{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Boobier S"],"funding":["Royal Academy of Engineering","Engineering and Physical Sciences Research Council"],"pagination":["2895-2901"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10207257"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["63(10)"],"pubmed_abstract":["An Electronic Laboratory Notebook (ELN) combining features, including data archival, collaboration tools, and green and sustainability metrics for organic chemistry, is presented. AI4Green is a web-based application, available as open-source code and free to use. It offers the core functionality of an ELN, namely, the ability to store reactions securely and share them among different members of a research team. As users plan their reactions and record them in the ELN, green and sustainable chemistry is encouraged by automatically calculating green metrics and color-coding hazards, solvents, and reaction conditions. The interface links a database constructed from data extracted from PubChem, enabling the automatic collation of information for reactions. The application's design facilitates "],"journal":["Journal of chemical information and modeling"],"pubmed_title":["AI4Green: An Open-Source ELN for Green and Sustainable Chemistry."],"pmcid":["PMC10207257"],"funding_grant_id":["CiET2021_17","EP/S035990/1"],"pubmed_authors":["Handley CM","Davies JC","Boobier S","Hirst JD","Derbenev IN"],"additional_accession":[]},"is_claimable":false,"name":"AI4Green: An Open-Source ELN for Green and Sustainable Chemistry.","description":"An Electronic Laboratory Notebook (ELN) combining features, including data archival, collaboration tools, and green and sustainability metrics for organic chemistry, is presented. AI4Green is a web-based application, available as open-source code and free to use. It offers the core functionality of an ELN, namely, the ability to store reactions securely and share them among different members of a research team. As users plan their reactions and record them in the ELN, green and sustainable chemistry is encouraged by automatically calculating green metrics and color-coding hazards, solvents, and reaction conditions. The interface links a database constructed from data extracted from PubChem, enabling the automatic collation of information for reactions. The application's design facilitates ","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-04T09:59:08.49Z","creation":"2025-04-04T09:59:08.49Z"},"accession":"S-EPMC10207257","cross_references":{"pubmed":["37155346"],"doi":["10.1021/acs.jcim.3c00306"]}}