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KNIME GmbH rdkit fingerprint knime node
Rdkit Fingerprint Knime Node, supplied by KNIME GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rdkit+node/rdkit+fingerprint+node/pm39628086-86-10-12
Average 90 stars, based on 1 article reviews
rdkit fingerprint knime node - by Bioz Stars, 2026-11
90/100 stars

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Article Title: Evaluation of the standard battery of in vitro genotoxicity tests to predict in vivo genotoxicity through mathematical modeling: A report from the 8th International Workshop on Genotoxicity Testing.
Article Snippet: Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands National Institute of Technology and Evaluation, Tokyo, Japan European Commission, Joint Research Centre (JRC), Ispra, Italy Merck & Co., Inc., Rahway, New Jersey, USA Institute for Protein Research, Osaka University, Osaka, Japan BASF SE, Ludwigshafen, Germany Kirkland Consulting, Tadcaster, UK Chugai Pharmaceutical Co., Ltd., Translational Research Division, Yokohama, Japan City St George’s, University of London, London, UK Health Canada, Ottawa, Canada Litron Laboratories, Rochester, New York, USA Procter & Gamble, Mason, Ohio, USA

Article Title: Isometric Stratified Ensembles: A Partial and Incremental Adaptive Applicability Domain and Consensus-Based Classification Strategy for Highly Imbalanced Data Sets with Application to Colloidal Aggregation.
Article Snippet: Partial and incremental stratification analysis of a quantitative structure-interference relationship (QSIR) is a novel strategy intended to categorize classification provided by machine learning techniques.. It is based on a 2D mapping of classification statistics onto two categorical axes: the degree of consensus and level of applicability domain.. An internal cross-validation set allows to determine the statistical performance of the ensemble at every 2D map stratum and hence to define isometric local performance regions with the aim of better hit ranking and selection.

Article Title: AMALPHI: A Machine Learning Platform for Predicting Drug-Induced PhospholIpidosis
Article Snippet: − AtomPair fingerprints (AP—1024 bits) calculated by the RDKit Fingerprint KNIME node were used to represent each chemical structure belonging to PLD-DB.

Article Title: Large-Scale Modeling of Multispecies Acute Toxicity End Points Using Consensus of Multitask Deep Learning Methods.
Article Snippet: Therefore, we decided to use only Avalon fingerprints (1024 bits)70,71 in this study and calculated them using the RDKit fingerprints node72 available in the KNIME analytics platform.73 Machine Learning Methods.


Article Title: SIGMAP: an explainable artificial intelligence tool for SIGMA-1 receptor affinity prediction
Article Snippet: Specifically, using the RDKit Fingerprint KNIME node, we computed the following fingerprints for each chemical: i) ‘Atom pairs’ (1024 bits), based on the atomic environments and shortest path separations of every atom pair in the molecule; ii) ‘Morgan’ (radius 2–1024 bits), a circular Extended-Connectivity Fingerprint (ECFP4) based on the Morgan algorithm; iii) ‘MACCS’ (166 bits), a substructure key-based fingerprint and iv) ‘Torsion’ (1024 bits), based on the topological torsion descriptor.

Article Title: Retrospective assessment of rat liver microsomal stability at NCATS: data and QSAR models
Article Snippet: In this study, Morgan fingerprints (an extended-connectivity fingerprint) containing 1024 bits with a radius of 2 were calculated using RDKit Fingerprint node in KNIME.

Generated:

Article Title: Identifying inhibitors of β-haematin formation with activity against chloroquine-resistant Plasmodium falciparum malaria parasites via virtual screening approaches
Article Snippet: .. Five types of molecular fingerprints were generated with the CDK’s Fingerprints node in KNIME. ..



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