Evidence map›Paper›PMID 37556857›Full record

ArticleJournal of chemical information and modeling2023

GENERA: A Combined Genetic/Deep-Learning Algorithm for Multiobjective Target-Oriented De Novo Design.

Giuseppe Lamanna, Pietro Delre, Gilles Marcou, Michele Saviano, Alexandre Varnek, Dragos Horvath, Giuseppe Felice Mangiatordi

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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Mothra: MultiobjectiveJournal of chemical information and modeling · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. 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.

Giuseppe LamannaChemistry Department, University of Bari "Aldo Moro", Via E. Orabona, 4, I-70125 Bari, Italy.ORCID 0009-0004-5061-2010
Pietro DelreCNR - Institute of Crystallography, Via Amendola 122/o, 70126 Bari, Italy.ORCID 0000-0002-4523-2759
Gilles MarcouLaboratoire de Chémoinformatique UMR7140, 4 rue Blaise Pascal, 67000 Strasbourg, France.ORCID 0000-0003-1676-6708
Michele SavianoCNR - Institute of Crystallography, Via Vivaldi 43, 81100 Caserta, Italy.ORCID 0000-0001-5086-2459
Alexandre VarnekLaboratoire de Chémoinformatique UMR7140, 4 rue Blaise Pascal, 67000 Strasbourg, France.ORCID 0000-0003-1886-925X
Dragos HorvathLaboratoire de Chémoinformatique UMR7140, 4 rue Blaise Pascal, 67000 Strasbourg, France.ORCID 0000-0003-0173-5714
Giuseppe Felice MangiatordiCNR - Institute of Crystallography, Via Amendola 122/o, 70126 Bari, Italy.ORCID 0000-0003-4042-2841

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a new de novo design algorithm called

Indexed as

COVID-19Deep LearningAlgorithmsDrug DesignHumans

Identifiers

PMID37556857
PMCPMC10466378

What OpenQuestion holds

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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.