Literature DB >> 23822517

An expert system to predict the forced degradation of organic molecules.

Alexis D C Parenty1, William G Button, Martin A Ott.   

Abstract

In this paper we describe Zeneth, a new expert computational system for the prediction of forced degradation pathways of organic compounds. Intermolecular reactions such as dimerization, reactions between the query compound and its degradants, as well as interactions with excipients can be predicted. The program employs a knowledge base of patterns and reasoning rules to suggest the most likely transformations under various environmental conditions relevant to the pharmaceutical industry. Building the knowledge base is facilitated by data sharing between the users.

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Year:  2013        PMID: 23822517     DOI: 10.1021/mp400083h

Source DB:  PubMed          Journal:  Mol Pharm        ISSN: 1543-8384            Impact factor:   4.939


  5 in total

1.  Recent trends in product development and regulatory issues on impurities in active pharmaceutical ingredient (API) and drug products. Part 1: Predicting degradation related impurities and impurity considerations for pharmaceutical dosage forms.

Authors:  Karen M Alsante; Kim Huynh-Ba; Steven W Baertschi; Robert A Reed; Margaret S Landis; Mark H Kleinman; Christopher Foti; Venkatramana M Rao; Paul Meers; Andreas Abend; Daniel W Reynolds; Biren K Joshi
Journal:  AAPS PharmSciTech       Date:  2013-11-27       Impact factor: 3.246

2.  Reaction Library to Predict Direct Photochemical Transformation Products of Environmental Organic Contaminants in Sunlit Aquatic Systems.

Authors:  Chenyi Yuan; Caroline Tebes-Stevens; Eric J Weber
Journal:  Environ Sci Technol       Date:  2020-05-26       Impact factor: 9.028

3.  Use of Lhasa Limited Products for the In Silico Prediction of Drug Toxicity.

Authors:  David J Ponting; Michael J Burns; Robert S Foster; Rachel Hemingway; Grace Kocks; Donna S MacMillan; Andrew L Shannon-Little; Rachael E Tennant; Jessica R Tidmarsh; David J Yeo
Journal:  Methods Mol Biol       Date:  2022

4.  Enhancing Carbon Acid pKa Prediction by Augmentation of Sparse Experimental Datasets with Accurate AIBL (QM) Derived Values.

Authors:  Jeffrey Plante; Beth A Caine; Paul L A Popelier
Journal:  Molecules       Date:  2021-02-17       Impact factor: 4.411

Review 5.  Oxidation of Drugs during Drug Product Development: Problems and Solutions.

Authors:  Alen Gabrič; Žiga Hodnik; Stane Pajk
Journal:  Pharmaceutics       Date:  2022-01-29       Impact factor: 6.321

  5 in total

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