HFSP: high speed homology-driven function annotation of proteins-Reference-Cited by-同舟云学术

HFSP: high speed homology-driven function annotation of proteins

Published:2018-06-27 Issue:13 Volume:34 Page:i304-i312
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Mahlich Yannick¹²³,Steinegger Martin²⁴⁵,Rost Burkhard²³⁶⁷⁸,Bromberg Yana¹³⁹

Affiliation:

1. Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, NJ, USA

2. Computational Biology & Bioinformatics - i12 Informatics, Technical University of Munich (TUM), Munich, Germany

3. Institute for Advanced Study, Technical University of Munich (TUM), Munich, Germany

4. Quantitative and Computational Biology Group, Max-Planck Institute for Biophysical Chemistry, Göttingen, Germany

5. Department of Chemistry, Seoul National University, Seoul, Korea

6. TUM School of Life Sciences Weihenstephan (WZW), Technical University Munich (TUM), Freising, Germany

7. Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA

8. New York Consortium on Membrane Protein Structure (NYCOMPS), New York, NY, USA

9. Department of Genetics, Human Genetics Institute, Rutgers University, Piscataway, NJ, USA

Funder

NSF

NIH

USDA-NIFA

TU Munich

TUM

Institute for Advanced Study Hans Fischer Fellowship

IAS

German Excellence Initiative

EU Seventh Framework Programme

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Link

http://academic.oup.com/bioinformatics/article-pdf/34/13/i304/25098619/bty262.pdf

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4. The ENZYME database in 2000;Bairoch;Nucleic Acids Res,2000

5. Triterpene synthases from the Okinawan mangrove tribe, Rhizophoraceae;Basyuni;Febs. J,2007

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