Evidence map›Paper›PMID 36063245›Full record

ArticleJournal of molecular modeling2022

Reactions of Ru(III)-drugs KP1019 and KP418 with guanine, 2'-deoxyguanosine and guanosine: a DFT study.

Pramod Kumar Shah, Nihar R Jena, Pradeep Kumar Shukla

Abstract read
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Article in Journal of molecular modeling, 2022. 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
0.1field-weighted citation impact, top 53% 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, 3 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

3 authors at 2 institutions in 1 country.

Pramod Kumar ShahDepartment of Physics, Assam University, Silchar, 788 011, Assam, India.
Nihar R JenaDiscipline of Natural Sciences, Indian Institute of Information Technology, Design, and Manufacturing, Dumna Airport Road, Khamaria, Jabalpur, 482005, India.
Pradeep Kumar ShuklaDepartment of Physics, Assam University, Silchar, 788 011, Assam, India. pkshukla@ymail.com.ORCID http://orcid.org/0000-0002-4664-4130
Assam University · INIndian Institute of Information Technology Design and Manufacturing Jabalpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ruthenium (Ru)-based anticancer drugs are considered to be novel alternatives of platinum-based drugs. They exhibit potent cytotoxicity against the cancer cells and hence are useful for the treatment of cancer. Herein, the density functional theory calculations in the gas phase and aqueous media are carried out to study the reactions of two Ru(III)-based drugs such as KP1019 and KP418 with the N7 site of guanine (G), 2'-deoxyguanosine (dGua), and guanosine (Gua) to understand their reactivity against the DNA and RNA. All the reactions are found to be exothermic. The activation free energies and rate constants of these reactions indicate that KP1019 and KP418 would react with the dGua more readily than Gua. Hence, the binding of these drugs with the DNA would be more preferred as compared to RNA. It is further found that among these drugs, KP1019 would be more reactive than KP418 in agreement with the experimental observation. Thus, this study is expected to aid in the future development of potent anticancer drugs.

Indexed as

Antineoplastic AgentsRutheniumDeoxyguanosineDNAGuanineGuanosineIndazolesOrganometallic CompoundsRNARuthenium CompoundsAntineoplastic AgentsDeoxyguanosineDNAGuanineGuanosineIndazolesindazolium trans-(tetrachlorobis(1H-indazole)ruthenate (III))Organometallic CompoundsRNARutheniumRuthenium Compounds2′-DeoxyguanosineDFTGuanineGuanosineKP1019KP418Ruthenium anticancer drugs

Identifiers

PMID36063245
OpenAlexW4294626550

What OpenQuestion holds

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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.