Evidence map›Paper›PMID 32411671›Full record

ReviewFrontiers in chemistry2020

Structure-Based Virtual Screening: From Classical to Artificial Intelligence.

Eduardo Habib Bechelane Maia, Letícia Cristina Assis, Tiago Alves de Oliveira, Alisson Marques da Silva, Alex Gutterres Taranto

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 238 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
238citing papers in PubMed, 2 pooled it
46.5field-weighted citation impact, top 1% of its field
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

238 citing papers in PubMed, 2 syntheses or guidelines pooled it, 552 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  5. Review
  6. Article
  7. Article
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  11. Bridging between Structure-Based and Data-Driven Affinity Prediction.Journal of chemical information and modeling · 2026
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Quantum computing applications in drug discovery.Briefings in bioinformatics · 2026
    Review
  18. Article
  19. Article
  20. Article

178 more citing papers are in PubMed but not listed here.

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

5 authors at 2 institutions in 1 country.

Eduardo Habib Bechelane MaiaLaboratory of Pharmaceutical Medicinal Chemistry, Federal University of São João Del Rei, Divinópolis, Brazil.
Letícia Cristina AssisLaboratory of Pharmaceutical Medicinal Chemistry, Federal University of São João Del Rei, Divinópolis, Brazil.
Tiago Alves de OliveiraFederal Center for Technological Education of Minas Gerais-CEFET-MG, Belo Horizonte, Brazil.
Alisson Marques da SilvaFederal Center for Technological Education of Minas Gerais-CEFET-MG, Belo Horizonte, Brazil.
Alex Gutterres TarantoLaboratory of Pharmaceutical Medicinal Chemistry, Federal University of São João Del Rei, Divinópolis, Brazil.
Federal University of São João del-Rei · BRFederal Center for Technological Education of Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The drug development process is a major challenge in the pharmaceutical industry since it takes a substantial amount of time and money to move through all the phases of developing of a new drug. One extensively used method to minimize the cost and time for the drug development process is computer-aided drug design (CADD). CADD allows better focusing on experiments, which can reduce the time and cost involved in researching new drugs. In this context, structure-based virtual screening (SBVS) is robust and useful and is one of the most promising

Indexed as

computer-aided drug designconsensus virtual screeninghomology modelingSBVSscoring functions

Identifiers

PMID32411671
PMCPMC7200080
OpenAlexW3023126697

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.