Evidence map›Paper›PMID 32884207›Full record

ArticleBioinformation2020

From sequence analysis of DPP-4 to molecular docking based searching of its inhibitors.

Awad Saeed Alsamghan, Afaf S Alwabli, Mohammed Abadi, Safar A Alsaleem, Dalia Mohammed Anbari, Amani Saleh Alomari, Othman Alzahrani, Qamre Alam, Mohammed Tarique

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformation, 2020. 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
0.2field-weighted citation impact, top 48% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

9 authors at 1 institution in 1 country.

Awad Saeed AlsamghanDepartment of Family and Community Medicine, College of Medicine, King Khalid University, Abha, KSA-61421.
Afaf S AlwabliDepartment of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Mohammed AbadiDepartment of Family and Community Medicine, College of Medicine, King Khalid University, Abha, KSA-61421.
Safar A AlsaleemDepartment of Family and Community Medicine, College of Medicine, King Khalid University, Abha, KSA-61421.
Dalia Mohammed AnbariDepartment of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Amani Saleh AlomariDepartment of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Kingdom of Saudi Arabia.
Othman AlzahraniDepartment of Biology, Faculty of Sciences, University of Tabuk, Tabuk 71491, Kingdom of Saudi Arabia.
Qamre AlamMedical Genomics Research Department, King Abdullah International Medical Research Center, King Saud bin Abdulaziz University for Health Sciences, Ministry of National Guard Health Affairs, Riyadh, Kingdom of Saudi Arabia.
Mohammed TariqueCenter for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi-110025, India.
Jamia Millia Islamia · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Literature data suggests that Dipeptidyl peptidase-4 (DPP-4) is a potential target for type 2 Diabetes Mellitus. Therefore, it is of interest to identify new DPP-4 inhibitors using molecular docking analysis. We document compounds such as STOCK1N-98884, STOCK1N-98881, and STOCK1N-98866 with optimal binding features with DPP-4 from the ligand database at https://www.ibscreen.com/ for further consideration.

Indexed as

diabetesdocking analysisDPP-4GLP-1inhibitor

Identifiers

PMID32884207
PMCPMC7452749
OpenAlexW3042565727

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.