@article{rogers_extended-connectivity_2010,
	title = {Extended-{Connectivity} {Fingerprints}},
	volume = {50},
	issn = {1549-9596},
	url = {https://doi.org/10.1021/ci100050t},
	doi = {10.1021/ci100050t},
	abstract = {Extended-connectivity fingerprints (ECFPs) are a novel class of topological fingerprints for molecular characterization. Historically, topological fingerprints were developed for substructure and similarity searching. ECFPs were developed specifically for structure−activity modeling. ECFPs are circular fingerprints with a number of useful qualities: they can be very rapidly calculated; they are not predefined and can represent an essentially infinite number of different molecular features (including stereochemical information); their features represent the presence of particular substructures, allowing easier interpretation of analysis results; and the ECFP algorithm can be tailored to generate different types of circular fingerprints, optimized for different uses. While the use of ECFPs has been widely adopted and validated, a description of their implementation has not previously been presented in the literature.},
	number = {5},
	urldate = {2024-02-17},
	journal = {Journal of Chemical Information and Modeling},
	author = {Rogers, David and Hahn, Mathew},
	month = may,
	year = {2010},
	note = {Publisher: American Chemical Society},
	pages = {742--754},
}

{"_id":"hkqGLPbtx74EuPLoz","bibbaseid":"rogers-hahn-extendedconnectivityfingerprints-2010","authorIDs":[],"author_short":["Rogers, D.","Hahn, M."],"bibdata":{"bibtype":"article","type":"article","title":"Extended-Connectivity Fingerprints","volume":"50","issn":"1549-9596","url":"https://doi.org/10.1021/ci100050t","doi":"10.1021/ci100050t","abstract":"Extended-connectivity fingerprints (ECFPs) are a novel class of topological fingerprints for molecular characterization. Historically, topological fingerprints were developed for substructure and similarity searching. ECFPs were developed specifically for structure−activity modeling. ECFPs are circular fingerprints with a number of useful qualities: they can be very rapidly calculated; they are not predefined and can represent an essentially infinite number of different molecular features (including stereochemical information); their features represent the presence of particular substructures, allowing easier interpretation of analysis results; and the ECFP algorithm can be tailored to generate different types of circular fingerprints, optimized for different uses. While the use of ECFPs has been widely adopted and validated, a description of their implementation has not previously been presented in the literature.","number":"5","urldate":"2024-02-17","journal":"Journal of Chemical Information and Modeling","author":[{"propositions":[],"lastnames":["Rogers"],"firstnames":["David"],"suffixes":[]},{"propositions":[],"lastnames":["Hahn"],"firstnames":["Mathew"],"suffixes":[]}],"month":"May","year":"2010","note":"Publisher: American Chemical Society","pages":"742–754","bibtex":"@article{rogers_extended-connectivity_2010,\n\ttitle = {Extended-{Connectivity} {Fingerprints}},\n\tvolume = {50},\n\tissn = {1549-9596},\n\turl = {https://doi.org/10.1021/ci100050t},\n\tdoi = {10.1021/ci100050t},\n\tabstract = {Extended-connectivity fingerprints (ECFPs) are a novel class of topological fingerprints for molecular characterization. Historically, topological fingerprints were developed for substructure and similarity searching. ECFPs were developed specifically for structure−activity modeling. ECFPs are circular fingerprints with a number of useful qualities: they can be very rapidly calculated; they are not predefined and can represent an essentially infinite number of different molecular features (including stereochemical information); their features represent the presence of particular substructures, allowing easier interpretation of analysis results; and the ECFP algorithm can be tailored to generate different types of circular fingerprints, optimized for different uses. While the use of ECFPs has been widely adopted and validated, a description of their implementation has not previously been presented in the literature.},\n\tnumber = {5},\n\turldate = {2024-02-17},\n\tjournal = {Journal of Chemical Information and Modeling},\n\tauthor = {Rogers, David and Hahn, Mathew},\n\tmonth = may,\n\tyear = {2010},\n\tnote = {Publisher: American Chemical Society},\n\tpages = {742--754},\n}\n\n","author_short":["Rogers, D.","Hahn, M."],"key":"rogers_extended-connectivity_2010","id":"rogers_extended-connectivity_2010","bibbaseid":"rogers-hahn-extendedconnectivityfingerprints-2010","role":"author","urls":{"Paper":"https://doi.org/10.1021/ci100050t"},"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://bibbase.org/network/files/H3SAh2KLDwd2dQGtm","creationDate":"2019-11-19T16:50:42.584Z","downloads":0,"keywords":[],"search_terms":["extended","connectivity","fingerprints","rogers","hahn"],"title":"Extended-Connectivity Fingerprints","year":2010,"dataSources":["C5FtkvWWggFfMJTFX","64RFiGdCa5JLg5kLH","5kE2CnMg6u7MRd5WC","Bh4soD3jyHYoSp98p"]}