Evidence map›Paper›PMID 26693223›Full record

ArticleAdvances in bioinformatics2015

Evaluation of Docking Target Functions by the Comprehensive Investigation of Protein-Ligand Energy Minima.

Igor V Oferkin, Ekaterina V Katkova, Alexey V Sulimov, Danil C Kutov, Sergey I Sobolev, Vladimir V Voevodin, Vladimir B Sulimov

Abstract read
In one paragraph

Article in Advances in bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  4. Article
  5. Designing a novel mRNA vaccine against SARS-CoV-2: An immunoinformatics approach.International journal of biological macromolecules · 2020
    Article
  6. Frontiers in pharmacology · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

7 authors.

Igor V OferkinDimonta, Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia.
Ekaterina V KatkovaDimonta, Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia ; Research Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
Alexey V SulimovDimonta, Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia ; Research Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
Danil C KutovDimonta, Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia ; Research Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
Sergey I SobolevResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
Vladimir V VoevodinResearch Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.
Vladimir B SulimovDimonta, Ltd., Nagornaya Street 15, Building 8, Moscow 117186, Russia ; Research Computer Center, Moscow State University, Leninskie Gory 1, Building 4, Moscow 119992, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The adequate choice of the docking target function impacts the accuracy of the ligand positioning as well as the accuracy of the protein-ligand binding energy calculation. To evaluate a docking target function we compared positions of its minima with the experimentally known pose of the ligand in the protein active site. We evaluated five docking target functions based on either the MMFF94 force field or the PM7 quantum-chemical method with or without implicit solvent models: PCM, COSMO, and SGB. Each function was tested on the same set of 16 protein-ligand complexes. For exhaustive low-energy minima search the novel MPI parallelized docking program FLM and large supercomputer resources were used. Protein-ligand binding energies calculated using low-energy minima were compared with experimental values. It was demonstrated that the docking target function on the base of the MMFF94 force field in vacuo can be used for discovery of native or near native ligand positions by finding the low-energy local minima spectrum of the target function. The importance of solute-solvent interaction for the correct ligand positioning is demonstrated. It is shown that docking accuracy can be improved by replacement of the MMFF94 force field by the new semiempirical quantum-chemical PM7 method.

Identifiers

PMID26693223
PMCPMC4674582

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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.