Evidence map›Paper›PMID 15010542›Full record

ArticleProtein science : a publication of the Protein Society2004

Energy functions for protein design I: efficient and accurate continuum electrostatics and solvation.

Navin Pokala, Tracy M Handel

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
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

29 citing papers in PubMed.

  1. Article
  2. Functionalized MoSScientific reports · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Computational design of membrane proteins using RosettaMembrane.Protein science : a publication of the Protein Society · 2018
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. A matching algorithm for catalytic residue site selection in computational enzyme design.Protein science : a publication of the Protein Society · 2011
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  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

2 authors.

Navin PokalaDepartment of Molecular and Cell Biology, University of California, Berkeley, 237 Hilde-brand Hall, Berkeley, CA 94720-3206, USA. navin@annapurna.berkeley.edu
Tracy M Handel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrostatics and solvation energies are important for defining protein stability, structural specificity, and molecular recognition. Because these energies are difficult to compute quickly and accurately, they are often ignored or modeled very crudely in computational protein design. To address this problem, we have developed a simple, fast, and accurate approximation for calculating Born radii in the context of protein design calculations. When these approximate Born radii are used with the generalized Born continuum dielectric model, energies calculated by the 10(6)-fold slower finite difference Poisson-Boltzmann model are faithfully reproduced. A similar approach can be used for estimating solvent-accessible surface areas (SASAs). As an independent test, we show that these approximations can be used to accurately predict the experimentally determined pK(a)s of >200 ionizable groups from 15 proteins.

Indexed as

AlgorithmsMathematical ComputingComputer SimulationDatabases, ProteinModels, MolecularModels, TheoreticalProtein ConformationProteinsSolventsStatic ElectricityThermodynamicsWettabilityProteinsSolvents

Identifiers

PMID15010542
PMCPMC2280065

What OpenQuestion holds

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Registered trials

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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.