Some stable and closed-shell structures of anticancer drugs by graph theoretical parameters.

Ali N A Koam, Ali Ahmad, Muhammad Azeem, Khalil Hadi Hakami, Kashif Elahi

Abstract read

In one paragraph

Article in Heliyon, 2023. 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

–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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Ali N A KoamDepartment of Mathematics, College of Science, Jazan University, New Campus, Jazan 2097, Saudi Arabia.

Ali AhmadDepartment of Information Technology and Security, College of Computer Science and Information Technology, Jazan University, Saudi Arabia.

Muhammad AzeemDepartment of Mathematics, Riphah International University Lahore, Pakistan.

Khalil Hadi HakamiDepartment of Mathematics, College of Science, Jazan University, New Campus, Jazan 2097, Saudi Arabia.

Kashif ElahiDeanship of E-learning and Information Technology, Jazan University, Jazan, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The eigenvalues are significant in mathematics, but they are also relevant in other domains like as chemistry, economics, and a variety of others. In terms of our research, eigenvalues are used in chemistry to represent not only the form of energy but also the various physicochemical aspects of a chemical substance. We must comprehend the connection between mathematics and chemistry. The antibonding level is related to positive eigenvalues, the bonding level is associated to negative eigenvalues, and the nonbonding level is linked to zero eigenvalues. In this work, we studied some anticancer drug structures in terms of nullity, matching number, eigenvalues of adjacency matrix, and characteristics polynomials. As a result, Carmustine, Caulibugulone-E, Aspidostomide-E anticancer drug structures are stable, closed-shell molecules since their nullity is equal to zero.

Indexed as

05C1005C5005C7005C9015A1815A9074E4074F25Anticancer drugsCharacteristics polynomialsCyclomatic numberEigenvaluesEnergyFirst Betti numberInertiaMatching numberNullity

Identifiers

PMID37360097

DOI10.1016/j.heliyon.2023.e17122

PMCPMC10285186

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Textmetadata

LicenceCC BY-NC-ND

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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.