Evidence map›Paper›PMID 29262673›Full record

ArticleJournal of chemical theory and computation2018

Saturation Mutagenesis by Efficient Free-Energy Calculation.

Zuzana Jandova, Daniel Fast, Martina Setz, Maria Pechlaner, Chris Oostenbrink

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. EfficientJournal of chemical information and modeling · 2021
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Implicit ligand theory for relative binding free energies.The Journal of chemical physics · 2018
    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

5 authors.

Zuzana JandovaInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences , Vienna A-1190, Austria.
Daniel FastInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences , Vienna A-1190, Austria.
Martina SetzInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences , Vienna A-1190, Austria.
Maria PechlanerInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences , Vienna A-1190, Austria.
Chris OostenbrinkInstitute of Molecular Modeling and Simulation, University of Natural Resources and Life Sciences , Vienna A-1190, Austria.ORCID http://orcid.org/0000-0002-4232-2556

Funding

Austrian Science Fund FWF I 1999Austrian Science Fund FWF W 1224
6 · The paper itself

Abstract

Single-point mutations in proteins can greatly influence protein stability, binding affinity, protein function or its expression per se. Here, we present accurate and efficient predictions of the free energy of mutation of amino acids. We divided the complete mutational free energy into an uncharging step, which we approximate by a third-power fitting (TPF) approach, and an annihilation step, which we approximate using the one-step perturbation (OSP) method. As a diverse set of test systems, we computed the solvation free energy of all amino acid side chain analogues and obtained an excellent agreement with thermodynamic integration (TI) data. Moreover, we calculated mutational free energies in model tripeptides and established an efficient protocol involving a single reference state. Again, the approximate methods agreed excellently with the TI references, with a root-mean-square error of only 3.6 kJ/mol over 17 mutations. Our combined TPF+OSP approach does show not only a very good agreement but also a 2-fold higher efficiency than full blown TI calculations.

Indexed as

Molecular Dynamics SimulationThermodynamicsAmino AcidsMutagenesisAmino Acids

Identifiers

PMID29262673
PMCPMC5813279

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.