computing the Protein Global-Fold. |
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NMR Structure Determination of GrsA Epimerase Domain by Residual Dipolar Couplings (RDCs), Sparse NOEs and PREs. Cheng-Yu Chen, Chittaranjan Tripathy, Jianyang Zeng, Pei Zhou, and Bruce Randall Donald. Duke Biochemistry Department Retreat. Wrightsville Beach, NC, October 05-07, 2012. (Winner of the Best Poster Award)
RDC-PANDA: a High-Resolution NMR Structure Determination Algorithm Starting with a Global Fold Calculated from Exact Solutions to the RDC Equations.
Protein Structure Determination using Sparse Orientational Restraints from NMR Data.
Bridging the Protein Gap: Using a Fragment Library with Incomplete NMR Models.
Automated Structure Determination from Sparse NMR Data. |