Evidence map›Paper›PMID 37175093›Full record

ArticleMolecules (Basel, Switzerland)2023

Fundamental Aspects of Skin Cancer Drugs via Degree-Based Chemical Bonding Topological Descriptors.

Abdul Rauf Khan, Nadeem Ul Hassan Awan, Muhammad Usman Ghani, Sayed M Eldin, Hanen Karamti, Ahmed H Jawhari, Yousef E Mukhrish

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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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

15 citing papers in PubMed.

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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

7 authors.

Abdul Rauf KhanDepartment of Mathematics, Faculty of Science, Ghazi University, Dera Ghazi Khan 32200, Pakistan.ORCID 0000-0002-4709-3860
Nadeem Ul Hassan AwanDepartment of Mathematics, Faculty of Science, Ghazi University, Dera Ghazi Khan 32200, Pakistan.ORCID 0000-0002-3973-703X
Muhammad Usman GhaniInstitute of Mathematics, Khawaja Fareed University of Engineering & Information Technology, Abu Dhabi Road, Rahim Yar Khan 64200, Pakistan.ORCID 0000-0001-9916-2031
Sayed M EldinFaculty of Engineering and Technology, Future University in Egypt, New Cairo 11835, Egypt.ORCID 0000-0003-3151-9967
Hanen KaramtiDepartment of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.ORCID 0000-0001-5162-2692
Ahmed H JawhariDepartment of Chemistry, Faculty of Science, Jazan University, P.O. Box 45142, Jazan 45142, Saudi Arabia.ORCID 0000-0002-8444-8982
Yousef E MukhrishDepartment of Chemistry, Faculty of Science, Jazan University, P.O. Box 45142, Jazan 45142, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to significant advancements being made in the field of drug design, the use of topological descriptors remains the primary approach. When combined with QSPR models, descriptors illustrate a molecule's chemical properties numerically. Numbers relating to chemical composition topological indices are structures that link chemical composition to physical characteristics. This research concentrates on the analysis of curvilinear regression models and degree-based topological descriptors for thirteen skin cancer drugs. The physicochemical characteristics of the skin cancer drugs are examined while regression models are built for computed index values. An analysis is performed for several significant results based on the acquired data.

Indexed as

Antineoplastic AgentsSkin NeoplasmsHumansQuantitative Structure-Activity RelationshipAntineoplastic Agentscalculationschemical bondingdrugsQSPR modelskin cancer

Identifiers

PMID37175093
PMCPMC10179816

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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.