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Updated: May 21, 2025

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Toward a Monte Carlo simulation of protein systems in amino-acid sequence space
1Department of Physics, Graduate School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan; High Performance Computing Division, Information Technology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan; Global Engagement Center, International Affairs, Nagoya University, Nagoya, Aichi 464-8601, Japan; and Funai Foundation for Information Technology, 4-11-5 Sotokanda, Chiyoda-ku, Tokyo 101-0021, Japan.
Abstract:
In this article, we present our strategy for studying amino-acid sequence dependences on protein structures. For this purpose, performing Metropolis Monte Carlo simulations in the amino-acid sequence space is necessary. We want to use a coarse-grained protein model with an accurate potential energy function. We introduce a method for optimizing potential-energy parameters based on the native protein structure database, Protein Data Bank.
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