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PlasticDB: a database of microorganisms and proteins linked to plastic biodegradation

Database 2022 229 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 55 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Olga Pantos, Victor Gambarini, Gavin Lear, Olga Pantos, Olga Pantos, Gavin Lear, Joanne M. Kingsbury, Joanne M. Kingsbury, Gavin Lear, Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Joanne M. Kingsbury, Olga Pantos, Louise Weaver Joanne M. Kingsbury, Gavin Lear, Joanne M. Kingsbury, Olga Pantos, Louise Weaver Victor Gambarini, Olga Pantos, Louise Weaver Olga Pantos, Victor Gambarini, Olga Pantos, Louise Weaver Olga Pantos, Olga Pantos, Olga Pantos, Olga Pantos, Kim M. Handley, Gavin Lear, Joanne M. Kingsbury, Louise Weaver Gavin Lear, Olga Pantos, Joanne M. Kingsbury, Louise Weaver Louise Weaver Louise Weaver Olga Pantos, Gavin Lear, Gavin Lear, Victor Gambarini, Olga Pantos, Olga Pantos, Kim M. Handley, Kim M. Handley, Olga Pantos, Gavin Lear, Gavin Lear, Olga Pantos, Louise Weaver Louise Weaver

Summary

Researchers created PlasticDB, a publicly available database cataloging microorganisms and proteins linked to plastic biodegradation. The tool allows scientists to search for plastic-degrading species and analyze their own datasets for potential biodegradation pathways, helping advance research into biological solutions for plastic waste.

The number of publications reporting putative plastic-degrading microbes and proteins is continuously increasing, necessitating the compilation of these data and the development of tools to facilitate their analysis. We developed the PlasticDB web application to address this need, which comprises a database of microorganisms and proteins reported to biodegrade plastics. Associated metadata, such as the techniques utilized to assess biodegradation, the environmental source of microbial isolate and presumed thermophilic traits are also reported. Proteins in the database are categorized according to the plastic type they are reported to degrade. Each protein structure has been predicted in silico and can be visualized or downloaded for further investigation. In addition to standard database functionalities, such as searching, filtering and retrieving database records, we implemented several analytical tools that accept inputs, including gene, genome, metagenome, transcriptomes, metatranscriptomes and taxa table data. Users can now analyze their datasets for the presence of putative plastic-degrading species and potential plastic-degrading proteins and pathways from those species. Database URL:http://plasticdb.org.

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