Evidence map›Paper›PMID 38028224›Full record

ArticleSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society2023

3D QSAR study on substituted 1, 2, 4 triazole derivatives as anticancer agents by kNN MFA approach.

Shailaja P Desai, S K Mohite, Saad Alobid, M G Saralaya, Ashwini S Patil, Kuntal Das, Moneer E Almadani, Syed Arif Hussain, Bader Hussain Alamer, Ebtesam Abdulrahman Jibreel and 2 more

Abstract read
In one paragraph

Article in Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Shailaja P DesaiAnnasaheb Dange College of Pharmacy, Ashta, Maharashtra, Walwa, Sangli 416301, India.
S K MohiteDepartment of Pharmaceutical Chemistry, Rajarambapu College of Pharmacy, Kasegaon, Sangli, Maharashtra 415409, India.
Saad AlobidDepartment of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia.
M G SaralayaAnnasaheb Dange College of Pharmacy, Ashta, Maharashtra, Walwa, Sangli 416301, India.
Ashwini S PatilAnnasaheb Dange College of Pharmacy, Ashta, Maharashtra, Walwa, Sangli 416301, India.
Kuntal DasDepartment of Pharmacognosy, Mallige College of Pharmacy, #71 Silvepura Chikkabanavara Post, Bangalore 90, India.
Moneer E AlmadaniDepartment of Clinical Medicine, College of Medicine, AlMaarefa University, Dariyah, Riyadh 13713, Saudi Arabia.
Syed Arif HussainRespiratory Care Department, College of Applied Sciences, AlMaarefa University, Dariyah 13713, Riyadh, Saudi Arabia.
Bader Hussain AlamerDepartment of Emergency Medical Services, College of Applied Sciences, AlMaarefa University, Riyadh, Saudi Arabia.
Ebtesam Abdulrahman JibreelDepartment of Nursing, College of Applied Sciences, AlMaarefa University, Dariyah 13713, Riyadh, Saudi Arabia.
Ali Ibrahim AlmoteerDepartment of Pharmacy, King Saud University Medical City, Riyadh, Saudi Arabia.
Syed Mohammed Basheeruddin AsdaqDepartment of Pharmacy Practice, College of Pharmacy, AlMaarefa University, Dariyah 13713, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Researchers have recently focused on the biological and synthetic effects of 1, 2, and 4-triazole fused heterocyclic molecules because they have tremendous medicinal value. The objective of the present study was to carry out the 3D QSAR evaluation on the substituted 1,2, and 4 triazole derivatives for anticancer potential using k-Nearest Neighbor-Molecular Field Analysis (kNN-MFA) method. Methods: Using the molecular design suite, a three-dimensional quantitative structure-activity relationship (3D-QSAR) analysis was undertaken on a series of 4-amino-5-(pyridin3yl)-4H-1, 2, and 4-triazole-3-thiol anticancer drugs (Vlife MDS). This study used a genetic algorithm and a manual selection approach on 20 substituted 1, 2, and 4-triazole derivatives. Based on the genetic algorithm (GA), the 3D-QSAR model was generated. Statistical significance and predictive capacity were evaluated using internal and external validation. Results: The most significant model has a correlation coefficient of 0.9334 (squared correlation coefficient r2 = 0.8713), showing that biological activity and descriptors have a strong relationship. The model exhibited internal predictivity of 74.45 percent (q2 = 0.2129), external predictivity of 81.09 percent (pred r2 = 0.8417), and the smallest error term for the predictive correlation coefficient (pred r2se = 0.1255). The model revealed steric (S 1047--0.0780--0.0451S 927) and electrostatic (E 1002) data points that contribute remarkably to anticancer activity. A molecular field study demonstrates a link between the structural features of substituted triazole derivatives and their activities. Conclusion: The good-to-moderate anticancer potential of compounds confirms the significant pharmacological role of 1,2,4-triazole derivatives. These results could lead to the identification of potential chemical compounds with optimal anticancer activity and minimal side effects.

Indexed as

1,2,4-Triazole3D-QSARAnticancer agentsGenetic algorithm

Identifiers

PMID38028224
PMCPMC10661185

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Registered trials

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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.