Proteins are the most important molecular entities of a living organism and understanding their functions is an important task to treat diseases and synthesize new drugs. It is largely known that the function of a protein is strictly related to its spatial conformation: to tackle this problem, we have proposed a new approach based on a class of pattern search algorithms that is largely used in optimization of real world applications. The obtained results are interesting in terms of the quality of the structures (RMSD-C α) and energy values found. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Nicosia, G., & Stracquadanio, G. (2007). Generalized pattern search and mesh adaptive direct search algorithms for protein structure prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4645 LNBI, pp. 183–193). Springer Verlag. https://doi.org/10.1007/978-3-540-74126-8_17
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