Evidence map›Paper›PMID 42001228›Full record

ReviewChemMedChem2026

Metalloids: Semi as Metals yet Full of Antimicrobial Potential.

Kevin Böhm, Muhammad Jawad Nasim, Claus Jacob

Abstract readReview
In one paragraph

Review in ChemMedChem, 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

3 authors.

Kevin BöhmDivision of Bioorganic Chemistry, School of Pharmacy, Saarland University, Saarbrücken, Germany.
Muhammad Jawad NasimDivision of Bioorganic Chemistry, School of Pharmacy, Saarland University, Saarbrücken, Germany.ORCID https://orcid.org/0000-0003-2911-2607
Claus JacobDivision of Bioorganic Chemistry, School of Pharmacy, Saarland University, Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the periodic table, the metalloids boron (B), silicon (Si), germanium (Ge), arsenic (As), antimony (Sb), and tellurium (Te) demarcate a borderline between the metals and non-metals. Also referred to as semi-metals, their behaviour is indeed characterized by inorganic ions, organometallic complexes, and covalent compounds. Yet despite this unique medley of inorganic and organic molecules, reactivities and activities, and century-old traditional uses, their pharmaceutical applications today are often underestimated or associated with outright toxicity. Still, recent research has taken a closer look at (some of) these elements and has encountered an amazing assortment of natural metalloid-containing products, many with distinct antimicrobial activities. At the same time, metalloid-containing complexes have been synthesized and tested successfully as ionophores, in ligand-exchange reactions with amino acids, such as cysteine, or as redox modulators triggering oxidative stress. This has been complemented by an extensive synthesis of organic metalloid-based compounds, even including bioisosteric replacements for carbon. Today, a few metalloid compounds are still or already used in therapy; others are in clinical trials, and many more are in the pipeline, clearly demanding full attention for the semi-metals and their many colourful compounds.

Indexed as

Anti-Bacterial AgentsAntifungal AgentsAnti-Infective AgentsMetalloidsBacteriaCoordination ComplexesFungiHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsAntifungal AgentsAnti-Infective AgentsCoordination ComplexesMetalloidsantibioticantifungalantimicrobialantiparasiticmetalloids

Identifiers

PMID42001228
PMCPMC13091928

What OpenQuestion 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 OpenQuestion graph.