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Side effect profile prediction – Tackling Big Pharma’s worst nightmare at an early stage

Josef Scheiber¹

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1. Novartis Institutes for Biomedical Research

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Presentation

Date:

Received 18 October 2007 21:10 UTC; Posted 23 October 2007

Subjects:

Chemistry, Pharmacology, Bioinformatics

Tags:

• drug safety
• Cheminformatics
• chemoinformatics
• Pharmacology
• prediction

Abstract:

This talk presents a method that predicts adverse side effects for molecules based on the chemical structure only. Also, targets for the compounds are predicted. Therefore it becomes possible to link a certain side effect to the interaction with a certain target through molecular space. Examples are given in the talk.

Presented at:

American Chemical Society Fall Meeting Boston 2007, 23 August 2007

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This document is licensed to the public under the Creative Commons Attribution 2.5 License

How to cite this document:

Scheiber, Josef. Side effect profile prediction – Tackling Big Pharma’s worst nightmare at an early stage. Available from Nature Precedings <http://dx.doi.org/10.1038/npre.2007.1239.1> (2007)

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