Evidence map›Paper›PMID 32548091›Full record

ArticleFrontiers in chemistry2020

Maurice Michel, Evert J Homan, Elisée Wiita, Kia Pedersen, Ingrid Almlöf, Anna-Lena Gustavsson, Thomas Lundbäck, Thomas Helleday, Ulrika Warpman Berglund

Abstract read
In one paragraph

Article 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 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  6. Review
  7. Antileishmanial Activity and In Silico Molecular Docking Studies ofTropical medicine and infectious disease · 2023
    Article
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  9. Review
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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

9 authors.

Maurice MichelScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Evert J HomanScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Elisée WiitaScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Kia PedersenScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Ingrid AlmlöfScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Anna-Lena GustavssonChemical Biology Consortium Sweden (CBCS), Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Thomas LundbäckChemical Biology Consortium Sweden (CBCS), Science for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
Thomas HelledayScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Ulrika Warpman BerglundScience for Life Laboratory, Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational chemistry has now been widely accepted as a useful tool for shortening lead times in early drug discovery. When selecting new potential drug targets, it is important to assess the likelihood of finding suitable starting points for lead generation before pursuing costly high-throughput screening campaigns. By exploiting available high-resolution crystal structures, an

Indexed as

drug discoverydruggabilitymalachite greennudixworkflow

Identifiers

PMID32548091
PMCPMC7274155

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.