Evidence map›Paper›PMID 37367376›Full record

ArticleInsects2023

iORandLigandDB: A Website for Three-Dimensional Structure Prediction of Insect Odorant Receptors and Docking with Odorants.

Shuo Jin, Kun Qian, Lin He, Zan Zhang

Open access · goldAbstract read
In one paragraph

Article in Insects, 2023. 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
0.9field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  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 at 1 institution in 1 country.

Shuo JinCollege of Plant Protection, Southwest University, Chongqing 400716, China.ORCID 0009-0001-0665-9223
Kun QianCollege of Plant Protection, Southwest University, Chongqing 400716, China.ORCID 0000-0002-6554-731X
Lin HeCollege of Plant Protection, Southwest University, Chongqing 400716, China.
Zan ZhangCollege of Plant Protection, Southwest University, Chongqing 400716, China.ORCID 0000-0001-7170-5866
Southwest University · CN

Funding

National Natural Science Foundation of China 32001962Outbound (incoming) Yu Postdoctoral Scholarship in 2018 2018LY43
6 · The paper itself

Abstract

The use of insect-specific odorants to control the behavior of insects has always been a hot spot in research on "green" control strategies of insects. However, it is generally time-consuming and laborious to explore insect-specific odorants with traditional reverse chemical ecology methods. Here, an insect odorant receptor (OR) and ligand database website (iORandLigandDB) was developed for the specific exploration of insect-specific odorants by using deep learning algorithms. The website provides a range of specific odorants before molecular biology experiments as well as the properties of ORs in closely related insects. At present, the existing three-dimensional structures of ORs in insects and the docking data with related odorants can be retrieved from the database and further analyzed.

Indexed as

databaseinsect odorant receptorsinsect-specific odorantsligand docking

Identifiers

PMID37367376
PMCPMC10299237
OpenAlexW4380988678

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.