Evidence map›Paper›PMID 21140293›Full record

ReviewAnnals of biomedical engineering2011

Electrostatic clustering and free energy calculations provide a foundation for protein design and optimization.

Ronald D Gorham, Chris A Kieslich, Dimitrios Morikis

Open access · hybridAbstract readReviewValidation Study
In one paragraph

Review in Annals of biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

24 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
  3. The Family Keeps on Growing: Four Novel Fungal OYEs Characterized.International journal of molecular sciences · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Electrostatic Steering Accelerates C3d:CR2 Association.The journal of physical chemistry. B · 2016
    Article
  13. Article
  14. Article
  15. Energetic evaluation of binding modes in the C3d and Factor H (CCP 19-20) complex.Protein science : a publication of the Protein Society · 2015
    Article
  16. Article
  17. Article
  18. Review
  19. Engineering pre-SUMO4 as efficient substrate of SENP2.Protein engineering, design & selection : PEDS · 2014
    Article
  20. Article
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

3 authors at 1 institution in 1 country.

Ronald D GorhamDepartment of Bioengineering, University of California, Riverside, CA 92521, USA.
Chris A Kieslich
Dimitrios Morikis
University of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrostatic interactions are ubiquitous in proteins and dictate stability and function. In this review, we discuss several methods for the analysis of electrostatics in protein-protein interactions. We discuss alanine-scanning mutagenesis, Poisson-Boltzmann electrostatics, free energy calculations, electrostatic similarity distances, and hierarchical clustering of electrostatic potentials. Our recently developed computational framework, known as Analysis of Electrostatic Similarities Of Proteins (AESOP), incorporates these tools to efficiently elucidate the role of electrostatic potentials in protein interactions. We present the application of AESOP to several proteins and protein complexes, for which charge is purported to facilitate protein association. Specifically, we illustrate how recent work has shaped the formulation of electrostatic calculations, the correlation of electrostatic free energies and electrostatic potential clustering results with experimental binding and activity data, the pH dependence of protein stability and association, the design of mutant proteins with enhanced immunological activity, and how AESOP can expose deficiencies in structural models and experimental data. This integrative approach can be utilized to develop mechanistic models and to guide experimental studies by predicting mutations with desired physicochemical properties and function. Alteration of the electrostatic properties of proteins offers a basis for the design of proteins with optimized binding and activity.

Indexed as

AlanineDrug DesignHydrogen-Ion ConcentrationMutagenesisMutant ProteinsProtein EngineeringProtein Interaction MappingProteinsStatic ElectricityThermodynamicsAlanineMutant ProteinsProteins

Identifiers

PMID21140293
PMCPMC3069318
OpenAlexW1998925734

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.