Darrell E. Hurt, Ph.D.

Affiliations: 
1998-2003 Cornell University, Ithaca, NY, United States 
 2003-2006 NIDDK, NIH 
 2006-2019 NIAID, NIH, Rockville, MD, United States 
Area:
infectious diseases
Website:
https://www.niaid.nih.gov/research/bioinformatics-computational-biosciences-branch
Google:
"Darrell Hurt"
Bio:

Dr. Darrell E. Hurt leads the Bioinformatics and Computational Biosciences Branch as the Chief of a group of about 50 researchers and software developers in the Office of Cyber Infrastructure and Computational Biology at the National Institute of Allergy and Infectious Diseases. His scientific expertise includes molecular simulations and scientific 3D modeling. His graduate and postdoctoral work at Cornell University and elsewhere at NIH focused on X-ray crystallography. His doctoral work was recognized with the Pauling Award from the American Crystallographic Association and he is the author of several scientific research articles.

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Publications

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Wollenberg K, Harris M, Gabrielian A, et al. (2020) A retrospective genomic analysis of drug-resistant strains of M. tuberculosis in a high-burden setting, with an emphasis on comparative diagnostics and reactivation and reinfection status. Bmc Infectious Diseases. 20: 17
Gabrielian A, Engle E, Harris M, et al. (2019) Comparative analysis of genomic variability for drug-resistant strains of Mycobacterium tuberculosis: The special case of Belarus. Infection, Genetics and Evolution : Journal of Molecular Epidemiology and Evolutionary Genetics in Infectious Diseases. 104137
Gabrielian A, Engle E, Harris M, et al. (2019) TB DEPOT (Data Exploration Portal): A multi-domain tuberculosis data analysis resource. Plos One. 14: e0217410
Rosenthal A, Gabrielian A, Engle E, et al. (2017) The TB Portals: An open-access, web-based platform for global drug-resistant tuberculosis data sharing and analysis. Journal of Clinical Microbiology
Cimbro R, Peterson FC, Liu Q, et al. (2016) Tyrosine-sulfated V2 peptides inhibit HIV-1 infection via coreceptor mimicry. Ebiomedicine
Hurt DE, Suzuki S, Mayama T, et al. (2016) Structural Analysis on the Pathologic Mutant Glucocorticoid Receptor Ligand-binding Domains. Molecular Endocrinology (Baltimore, Md.). me20151177
Roberts ML, Kino T, Nicolaides NC, et al. (2013) A novel point mutation in the DNA-binding domain (DBD) of the human glucocorticoid receptor causes primary generalized glucocorticoid resistance by disrupting the hydrophobic structure of its DBD. The Journal of Clinical Endocrinology and Metabolism. 98: E790-5
Uchime O, Herrera R, Reiter K, et al. (2012) Analysis of the conformation and function of the Plasmodium falciparum merozoite proteins MTRAP and PTRAMP. Eukaryotic Cell. 11: 615-25
Nader N, Bachrach BE, Hurt DE, et al. (2010) A novel point mutation in helix 10 of the human glucocorticoid receptor causes generalized glucocorticoid resistance by disrupting the structure of the ligand-binding domain. The Journal of Clinical Endocrinology and Metabolism. 95: 2281-5
Plassmeyer ML, Reiter K, Shimp RL, et al. (2009) Structure of the Plasmodium falciparum circumsporozoite protein, a leading malaria vaccine candidate. The Journal of Biological Chemistry. 284: 26951-63
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