Authors: Larissa S Fenn John A McLean
Publish Date: 2008/03/05
Volume: 391, Issue: 3, Pages: 905-909
Abstract
Following the paradigm of the human genome project much of current systems biology research entails characterizing quantifying and cataloging the biomolecular inventory of a sample at specific dimensions of space eg cellular tissue or organism levels and time eg point in the life cycle healthy vs diseased state These largely hypothesisindependent data are then integrated with the development of bioinformatic algorithms to derive an understanding of how different molecular networks interact and function which subsequently provide a framework for performing hypothesisdriven studies 1 This reductionist approach ie measuring gene and protein expression levels evaluating protein posttranslational modifications metabolite levels etc is necessary to begin parameterizing the extraordinarily complex molecular interaction networks that regulate control and perturb biochemical processes rather thanThe authors are thankful to S Sundarapandian and W B Ridenour for providing selected illustrative data Financial support for this work was provided by the National Institutes of HealthNIDA HHSN271200677593C HHSN271200677563C and HHSN271200677563C Vanderbilt University College of Arts and Sciences Vanderbilt Institute of Chemical Biology and Ionwerks Inc
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