A gradient-directed Monte Carlo approach for protein design
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Updated: Jun 15, 2026

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
Published on: July 25, 2013
Xiangqian Hu1, Hao Hu, David N Beratan
1Department of Chemistry, French Family Science Center, Duke University, Durham, North Carolina 27708-0346, USA.
Abstract:
We develop a new global optimization strategy, gradient-directed Monte Carlo (GDMC) sampling, to optimize protein sequence for a target structure using RosettaDesign. GDMC significantly improves the sampling of sequence space, compared to the classical Monte Carlo search protocol, for a fixed backbone conformation as well as for the simultaneous optimization of sequence and structure. As such, GDMC sampling enhances the efficiency of protein design.
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