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All-Atom CSAW:An Ab Initio Protein Folding Method

机译:全原子CSAW:从头算蛋白质折叠方法

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Conditioned Self-Avoiding Walk (CSAW) was first developed as a tool to simulate protein folding Based on CSAW algorithm,All-atom Conditioned Self-Avoiding Walk (AA-CSAW) was developed around 2007.The polypeptide chain is simulated as effectively rigid cranks -Ca-CO-NH- units lined by covalent bonds.Bond lengths and bond angles are set as fixed optimal values.All-atom amino acid sidechain is attached to very Ca atom.The structure of polypeptide is fully described by backbone dihedral angles φ,ψ and the sidechain dihedral angles χ.A trial structure is randomly generated by pivoting the polypeptide chain and sidechains.In the pivot algorithm,the backbone dihedral angles φ,ψ for each residue are chosen according to probability distributions in Ramachandran plot.The dihedral angle distributions are improved by 3-residue fragment set investigation.The effective energy of protein structure is constructed by considering hydrophobic effect,desolvation effect and hydrogen bonding interaction.An appropriate three dimensional structure is accepted with a probability according to Metropolis scheme.In order to evaluate the accepted structures in Monte Carlo simulations,the ratio of secondary structure content to radius of gyration is introduced.CASP09 target example shows that AA-CSAW is an efficient and promising ab initio method.
机译:有条件的自我避免步行(CSAW)最初是作为模拟蛋白质折叠的工具而开发的,基于CSAW算法,于2007年左右开发了全原子的有条件的自我避免步行(AA-CSAW)。该多肽链被模拟为有效的刚性曲柄-Ca-CO-NH-单元共价键排列,键长和键角设定为固定的最佳值,全原子氨基酸侧链连接至非常Ca原子上,多肽的结构由主链二面角φ充分描述,ψ和侧链二面角χ。通过旋转多肽链和侧链随机生成试验结构。在枢轴算法中,根据Ramachandran图中的概率分布选择每个残基的骨架二面角φ,ψ。通过3残基片段集的研究来改善角度分布。通过考虑疏水作用,去溶剂化作用和氢键相互作用来构建蛋白质结构的有效能。根据Metropolis方案以概率确定了适当的三维结构。为了评估蒙特卡洛模拟中的可接受结构,引入了二级结构含量与回转半径的比率。CASP09目标示例表明,AA-CSAW是一种有效的结构。和有希望的从头算方法。

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