Evidence map›Paper›PMID 28130228›Full record

ArticleBioinformatics (Oxford, England)2017

Ligandbook: an online repository for small and drug-like molecule force field parameters.

Jan Domanski, Oliver Beckstein, Bogdan I Iorga

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. 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. Review
  3. Article
  4. How Do Molecular Dynamics Data Complement Static Structural Data of GPCRs.International journal of molecular sciences · 2020
    Review
  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

3 authors.

Jan DomanskiDepartment of Biochemistry, University of Oxford, Oxford, UK.
Oliver BecksteinDepartment of Physics, Arizona State University, Tempe, AZ, USA.
Bogdan I IorgaInstitut de Chimie des Substances Naturelles, CNRS UPR 2301, Université Paris-Saclay, Labex LERMIT, Gif-sur-Yvette, France.

Funding

Molecular mechanisms of secondary active transportersR01GM118772 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BECKSTEIN, OLIVER · 2016 to 2020
$1.5M
NIGMS NIH HHS R01 GM118772Wellcome Trust
6 · The paper itself

Abstract

summaryLigandbook is a public database and archive for force field parameters of small and drug-like molecules. It is a repository for parameter sets that are part of published work but are not easily available to the community otherwise. Parameter sets can be downloaded and immediately used in molecular dynamics simulations. The sets of parameters are versioned with full histories and carry unique identifiers to facilitate reproducible research. Text-based search on rich metadata and chemical substructure search allow precise identification of desired compounds or functional groups. Ligandbook enables the rapid set up of reproducible molecular dynamics simulations of ligands and protein-ligand complexes. AVAILABILITY AND IMPLEMENTATION: Ligandbook is available online at https://ligandbook.org and supports all modern browsers. Parameters can be searched and downloaded without registration, including access through a programmatic RESTful API. Deposition of files requires free user registration. Ligandbook is implemented in the PHP Symfony2 framework with TCL scripts using the CACTVS toolkit. CONTACT: oliver.beckstein@asu.edu or bogdan.iorga@cnrs.fr ; contact@ligandbook.org . SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

Databases, FactualLigandsMetadataMolecular Dynamics SimulationSoftwareLigands

Identifiers

PMID28130228
PMCPMC5447236

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.