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Sagar D. Khare

Associate Professor at Biochemistry, Rutgers University-New Brunswick0 Followers

Dr. Sagar D. Khare is an Associate Professor at a university in New Brunswick, NJ. Although specific details about his department and research interests are not readily available, Dr. Khare is recognized for his contributions to his academic community. His work is characterized by a commitment to advancing knowledge and fostering a collaborative environment for students and colleagues alike. Dr. Khare's role involves not only teaching but also engaging in various scholarly activities that contribute to the broader academic discourse. His presence in the academic field is marked by a passion for education and a drive to inspire future generations of scholars.

Research Interests

Protein engineering computational biology enzyme design molecular modeling

Publications

1 - The rate and equilibrium constants for a multistep reaction sequence for the aggregation of superoxide dismutase in amyotrophic lateral sclerosis,Proceedings of the National Academy of Sciences

Sagar D. Khare , Michael Caplow , Nikolay V. Dokholyan ,

, 15094-15099, 2004-10-08

2 - Computational Structure Prediction Provides a Plausible Mechanism for Electron Transfer by the Outer Membrane Protein Cyc2 fromAcidithiobacillus ferrooxidans,

Virginia Jiang , Sagar D. Khare , Scott Banta ,

, 2021-03-22

3 - Benchmarking a computational design method for the incorporation of metal ion‐binding sites at symmetric protein interfaces,Protein Science

William A. Hansen , Sagar D. Khare ,

, 1584-1594, 2017-05-31

4 - A computational method for the design of nested proteins by loop‐directed domain insertion,Proteins: Structure, Function, and Bioinformatics

Kristin M. Blacklock , Lu Yang , Vikram K. Mulligan , Sagar D. Khare ,

, 354-369, 2018-01-24

5 - Mathematical models of protease-based enzymatic biosensors,

Deepak K. Agrawal , Sagar D. Khare , Eduardo D Sontag ,

, 2019-07-08

6 - Framework for Martini-based Coarse-grained Model of Enzymes: Model Development and Experimental Validation,

Mason Hooten , Sanjeeva Murthy , Nityananda Pal , Sagar D. Khare , Adam J. Gormley , Meenakshi Dutt ,

, 2024-09-24

7 - Common dynamical signatures of familial amyotrophic lateral sclerosis-associated structurally diverse Cu, Zn superoxide dismutase mutants,Proceedings of the National Academy of Sciences

Sagar D. Khare , Nikolay V. Dokholyan ,

, 3147-3152, 2006-02-17

8 - Sequence and structural determinants of Cu, Zn superoxide dismutase aggregation,Proteins: Structure, Function, and Bioinformatics

Sagar D. Khare , Kyle C. Wilcox , Peng Gong , Nikolay V. Dokholyan ,

, 617-632, 2005-09-08

9 - Systematic comparison of Amber and Rosetta energy functions for protein structure evaluation.,

Aliza Rubenstein , Kristin Blacklock , Hai Nguyen , David Case , Sagar Khare ,

, 2018-01-01

10 - Systematic comparison of Amber and Rosetta energy functions for protein structure evaluation.,

Aliza Rubenstein , Kristin Blacklock , Hai Nguyen , David Case , Sagar Khare ,

, 2018-04-04

11 - A Pareto-optimal approach for protein structure evaluation using Amber and Rosetta energy functions.,

Aliza Rubenstein , Kristin Blacklock , Hai Nguyen , David Case , Sagar Khare ,

, 2017-08-17

12 - Emerging themes in the computational design of novel enzymes and protein–protein interfaces,FEBS Letters

Sagar D. Khare , Sarel J. Fleishman ,

, 1147-1154, 2012-12-19

13 - Computational structure prediction provides a plausible mechanism for electron transfer by the outer membrane protein Cyc2 from Acidithiobacillus ferrooxidans,Protein Science

Virginia Jiang , Sagar D. Khare , Scott Banta ,

, 1640-1652, 2021-05-25

14 - Biophysical determinants of mutational robustness in a viral molecular fitness landscape,

Manasi A. Pethe , Aliza B. Rubenstein , Dmitri Zorine , Sagar D. Khare ,

, 2017-08-03

15 - Enzyme stabilization via computationally guided protein stapling,Proceedings of the National Academy of Sciences

Eric J. Moore , Dmitri Zorine , William A. Hansen , Sagar D. Khare , Rudi Fasan ,

, 12472-12477, 2017-11-06

16 - Data-driven supervised learning of a viral protease specificity landscape from deep sequencing and molecular simulations,Proceedings of the National Academy of Sciences

Manasi A. Pethe , Aliza B. Rubenstein , Sagar D. Khare ,

, 168-176, 2018-12-26

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