Journal
TRENDS IN PHARMACOLOGICAL SCIENCES
Volume 27, Issue 5, Pages 240-243Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tips.2006.03.004
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Computational approaches that adopt dynamical models are widely accepted in basic and clinical neuroscience research as indispensable tools with which to understand normal and pathological neuronal mechanisms. Although computer-aided techniques have been used in pharmaceutical research (e.g. in structure- and ligand-based drug design), the power of dynamical models has not yet been exploited in drug discovery. We suggest that dynamical system theory and computational neuroscience - integrated with well-established, conventional molecular and electrophysiological methods - offer a broad perspective in drug discovery and in the search for novel targets and strategies for the treatment of neurological and psychiatric diseases.
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