Evidence map›Paper›PMID 40700252›Full record

ArticleClocks & sleep2025

ChronobioticsDB: The Database of Drugs and Compounds Modulating Circadian Rhythms.

Ilya A Solovev, Denis A Golubev, Arina I Yagovkina, Nadezhda O Kotelina

Abstract read
In one paragraph

Article in Clocks & sleep, 2025. 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. Review
  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

4 authors.

Ilya A SolovevLaboratory of Translational Bioinformatics and Systems Biology, Medical Institute, Pitirim Sorokin Syktyvkar State University, Oktyabrsky Prosp. 55, 167000 Syktyvkar, Russia.ORCID 0000-0002-1038-2271
Denis A GolubevLaboratory of Translational Bioinformatics and Systems Biology, Medical Institute, Pitirim Sorokin Syktyvkar State University, Oktyabrsky Prosp. 55, 167000 Syktyvkar, Russia.ORCID 0000-0003-0570-8211
Arina I YagovkinaLaboratory of Translational Bioinformatics and Systems Biology, Medical Institute, Pitirim Sorokin Syktyvkar State University, Oktyabrsky Prosp. 55, 167000 Syktyvkar, Russia.
Nadezhda O KotelinaLaboratory of Translational Bioinformatics and Systems Biology, Medical Institute, Pitirim Sorokin Syktyvkar State University, Oktyabrsky Prosp. 55, 167000 Syktyvkar, Russia.

Funding

Russian Science Foundation 24-75-00108
6 · The paper itself

Abstract

Chronobiotics represent a pharmacologically diverse group of substances, encompassing both experimental compounds and those utilized in clinical practice, which possess the capacity to modulate the parameters of circadian rhythms. These substances influence fluctuations in various physiological and biochemical processes, including the expression of core "clock" genes in model organisms and cell cultures, as well as the expression of clock-controlled genes. Despite their chemical heterogeneity, chronobiotics share the common ability to alter circadian dynamics. The concept of chronobiotic drugs has been recognized for over five decades, dating back to the discovery and detailed clinical characterization of the hormone melatonin. However, the field remains fragmented, lacking a unified classification system for these pharmacological agents. The current categorizations include natural chrononutrients, synthetic targeted circadian rhythm modulators, hypnotics, and chronobiotic hormones, yet no comprehensive repository of knowledge on chronobiotics exists. Addressing this gap, the development of the world's first curated and continuously updated database of chronobiotic drugs-circadian rhythm modulators-accessible via the global Internet, represents a critical and timely objective for the fields of chronobiology, chronomedicine, and pharmacoinformatics/bioinformatics. The primary objective of this study is to construct a relational database, ChronobioticsDB, utilizing the Django framework and PostGreSQL as the database management system. The database will be accessible through a dedicated web interface and will be filled in with data on chronobiotics extracted and manually annotated from PubMed, Google Scholar, Scopus, and Web of Science articles. Each entry in the database will comprise a detailed compound card, featuring links to primary data sources, a molecular structure image, the compound's chemical formula in machine-readable SMILES format, and its name according to IUPAC nomenclature. To enhance the depth and accuracy of the information, the database will be synchronized with external repositories such as ChemSpider, DrugBank, Chembl, ChEBI, Engage, UniProt, and PubChem. This integration will ensure the inclusion of up-to-date and comprehensive data on each chronobiotic. Furthermore, the biological and pharmacological relevance of the database will be augmented through synchronization with additional resources, including the FDA. In cases of overlapping data, compound cards will highlight the unique properties of each chronobiotic, thereby providing a robust and multifaceted resource for researchers and practitioners in the field.

Indexed as

chronobioticschronodisruptorschronomedicinecircadian rhythm modulatorsclock modulatorscore clock pharmacologydatabasedrugs repurposing

Identifiers

PMID40700252
PMCPMC12286229

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.