ReviewMini reviews in medicinal chemistry2026
A Mini Review on Metal Complexes as Potential Anti-SARS-CoV-2 Agents: Insights from Molecular Docking Studies.
Review in Mini reviews in medicinal chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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Authors and funding
3 authors.
Funding
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Abstract
There is an urgent need to develop effective antiviral treatments against SARS-CoV-2. Despite the availability of vaccines, drug discovery remains critical for combating emerging variants. Molecular docking studies have become a vital computational tool for identifying antiviral drugs capable of inhibiting different SARS-CoV-2 proteins. This review explores the role of metal complexes as promising viral inhibitors through in silico molecular docking approaches. The binding abilities of several coordination complexes derived from iron, copper, palladium, and zinc ions have been evaluated against major viral proteins such as the spike glycoprotein, RNA-dependent RNA polymerase (RdRp), and the main protease (Mpro), which are responsible for viral infection. Comparative docking studies of specific metal-based compounds with conventional antiviral drugs highlight their superior binding affinities and inhibitory potential. Furthermore, ADME (Absorption, Distribution, Metabolism, and Excretion) analyses, molecular dynamics simulations, and drugdelivery strategies are discussed to assess pharmacokinetics and therapeutic viability. Overall, this review emphasizes the importance of molecular docking in the rational design of metal complexes as antiviral agents and its relevance for developing effective therapeutic strategies to combat COVID-19.
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Registered trials
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.