The DOI matches its Crossref record; 762 of the 762 references it cites were found in a registry or an index.
Protein Design: From the Aspect of Water Solubility and Stability
Open accessAbstract
transmembrane protein design. Traditional strategies to enhance protein solubility and structural stability are introduced. The designs of stable protein complexes and high-order assemblies are covered. Computational methodologies behind these endeavors, including structure prediction programs, machine learning algorithms, and specialty software dedicated to the evaluation of protein solubility and aggregation, are discussed. The findings and opportunities for Cryo-EM are presented. This review provides an overview of significant progress and prospects in accurate protein design for solubility and stability.
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1 retracted
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Cited by
Ali, S. S., Al-Tohamy, R., Al-Zahrani, M., Schagerl, M., Kornaros, M., & Sun, J. (2025) · Microbial Cell Factories · doi:10.1186/s12934-025-02685-1 · Cited by 88
Basis for Accurate Protein p K a Prediction with Machine Learning
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Douaisi, M., Paskaleva, E. E., Fu, L., Grover, N., McManaman, C. L., Varghese, S., Brodfuehrer, P. R., Gibson, J. M., de Joode, I., Xia, K., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2315586121 · Cited by 31
SpatialPPI: Three-dimensional space protein-protein interaction prediction with AlphaFold Multimer
(2024) · doi:10.1016/j.csbj.2024.03.009 · Cited by 29
AAontology: An Ontology of Amino Acid Scales for Interpretable Machine Learning
Breimann, S., Kamp, F., Steiner, H., & Frishman, D. (2024) · Journal of Molecular Biology · doi:10.1016/j.jmb.2024.168717 · Cited by 15
Metadata
- Authors
- Qing, R., Hao, S., Smorodina, E., Jin, D., Zalevsky, A., & Zhang, S.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-08-03
- Volume
- 122
- Issue
- 18
- Pages
- 14085-14179
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W4289653737
- Cited by
- 312
- References
- 762
- FWCI
- 4.66
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Qing, R., Hao, S., Smorodina, E., Jin, D., Zalevsky, A., & Zhang, S. (2022). Protein Design: From the Aspect of Water Solubility and Stability. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.1c00757
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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