Evidence mapPaperPMID 42592091Full record

ReviewBioinorganic chemistry and applications2026

ADMET Profiling of the Metallodrugs: A Comparative Review of Platinum, Palladium, Gold, Ruthenium, Copper, and Zinc Anticancer Complexes.

Meshack Kotonto Tini, John Karanja, Lawrence Odiwuor Omwai, Daniel Onunga, Njogu M Kimani, Charles O Ochieng

Abstract readReview
In one paragraph

Review in Bioinorganic chemistry and applications, 2026. 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

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.

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

6 authors.

Meshack Kotonto TiniDepartment of Chemistry, Maseno University, Kisumu, Kenya, maseno.ac.ke.ORCID https://orcid.org/0009-0002-0518-8471
John KaranjaDepartment of Chemistry, Maseno University, Kisumu, Kenya, maseno.ac.ke.ORCID https://orcid.org/0009-0004-4724-7227
Lawrence Odiwuor OmwaiDepartment of Chemistry, Maseno University, Kisumu, Kenya, maseno.ac.ke.ORCID https://orcid.org/0009-0009-3872-8439
Daniel OnungaDepartment of Chemistry, Maseno University, Kisumu, Kenya, maseno.ac.ke.ORCID https://orcid.org/0000-0002-4350-0668
Njogu M KimaniDepartment of Physical Sciences, University of Embu, Embu, Kenya, embuni.ac.ke.ORCID https://orcid.org/0000-0002-5171-1940
Charles O OchiengDepartment of Chemistry, Maseno University, Kisumu, Kenya, maseno.ac.ke.ORCID https://orcid.org/0000-0002-2624-5183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The successful clinical use of metal-based anticancer agents depends heavily on a detailed understanding of their absorption, distribution, metabolism, excretion, and toxicology (ADMET) profiles. This review evaluates the ADMET properties of anticancer complexes involving platinum, palladium, gold, ruthenium, copper, and zinc. Unlike traditional organic medicines, the ADMET processes of these compounds are often complex and nonlinear, due to their unique coordination chemistry, ligand-exchange kinetics, and dynamic speciation changes. The review highlights how structural differences in metal analogs influence their pharmacokinetics, systemic disposition, and distinct toxicity profiles. Ultimately, gaining a thorough understanding of these ADMET nuances is vital for designing next-generation metallodrugs with optimized tissue distribution, minimal systemic toxicity, and improved therapeutic effectiveness.

Indexed as

ADMET profilinganticancer agentsessential metalsmetallodrugsnoble metals

Identifiers

PMID42592091
PMCPMC13462909

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.