Improved Prediction of Protein Crystallization, Purification and Production Propensity Using Hybrid Sequence Representation-Reference-Cited by-同舟云学术

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Improved Prediction of Protein Crystallization, Purification and Production Propensity Using Hybrid Sequence Representation

Published:2014-01-31 Issue:1 Volume:9 Page:57-64
ISSN:1574-8936
Container-title:Current Bioinformatics
language:en
Short-container-title:CBIO

Author:

Gao Jianzhao,Hu Gang,Wu Zhonghua,Ruan Jishou,Shen Shiyi,Hanlon Michelle,Wang Kui

Publisher

Bentham Science Publishers Ltd.

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2021-09-01

2. CrystalM: a multi-view fusion approach for protein crystallization prediction;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2019

3. Survey of Predictors of Propensity for Protein Production and Crystallization with Application to Predict Resolution of Crystal Structures;Current Protein & Peptide Science;2017-12-18

4. Computational crystallization;Archives of Biochemistry and Biophysics;2016-07

5. TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM;Amino Acids;2016-06-14

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