Evidence map›Paper›PMID 32695270›Full record

ReviewComputational and structural biotechnology journal2020

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

Filippo Vascon, Matteo Gasparotto, Marta Giacomello, Laura Cendron, Elisabetta Bergantino, Francesco Filippini, Irene Righetto

Open access · goldAbstract readReview
In one paragraph

Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 84 citations in OpenAlex.

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  9. Electric charge and salting in/out effects on glucagon's dipole moments and polarizabilities using the GruPol database.Acta crystallographica Section B, Structural science, crystal engineering and materials · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Filippo VasconSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Italy.
Matteo GasparottoSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Italy.
Marta GiacomelloBioenergetic Organelles Unit, Department of Biology, University of Padua, Italy.
Laura CendronSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Italy.
Elisabetta BergantinoSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Italy.
Francesco FilippiniSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Italy.
Irene RighettoSynthetic Biology and Biotechnology Unit, Department of Biology, University of Padua, Italy.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID32695270
PMCPMC7355722
OpenAlexW3039200561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.