Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods-Reference-Cited by-同舟云学术

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Prediction of Solubility of Proteins in Escherichia coli Based on Functional and Structural Features Using Machine Learning Methods

Published:2024-09-07 Issue: Volume: Page:
ISSN:1572-3887
Container-title:The Protein Journal
language:en
Short-container-title:Protein J

Author:

Huang Feiming,Gao Qian,Zhou XianChao,Guo Wei,Feng KaiYan,Zhu Lin,Huang Tao,Cai Yu-Dong

Funder

Strategic Priority Research Program of Chinese Academy of Sciences

National Key R&D Program of China

Fund of the Key Laboratory of Tissue Microenvironment and Tumor of Chinese Academy of Sciences

Shandong Provincial Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10930-024-10230-z.pdf

Reference64 articles.

1. McPherson A (1999) Crystallization of biological macromolecules. Cold Spring Harbor Laboratory Press

2. Garidel P (2013) Protein solubility from a biochemical, physicochemical and colloidal perspective. Am Pharm Rev 2(5):26–28

3. Chang CCH et al (2014) Bioinformatics approaches for improved recombinant protein production in Escherichia coli: protein solubility prediction. Brief Bioinform 15(6):953–962

4. Makrides SC (1996) Strategies for achieving high-level expression of genes in Escherichia coli. Microbiol Rev 60(3):512–538

5. Georgiou G, Valax P (1996) Expression of correctly folded proteins in Escherichia coli. Curr Opin Biotechnol 7(2):190–197

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