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FORCED COALESCENCE PHASING - A METHOD FOR AB INITIO DETERMINATION OF CRYSTALLOGRAPHIC PHASES

机译:强制性的相变-从头确定晶相的方法

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A method has been developed for ab initio determination of crystallographic phases. This technique, called forced coalescence phasing (FCP), is implemented on a computer and uses an automated iterative procedure that combines real space filtering with numerically seeded Fourier transforms to solve the crystallographic phase problem. This approach is fundamentally different from that of traditional direct methods of phasing, which rely on structure invariant probabilistic phase relationships, In FCP, the process begins with an appropriate set of atoms randomly distributed throughout the unit cell. In subsequent cycles of the program, these atoms undergo continual rearrangements ultimately forming the correct molecular structure(s) consistent with the observed x-ray data. In each cycle, the molecular rearrangement is directed by an electron density (Fourier) map calculated using specially formulated numerical seed coefficients that, along with the phase angles for the map, are derived from the arrangement of atoms in the preceding cycle. The method has been tested using actual x-ray data from three organic compounds. For each data set, 100 separate phase determination trials were conducted, each trial beginning with a different set of randomly generated starting phases. Correct phase sets were successfully determined in all of the trials with most trials requiring fewer than 50 cycles of the FCP program. In addition to its effectiveness in small molecule phase determination, FCP offers unexplored potential in the application of real-space methods to ab initio phasing of proteins and other macromolecule structures. [References: 8]
机译:已经开发了一种从头确定晶体相的方法。这种技术称为强制合并定相(FCP),是在计算机上实现的,并使用自动迭代过程,该过程将实际空间滤波与数字种子傅立叶变换相结合,以解决晶体相问题。这种方法与传统的直接定相方法根本不同,传统的直接定相方法依赖于结构不变的概率相位关系。在FCP中,该过程始于在整个晶胞中随机分布的一组合适的原子。在程序的后续循环中,这些原子经历连续重排,最终形成与观察到的X射线数据一致的正确分子结构。在每个循环中,分子重排均由电子密度图(傅里叶)进行控制,该电子密度图使用专门制定的数字种子系数计算,该系数与该图的相角一起从前一循环中的原子排列得出。该方法已使用来自三种有机化合物的实际X射线数据进行了测试。对于每个数据集,进行了100个单独的阶段确定试验,每个试验都从一组随机生成的起始阶段开始。在所有试验中都成功地确定了正确的相集,其中大多数试验需要少于50个FCP程序周期。除了在小分子相测定中的有效性外,FCP在实空间方法从头开始蛋白质和其他大分子结构的定相应用中还提供了未开发的潜力。 [参考:8]

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