Evidence map›Paper›PMID 30669929›Full record

ArticleAutophagy2019

AutophagySMDB: a curated database of small molecules that modulate protein targets regulating autophagy.

Ravikanth Nanduri, Rashi Kalra, Ella Bhagyaraj, Anuja P Chacko, Nancy Ahuja, Drishti Tiwari, Sumit Kumar, Monika Jain, Raman Parkesh, Pawan Gupta

Open access · bronzeAbstract read
In one paragraph

Article in Autophagy, 2019. 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
2.1field-weighted citation impact, top 13% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Autophagy3D: a comprehensive autophagy structure database.Database : the journal of biological databases and curation · 2024
    Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Small molecule probes for targeting autophagy.Nature chemical biology · 2021
    Review
  12. Review
  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

10 authors at 1 institution in 1 country.

Ravikanth Nanduria Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Rashi Kalraa Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Ella Bhagyaraja Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Anuja P Chackoa Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Nancy Ahujaa Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Drishti Tiwaria Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Sumit Kumara Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Monika Jaina Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Raman Parkesha Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Pawan Guptaa Department of Molecular Biology , CSIR-Institute of Microbial Technology , Chandigarh , India.
Institute of Microbial Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macroautophagy/autophagy is a complex self-degradative mechanism responsible for clearance of non functional organelles and proteins. A range of factors influences the autophagic process, and disruptions in autophagy-related mechanisms lead to disease states, and further exacerbation of disease. Despite in-depth research into autophagy and its role in pathophysiological processes, the resources available to use it for therapeutic purposes are currently lacking. Herein we report the Autophagy Small Molecule Database (AutophagySMDB; http://www.autophagysmdb.org/ ) of small molecules and their cognate protein targets that modulate autophagy. Presently, AutophagySMDB enlists ~10,000 small molecules which regulate 71 target proteins. All entries are comprised of information such as EC50 (half maximal effective concentration), IC50 (half maximal inhibitory concentration), Kd (dissociation constant) and Ki (inhibition constant), IUPAC name, canonical SMILE, structure, molecular weight, QSAR (quantitative structure activity relationship) properties such as hydrogen donor and acceptor count, aromatic rings and XlogP. AutophagySMDB is an exhaustive, cross-platform, manually curated database, where either the cognate targets for small molecule or small molecules for a target can be searched. This database is provided with different search options including text search, advanced search and structure search. Various computational tools such as tree tool, cataloging tools, and clustering tools have also been implemented for advanced analysis. Data and the tools provided in this database helps to identify common or unique scaffolds for designing novel drugs or to improve the existing ones for autophagy small molecule therapeutics. The approach to multitarget drug discovery by identifying common scaffolds has been illustrated with experimental validation.

Indexed as

Databases, PharmaceuticalAutophagyAutophagy-Related ProteinsCatalogingHumansInhibitory Concentration 50Search EngineSmall Molecule LibrariesSoftwareAutophagy-Related ProteinsSmall Molecule LibrariesAutophagyautophagySMDBdatabasedrug targetsmall molecule

Identifiers

PMID30669929
PMCPMC6613839
OpenAlexW2915037793

What OpenQuestion holds

Textmetadata
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.