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Molecular docking and metagenomics assisted mitigation of microplastic pollution

Chemosphere 2024 12 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 60 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Kiran Bala Dinesh Parida, Dinesh Parida, Dinesh Parida, Dinesh Parida, Dinesh Parida, Konica Katare, Dinesh Parida, Konica Katare, Konica Katare, R. Nogueira, R. Nogueira, Konica Katare, Kiran Bala Kiran Bala R. Nogueira, Kiran Bala R. Nogueira, Atmaadeep Ganguly, Atmaadeep Ganguly, Kiran Bala R. Nogueira, Kiran Bala Kiran Bala Disha Chakraborty, Oisi Konar, Oisi Konar, R. Nogueira, R. Nogueira, Kiran Bala

Summary

This review examines how metagenomics (studying DNA from environmental microbes) and molecular docking (computer-simulated protein interactions) can help identify bacteria and enzymes capable of breaking down microplastics. By analyzing microbial communities on plastic surfaces, scientists can discover new enzymes that target specific plastic types. These biotechnology approaches offer promising paths toward developing biological solutions for cleaning up microplastic pollution in the environment.

Study Type In vitro

Microplastics, tiny, flimsy, and direct progenitors of principal and subsidiary plastics, cause environmental degradation in aquatic and terrestrial entities. Contamination concerns include irrevocable impacts, potential cytotoxicity, and negative health effects on mortals. The detection, recovery, and degradation strategies of these pollutants in various biota and ecosystems, as well as their impact on plants, animals, and humans, have been a topic of significant interest. But the natural environment is infested with several types of plastics, all having different chemical makeup, structure, shape, and origin. Plastic trash acts as a substrate for microbial growth, creating biofilms on the plastisphere surface. This colonizing microbial diversity can be glimpsed with meta-genomics, a culture-independent approach. Owing to its comprehensive description of microbial communities, genealogical evidence on unconventional biocatalysts or enzymes, genomic correlations, evolutionary profile, and function, it is being touted as one of the promising tools in identifying novel enzymes for the degradation of polymers. Additionally, computational tools such as molecular docking can predict the binding of these novel enzymes to the polymer substrate, which can be validated through in vitro conditions for its environmentally feasible applications. This review mainly deals with the exploration of metagenomics along with computational tools to provide a clearer perspective into the microbial potential in the biodegradation of microplastics. The computational tools due to their polymathic nature will be quintessential in identifying the enzyme structure, binding affinities of the prospective enzymes to the substrates, and foretelling of degradation pathways involved which can be quite instrumental in the furtherance of the plastic degradation studies.

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