Homayoun Valafar

Affiliations: 
Computer Science & Engineering University of South Carolina, Columbia, SC 
Area:
Computer Science, Artificial Intelligence
Website:
https://www.cse.sc.edu/~homayoun/
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"Homayoun Valafar"
Bio:

https://www.proquest.com/openview/a95d2a7f866a43355615cc7944c33a8d/1

Parents

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Okan K. Ersoy grad student 1995 Purdue
 (A new combinatorial optimization technique and its applications)
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Publications

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Abdollahi H, Prestegard JH, Valafar H. (2023) Computational modeling multiple conformational states of proteins with residual dipolar coupling data. Current Opinion in Structural Biology. 82: 102655
Omar H, Hein A, Cole CA, et al. (2022) Concurrent Identification and Characterization of Protein Structure and Continuous Internal Dynamics with REDCRAFT. Frontiers in Molecular Biosciences. 9: 806584
Cole CA, Daigham NS, Liu G, et al. (2021) REDCRAFT: A computational platform using residual dipolar coupling NMR data for determining structures of perdeuterated proteins in solution. Plos Computational Biology. 17: e1008060
Cole C, Parks C, Rachele J, et al. (2020) Increased usability, algorithmic improvements and incorporation of data mining for structure calculation of proteins with REDCRAFT software package. Bmc Bioinformatics. 21: 204
Nag A, Valafar H, Pandala N. (2020) A Study of Nonstructural Protein 1 of SARS Coronavirus The Faseb Journal. 34: 1-1
Sala D, Huang YJ, Cole CA, et al. (2019) Protein Structure Prediction Assisted with Sparse NMR Data in CASP13. Proteins
Cole CA, Mukhopadhyay R, Omar H, et al. (2016) Structure Calculation and Reconstruction of Discrete State Dynamics from Residual Dipolar Couplings. Journal of Chemical Theory and Computation
Fahim A, Irausquin S, Valafar H. (2016) nD-PDPA: n-Dimensional Probability Density Profile Analysis Emerging Trends in Applications and Infrastructures For Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications. 181-196
Cole CA, Ishimaru D, Hennig M, et al. (2016) Structure Calculation of α, α/β, β Proteins from Residual Dipolar Coupling Data Using Redcraft Emerging Trends in Applications and Infrastructures For Computational Biology, Bioinformatics, and Systems Biology: Systems and Applications. 75-89
Simin M, Irausquin S, Cole CA, et al. (2014) Improvements to REDCRAFT: a software tool for simultaneous characterization of protein backbone structure and dynamics from residual dipolar couplings. Journal of Biomolecular Nmr. 60: 241-64
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