Computational Analysis of Energy Landscapes Reveals Dynamic Features That Contribute to Binding of Inhibitors to CFTR-Associated Ligand-Reference-Cited by-同舟云学术

Computational Analysis of Energy Landscapes Reveals Dynamic Features That Contribute to Binding of Inhibitors to CFTR-Associated Ligand

Author:

Holt Graham T.¹²^ORCID,Jou Jonathan D.¹,Gill Nicholas P.³,Lowegard Anna U.¹²,Martin Jeffrey W.¹,Madden Dean R.³,Donald Bruce R.¹⁴⁵

Affiliation:

1. Department of Computer Science, Duke University, Durham, North Carolina 27708, United States

2. Program in Computational Biology and Bioinformatics, Duke University, Durham, North Carolina 27708, United States

3. Department of Biochemistry & Cell Biology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire 03755, United States

4. Department of Biochemistry, Duke University, Durham, North Carolina 27710, United States

5. Department of Chemistry, Duke University, Durham, North Carolina 27710, United States

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

Reference96 articles.

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