Automatic recognition of ligands in electron density by machine learning-Reference-Cited by-同舟云学术

Automatic recognition of ligands in electron density by machine learning

Published:2018-07-17 Issue:3 Volume:35 Page:452-461
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kowiel Marcin¹²,Brzezinski Dariusz³²,Porebski Przemyslaw J²⁴,Shabalin Ivan G²⁴,Jaskolski Mariusz¹⁵,Minor Wladek²⁴

Affiliation:

1. Center for Biocrystallographic Research, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznan, Poland

2. Department of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA

3. Institute of Computing Science, Poznan University of Technology, Poznan, Poland

4. Center for Structural Genomics of Infectious Diseases (CSGID), University of Virginia, Charlottesville, VA, USA

5. Department of Crystallography, Faculty of Chemistry, A. Mickiewicz University, Poznan, Poland

Funder

NIH

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Department of Health and Human Services

PUT Institute of Computing Science Statutory Funds

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/35/3/452/27699983/bty626.pdf

Reference42 articles.

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3. Automated crystallographic ligand building using the medial axis transform of an electron-density isosurface;Aishima;Acta Crystallogr. D Biol. Crystallogr.,2005

4. The protein data bank;Berman;Nucleic Acids Res.,2000

5. Trendspotting in the Protein Data Bank;Berman;FEBS Lett.,2013

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