Your browser does not fully support modern features. Please upgrade for a smoother experience.
Protein Engineering: Comparison
Please note this is a comparison between Version 2 by Yu Peng and Version 1 by Yu Peng.

Protein engineering is the intentional design, generation, and characterization of proteins with specified molecular properties. It connects changes in amino acid sequence or molecular architecture with changes in structure, dynamics, binding, stability, or catalytic behavior [1]. Engineered proteins may contain substitutions, insertions, deletions, or redesigned arrangements of structural elements. Sequence changes can be chosen using structural and mechanistic information, generated within variant libraries, or proposed through computational models [1][2]. The resulting molecules are evaluated experimentally to establish their properties under defined conditions [1][3]. The relevant molecular context includes folding, interactions among residues, active-site organization, and interactions with ligands or other macromolecules [3][4]. Consequently, the effect of a sequence change depends on the surrounding protein framework. Protein engineering comprises the coordinated relationship between a molecular specification, sequence-level design or diversification, and characterization of the resulting protein [3].

  • protein design
  • sequence–structure relationship
  • protein variants
  • molecular properties

🔵 Protein Structure and Dynamics • 🟣 Molecular Biology • 🟡 Biochemistry, Genetics and Molecular Biology • 🔴 Life Sciences

References

  1. Raushan Kumar Singh; Manish Kumar Tiwari; Ranjitha Singh; Jung-Kul Lee; From Protein Engineering to Immobilization: Promising Strategies for the Upgrade of Industrial Enzymes. Int. J. Mol. Sci. 2013, 14, 1232-1277. [CrossRef]
  2. Bingxin Zhou; Yang Tan; Yutong Hu; Lirong Zheng; Bozitao Zhong; Liang Hong; Protein Engineering in the Deep Learning Era. mLife 2024, 3, 477-491. [CrossRef]
  3. Alexandre Barrozo; Rok Borstnar; Gaël Marloie; Shina Caroline Lynn Kamerlin; Computational Protein Engineering: Bridging the Gap between Rational Design and Laboratory Evolution. Int. J. Mol. Sci. 2012, 13, 12428-12460. [CrossRef]
  4. Jiahui Zhou; Meilan Huang; Navigating the Landscape of Enzyme Design: from Molecular Simulations to Machine Learning. Chem. Soc. Rev. 2024, 53, 8202-8239. [CrossRef]
More
Write an Entry