首页> 外文会议>International Workshop on Algorithms in Bioinformatics(WABI 2007); 20070911-13; Philadelphia,PA(US) >Generalized Pattern Search and Mesh Adaptive Direct Search Algorithms for Protein Structure Prediction
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Generalized Pattern Search and Mesh Adaptive Direct Search Algorithms for Protein Structure Prediction

机译:用于蛋白质结构预测的广义模式搜索和网格自适应直接搜索算法

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摘要

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.
机译:蛋白质是生物体最重要的分子实体,了解其功能是治疗疾病和合成新药的重要任务。众所周知,蛋白质的功能与它的空间构象严格相关:为解决这个问题,我们基于一类模式搜索算法提出了一种新方法,该算法主要用于现实应用的优化。就结构的质量(RMSD-C_α)和找到的能量值而言,获得的结果很有趣。

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