TMCrys: predict propensity of success for transmembrane protein crystallization-Reference-Cited by-同舟云学术

TMCrys: predict propensity of success for transmembrane protein crystallization

Published:2018-04-26 Issue:18 Volume:34 Page:3126-3130
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Varga Julia K¹,Tusnády Gábor E¹

Affiliation:

1. ‘Momentum’ Membrane Protein Bioinformatics Research Group, Institute of Enzymology, Research Center of Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary

Funder

Hungarian Scientific Research Fund

Hungarian Academy of Sciences

National Research, Development and Innovation Fund

Ministry of Human Resources

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/34/18/3126/25732122/bty342.pdf

Reference39 articles.

1. Overexpression of membrane proteins in mammalian cells for structural studies;Andréll;Mol. Membr. Biol,2013

2. SCMCRYS: predicting protein crystallization using an ensemble scoring card method with estimating propensity scores of P-collocated amino acid pairs;Charoenkwan;PLoS One,2013

3. TargetDB: a target registration database for structural genomics projects;Chen;Bioinformatics,2004

4. Prediction of protein crystallization using collocation of amino acid pairs;Chen;Biochem. Biophys. Res. Commun,2007

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