Solving molecular distance geometry problems using a continuous optimization approach

Abstract

The molecular distance geometry problem consists in finding the positions in of atoms of a molecule, given some inter-atomic distances. In this work we formulate this problem as a nonlinear optimization problem and solve some instances using a continuous optimization routine. For each proposed experiment, we compare the numerical solution obtained with the true structure. This comparison is performed by solving a Procrustes problem.