Evidence map›Paper›PMID 42445524›Full record

ArticleComputational and structural biotechnology journal2026

Calibrated Weighted Rank Aggregation for Virtual Screening Independently Rediscovers Privileged Vitamin D Receptor Ligand Scaffolds.

Abylay Salimzhanov, Askar Boranbayev, Ferdinand Molnár, Siamac Fazli

Abstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Abylay SalimzhanovDepartment of Computer Science, School of Digital Sciences and Engineering, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0001-6630-585X
Askar BoranbayevDepartment of Computer Science, School of Digital Sciences and Engineering, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0003-1594-5157
Ferdinand MolnárDepartment of Biology, School of Sciences and Humanities, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0001-9008-4233
Siamac FazliDepartment of Computer Science, School of Digital Sciences and Engineering, Nazarbayev University, Astana, Kazakhstan.ORCID https://orcid.org/0000-0003-3397-0647

Funding

FDA HHS U18 FD004734FDA HHS U18 FD004745
6 · The paper itself

Abstract

Computational drug discovery relies on virtual screening to prioritize a small number of compounds for experimental testing, yet combining heterogeneous

Identifiers

PMID42445524
PMCPMC13358164

What OpenQuestion holds

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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.