Sampling and energy evaluation challenges in ligand binding protein design-Reference-Cited by-同舟云学术

Sampling and energy evaluation challenges in ligand binding protein design

Published:2017-10-30 Issue:12 Volume:26 Page:2426-2437
ISSN:0961-8368
Container-title:Protein Science
language:en
Short-container-title:Protein Science

Author:

Dou Jiayi¹²³,Doyle Lindsey⁴,Jr. Greisen Per⁵,Schena Alberto⁶,Park Hahnbeom³⁷,Johnsson Kai⁶,Stoddard Barry L.⁴,Baker David³⁷⁸

Affiliation:

1. Department of Bioengineering; University of Washington; Seattle Washington

2. Graduate Program in Biological Physics, Structure, and Design; University of Washington; Seattle Washington

3. Institute for Protein Design, University of Washington; Seattle Washington

4. Division of Basic Sciences; Fred Hutchinson Cancer Research Center; Seattle Washington

5. Global Research, Novo Nordisk A/S; DK-2760 Måløv Denmark

6. Ecole Polytechnique Federale de Lausanne, Institute of Chemical Sciences and Engineering, Institute of Bioengineering; National Centre of Competence in Research (NCCR) in Chemical Biology; Lausanne Switzerland

7. Department of Biochemistry; University of Washington; Seattle Washington

8. Howard Hughes Medical Institute, University of Washington; Seattle Washington

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Reference36 articles.

1. Congenital adrenal hyperplasia;Speiser;N Engl J Med,2003

2. Neonatal screening for congenital adrenal hyperplasia;White;Nat Rev Endocrinol,2009

3. Computational design of ligand-binding proteins with high affinity and selectivity;Tinberg;Nature,2013

4. Bioluminescent sensor proteins for point-of-care therapeutic drug monitoring;Griss;Nat Chem Biol,2014

5. A general strategy to construct small molecule biosensors in eukaryotes;Feng;eLife,2015

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