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Updated: Apr 20, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
The inverse problem in mathematical biology
Gilles Clermont1, Sven Zenker2
1Crisma Center, Departments of Critical Care Medicine, Mathematics, and Chemical Engineering, University of Pittsburgh, 200 Lothrop St, Pittsburgh, PA 16123, USA.
Abstract:
Biological systems present particular challengers to model for the purposes of formulating predictions of generating biological insight. These systems are typically multi-scale, complex, and empirical observations are often sparse and subject to variability and uncertainty. This manuscript will review some of these specific challenges and introduce current methods used by modelers to construct meaningful solutions, in the context of preserving biological relevance. Opportunities to expand these methods are also discussed.
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