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Journal of Chemical Information and Modeling|February 17, 2007
Introduction of an information-theoretic method to predict recovery rates of active compounds for Bayesian in silico screening: theory and screening trialsMartin Vogt, Jürgen BajorathMethods in Molecular Biology (Clifton, N.J.)|September 15, 2010
Predicting the performance of fingerprint similarity searchingMartin Vogt, Jürgen BajorathJournal of Chemical Information and Modeling|September 7, 2011
Introduction of the conditional correlated Bernoulli model of similarity value distributions and its application to the prospective prediction of fingerprint search performanceMartin Vogt, Jürgen BajorathJournal of Chemical Information and Modeling|July 2, 2013
Similarity searching for potent compounds using feature selectionMartin Vogt, Jürgen BajorathBioorganic & Medicinal Chemistry|April 10, 2012
Chemoinformatics: a view of the field and current trends in method developmentMartin Vogt, Jürgen BajorathF1000Research|March 18, 2020
ccbmlib - a Python package for modeling Tanimoto similarity value distributionsMartin Vogt, Jürgen BajorathChemmedchem|June 15, 2007
Introduction of a generally applicable method to estimate retrieval of active molecules for similarity searching using fingerprintsMartin Vogt, Jürgen BajorathJournal of Chemical Information and Modeling|January 31, 2008
Bayesian similarity searching in high-dimensional descriptor spaces combined with Kullback-Leibler descriptor divergence analysisMartin Vogt, Jürgen BajorathChemical Biology & Drug Design|December 12, 2007
Bayesian screening for active compounds in high-dimensional chemical spaces combining property descriptors and molecular fingerprintsMartin Vogt, Jürgen BajorathMolecular Informatics|December 30, 2016
Modeling Tanimoto Similarity Value Distributions and Predicting Search ResultsMartin Vogt, Jürgen BajorathPageof 56