We propose a new algorithmic approach for global optimization in protein folding. We use the information found in various local minima to direct the search for the global minimum. In this way, we explore the energy landscape efficiently by considering only the space of local minima instead of the whole feasible space of conformations. © Springer-Verlag Berlin Heidelberg 2003.
CITATION STYLE
Santos, E., Kim, K. J., & Santos, E. E. (2003). Effective search of the energy landscape for protein folding. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2723, 642–643. https://doi.org/10.1007/3-540-45105-6_78
Mendeley helps you to discover research relevant for your work.