Literature DB >> 16523386

Circular fingerprints: flexible molecular descriptors with applications from physical chemistry to ADME.

Robert C Glem1, Andreas Bender, Catrin H Arnby, Lars Carlsson, Scott Boyer, James Smith.   

Abstract

Circular fingerprints -- the representation of molecular structures by atom neighborhoods -- have been applied to a wide range of applications, such as similarity searching and the prediction of absorption, distribution, metabolism, excretion and toxicity properties. In recent years there has been a surge in applications resulting from the superior performance of circular fingerprints in comparative studies. This feature examines the nature of circular fingerprints as well as their applications, including virtual screening, metabolism prediction and the estimation of pK((a)) constants.

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Year:  2006        PMID: 16523386

Source DB:  PubMed          Journal:  IDrugs        ISSN: 1369-7056


  49 in total

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Journal:  Assay Drug Dev Technol       Date:  2010-12       Impact factor: 1.738

Review 2.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

Review 3.  The Promise of AI for DILI Prediction.

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Journal:  Front Artif Intell       Date:  2021-04-14

4.  Improving graphs of cycles approach to structural similarity of molecules.

Authors:  Stefi Nouleho Ilemo; Dominique Barth; Olivier David; Franck Quessette; Marc-Antoine Weisser; Dimitri Watel
Journal:  PLoS One       Date:  2019-12-27       Impact factor: 3.240

Review 5.  Is it time for artificial intelligence to predict the function of natural products based on 2D-structure.

Authors:  Miaomiao Liu; Peter Karuso; Yunjiang Feng; Esther Kellenberger; Fei Liu; Can Wang; Ronald J Quinn
Journal:  Medchemcomm       Date:  2019-06-06       Impact factor: 3.597

6.  Molecular fingerprint-based artificial neural networks QSAR for ligand biological activity predictions.

Authors:  Kyaw-Zeyar Myint; Lirong Wang; Qin Tong; Xiang-Qun Xie
Journal:  Mol Pharm       Date:  2012-08-31       Impact factor: 4.939

7.  Continuous indicator fields: a novel universal type of molecular fields.

Authors:  Gleb V Sitnikov; Nelly I Zhokhova; Yury A Ustynyuk; Alexandre Varnek; Igor I Baskin
Journal:  J Comput Aided Mol Des       Date:  2014-12-02       Impact factor: 3.686

8.  A constructive approach for discovering new drug leads: Using a kernel methodology for the inverse-QSAR problem.

Authors:  William Wl Wong; Forbes J Burkowski
Journal:  J Cheminform       Date:  2009-04-28       Impact factor: 5.514

9.  Predicting phospholipidosis using machine learning.

Authors:  Robert Lowe; Robert C Glen; John B O Mitchell
Journal:  Mol Pharm       Date:  2010-09-10       Impact factor: 4.939

10.  Quantifying biogenic bias in screening libraries.

Authors:  Jérôme Hert; John J Irwin; Christian Laggner; Michael J Keiser; Brian K Shoichet
Journal:  Nat Chem Biol       Date:  2009-05-31       Impact factor: 15.040

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