ProtaBank: A repository for protein design and engineering data-Reference-Cited by-同舟云学术

ProtaBank: A repository for protein design and engineering data

Published:2018-04-30 Issue:6 Volume:27 Page:1113-1124
ISSN:0961-8368
Container-title:Protein Science
language:en
Short-container-title:Protein Science

Author:

Wang Connie Y.¹^ORCID,Chang Paul M.¹,Ary Marie L.¹,Allen Benjamin D.¹²,Chica Roberto A.³,Mayo Stephen L.¹⁴,Olafson Barry D.¹

Affiliation:

1. Protabit LLC, 129 N. Hill Avenue, Suite 102; Pasadena California 91106

2. Department of Biochemistry and Molecular Biology, and the Huck Institutes of the Life Sciences; Pennsylvania State University; University Park Pennsylvania 16802

3. Department of Chemistry and Biomolecular Sciences; University of Ottawa; Ottawa Ontario K1N 6N5 Canada

4. Division of Biology and Biological Engineering, and Division of Chemistry and Chemical Engineering; California Institute of Technology; Pasadena California 91125

Funder

National Institute of General Medical Sciences of the National Institutes of Health

Publisher

Wiley

Subject

Molecular Biology,Biochemistry

Reference40 articles.

1. Coming of age: ten years of next-generation sequencing technologies;Goodwin;Nat Rev Genet,2016

2. Dissecting enzyme function with microfluidic-based deep mutational scanning;Romero;Proc Natl Acad Sci USA,2015

3. High-throughput analysis and protein engineering using microcapillary arrays;Chen;Nat Chem Biol,2016

4. Parallel on-chip gene synthesis and application to optimization of protein expression;Quan;Nat Biotechnol,2011

5. High-resolution mapping of protein sequence-function relationships;Fowler;Nat Methods,2010

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