Back to Search Start Over

Protein electrostatics: From computational and structural analysis to discovery of functional fingerprints and biotechnological design

Authors :
Irene Righetto
Marta Giacomello
Laura Cendron
Filippo Vascon
Elisabetta Bergantino
Francesco Filippini
Matteo Gasparotto
Source :
Computational and Structural Biotechnology Journal, Computational and Structural Biotechnology Journal, Vol 18, Iss, Pp 1774-1789 (2020)
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

Computationally driven engineering of proteins aims to allow them to withstand an extended range of conditions and to mediate modified or novel functions. Therefore, it is crucial to the biotechnological industry, to biomedicine and to afford new challenges in environmental sciences, such as biocatalysis for green chemistry and bioremediation. In order to achieve these goals, it is important to clarify molecular mechanisms underlying proteins stability and modulating their interactions. So far, much attention has been given to hydrophobic and polar packing interactions and stability of the protein core. In contrast, the role of electrostatics and, in particular, of surface interactions has received less attention. However, electrostatics plays a pivotal role along the whole life cycle of a protein, since early folding steps to maturation, and it is involved in the regulation of protein localization and interactions with other cellular or artificial molecules. Short- and long-range electrostatic interactions, together with other forces, provide essential guidance cues in molecular and macromolecular assembly. We report here on methods for computing protein electrostatics and for individual or comparative analysis able to sort proteins by electrostatic similarity. Then, we provide examples of electrostatic analysis and fingerprints in natural protein evolution and in biotechnological design, in fields as diverse as biocatalysis, antibody and nanobody engineering, drug design and delivery, molecular virology, nanotechnology and regenerative medicine.

Details

ISSN :
20010370
Volume :
18
Database :
OpenAIRE
Journal :
Computational and Structural Biotechnology Journal
Accession number :
edsair.doi.dedup.....82573f6a47c79555eb09df14a6e7fe08
Full Text :
https://doi.org/10.1016/j.csbj.2020.06.029