蛋白质结构预测?
Protein structure prediction
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摘要: 从氨基酸序列出发预测蛋白质的三维结构是目前计算生物学和生物物理学领域最具挑战性和影响力的研究方向之一。本文从结构预测的研究背景出发,简要介绍了它的理论意义、应用需求及基本现状;并根据结构预测的一般步骤,依次介绍了构象初始化、构象搜索、结构筛选、全原子结构重建、结构优化等基本预测过程;随后分基于模板和无模板两类,各列举了几种具有代表性的结构预测方法;最后对该领域的盛事——国际蛋白质结构预测技术评估大赛(CASP)做了简单介绍。Abstract: Predicting 3D structure of proteins from the amino acid sequences is one of the most important unsolved problems in computational biology and biophysics. This review article attempts to introduce the most recent effort and progress on this problem. After a brief introduction of the background and basic concepts involved in protein structure prediction, we went through the specific steps that have been taken by most typical structural modeling approaches, including fold recognition, model initialization, conformational search, model selection, and atomic-level structure refinement. Several representative structure prediction methods were introduced in detail, including those from both template-based modeling and ab initio folding approaches. Finally, we overview the results shown in the community-wide Critical Assessment of protein Structure Prediction (CASP) experiments that have been developed for benchmarking the state of the art of the field.
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