Evidence map›Paper›PMID 26837000›Full record

ArticleJournal of computational chemistry2016

Focused grid-based resampling for protein docking and mapping.

Artem B Mamonov, Mohammad Moghadasi, Hanieh Mirzaei, Shahrooz Zarbafian, Laurie E Grove, Tanggis Bohnuud, Pirooz Vakili, Ioannis Ch Paschalidis, Sandor Vajda, Dima Kozakov

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Protein-ligand docking using FFT based sampling: D3R case study.Journal of computer-aided molecular design · 2018
    Article
  5. 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

10 authors.

Artem B MamonovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215.
Mohammad MoghadasiCenter for Information and Systems Engineering, Boston University, Boston, Massachusetts, 02215.
Hanieh MirzaeiCenter for Information and Systems Engineering, Boston University, Boston, Massachusetts, 02215.
Shahrooz ZarbafianDepartment of Mechanical Engineering, Boston University, Boston, Massachusetts, 02215.
Laurie E GroveDepartment of Sciences, Wentworth Institute of Technology, Boston, Massachusetts, 02115.
Tanggis BohnuudDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215.
Pirooz VakiliCenter for Information and Systems Engineering, Boston University, Boston, Massachusetts, 02215.
Ioannis Ch PaschalidisCenter for Information and Systems Engineering, Boston University, Boston, Massachusetts, 02215.
Sandor VajdaDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215.
Dima KozakovDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215.

Funding

Analysis and Prediction of Molecular InteractionsR35GM118078 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI SANDOR VAJDA · 2016 to 2026
$6.5M
Computational mapping of proteins for the binding of ligandsR01GM064700 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2003 to 2015
$4.3M
A MULTISTAGE APPROACH TO PROTEIN-PROTEIN DOCKINGR01GM061867 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI VAJDA, SANDOR · 2000 to 2016
$4.0M
Refinement Methods for Protein Docking based on Exploring Multi-Dimensional EnergR01GM093147 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KOZAKOV, DMYTRO, PASCHALIDIS, IOANNIS · 2011 to 2014
$1.2M
NIGMS NIH HHS GM061867NIGMS NIH HHS GM064700NIGMS NIH HHS GM093147NIGMS NIH HHS R01 GM061867NIGMS NIH HHS R01 GM064700NIGMS NIH HHS R01 GM093147NIGMS NIH HHS R35 GM118078
6 · The paper itself

Abstract

The fast Fourier transform (FFT) sampling algorithm has been used with success in application to protein-protein docking and for protein mapping, the latter docking a variety of small organic molecules for the identification of binding hot spots on the target protein. Here we explore the local rather than global usage of the FFT sampling approach in docking applications. If the global FFT based search yields a near-native cluster of docked structures for a protein complex, then focused resampling of the cluster generally leads to a substantial increase in the number of conformations close to the native structure. In protein mapping, focused resampling of the selected hot spot regions generally reveals further hot spots that, while not as strong as the primary hot spots, also contribute to ligand binding. The detection of additional ligand binding regions is shown by the improved overlap between hot spots and bound ligands.

Indexed as

Fourier AnalysisMolecular Docking SimulationAlgorithmsLigandsProtein ConformationProteinsLigandsProteinsbinding hot spotsfast Fourier transformprotein mappingprotein-protein dockingsystematic sampling

Identifiers

PMID26837000
PMCPMC4814242

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.