A New Global Optimization Approach on Solving Macromolecular Structure Determination Problem

摘要

In this paper, we propose a new global optimization approach named parametrization auxiliary function approach on solving 2 types of macromolecular structure prediction problem: the potential energy problem and the distance geometry problem. Numerical tests show that the proposed method is both feasible and effective compared with the branch-and-bound method.