Evidence map›Paper›PMID 38052452›Full record

ArticleJournal of chemical information and modeling2023

Scipion-Chem: An Open Platform for Virtual Drug Screening.

Daniel Del Hoyo, Martin Salinas, Alba Lomas, Eugenia Ulzurrun, Nuria E Campillo, Carlos Oscar Sorzano

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Daniel Del HoyoNational Center of Biotechnology (CNB-CSIC), Madrid 28049, Spain.ORCID 0009-0005-3321-1810
Martin SalinasNational Center of Biotechnology (CNB-CSIC), Madrid 28049, Spain.
Alba LomasNational Center of Biotechnology (CNB-CSIC), Madrid 28049, Spain.
Eugenia UlzurrunCenter for Biological Research (CIB-CSIC), Madrid 28040, Spain.
Nuria E CampilloCenter for Biological Research (CIB-CSIC), Madrid 28040, Spain.ORCID 0000-0002-9948-2665
Carlos Oscar SorzanoNational Center of Biotechnology (CNB-CSIC), Madrid 28049, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Virtual drug screening (VDS) tackles the problem of drug discovery by computationally reducing the number of potential pharmacological molecules that need to be tested experimentally to find a new drug. To do so, several approaches have been developed through the years, typically focusing on either the physicochemical characteristics of the receptor structure (structure-based virtual screening) or those of the potential ligands (ligand-based virtual screening). Scipion is a workflow engine well suited for structural studies of biological macromolecules. Here, we present Scipion-chem, a new branch oriented to VDS. A total of 11 plugins have already been integrated from the most common programs used in the field. They can be used through the Scipion graphical user interface to execute and analyze typical VDS tasks. In addition, we have developed several consensus protocols that combine results from the different integrated programs to generate more robust predictions. Backstage, Scipion also facilitates the interoperability of those different software packages while tracking all of the intermediate files, parameters, and user decisions. In summary, in this article, we present Scipion-chem. This accessible, interoperable, and traceable platform provides the user with all of the tools to carry out a successful VDS workflow. Scipion-chem is openly available at https://github.com/scipion-chem.

Indexed as

Drug DiscoverySoftwareDrug Evaluation, PreclinicalLigandsLigands

Identifiers

PMID38052452
PMCPMC10751785

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.