Evidence map›Paper›PMID 28688107›Full record

ArticleProteins2017

Evaluating amber force fields using computed NMR chemical shifts.

David R Koes, John K Vries

Abstract read
In one paragraph

Article in Proteins, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. CACHE Challenge #1: Docking with GNINA Is All You Need.Journal of chemical information and modeling · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

David R KoesComputational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, 15260.ORCID http://orcid.org/0000-0002-6892-6614
John K VriesComputational and Systems Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, 15260.ORCID http://orcid.org/0000-0002-0090-0354

Funding

Bridging Sequence Patterns and Structural DynamicsR01LM007994 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET · 2004 to 2011
$3.0M
Methods, Tools and Resources for Interactive Online Virtual Screening and Lead OptimizationR01GM108340 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KOES, DAVID RYAN · 2013 to 2020
$1.8M
NIGMS NIH HHS R01 GM108340NLM NIH HHS R01 LM007994
6 · The paper itself

Abstract

NMR chemical shifts can be computed from molecular dynamics (MD) simulations using a template matching approach and a library of conformers containing chemical shifts generated from ab initio quantum calculations. This approach has potential utility for evaluating the force fields that underlie these simulations. Imperfections in force fields generate flawed atomic coordinates. Chemical shifts obtained from flawed coordinates have errors that can be traced back to these imperfections. We use this approach to evaluate a series of AMBER force fields that have been refined over the course of two decades (ff94, ff96, ff99SB, ff14SB, ff14ipq, and ff15ipq). For each force field a series of MD simulations are carried out for eight model proteins. The calculated chemical shifts for the

Indexed as

Protein ConformationMolecular Dynamics SimulationNuclear Magnetic Resonance, BiomolecularPeptidesProteinsProtein Structure, SecondaryQuantum TheoryStatic ElectricityPeptidesProteinschemical shiftmolecular dynamicsmolecular mechanicspeptide bondsquantum mechanicsα-helixβ-sheet

Identifiers

PMID28688107
PMCPMC6193454

What OpenQuestion holds

Textmetadata
LicenceTDM
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.