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首页> 外文期刊>Acta crystallographica.Section D. Biological crystallography >Pattern-recognition-based detection of planar objects in three-dimensional electron-density maps.
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Pattern-recognition-based detection of planar objects in three-dimensional electron-density maps.

机译：Pattern-recognition-based检测平面物体在三维电子密度地图。

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摘要

A pattern-recognition-based method for the detection of planar objects in protein or DNA/RNA crystal structure determination is described. The procedure derives a set of rotation-invariant numeric features from local regions in the asymmetric unit of a crystallographic electron-density map. These features, primarily moments of various orders, capture different aspects of the local shape of objects in the electron density. Feature classification is achieved using a linear discriminant that is trained to optimize the contrast between planar and nonplanar objects. In five selected test cases with X-ray data spanning 2.0-3.0 A resolution, the procedure identified the correct location and orientation for almost all of the double-ring and a majority of the single-ring planar groups. The accuracy of the location of the plane centres is of the order of 0.5 A, even in moderately noisy density maps.
机译：pattern-recognition-based方法在蛋白质或DNA / RNA检测平面对象晶体结构测定。过程得出一组旋转不变当地地区的数字特征不对称单元的一个结晶电子密度图。各种订单的时刻,捕捉不同方面的局部形状的对象电子密度。这是通过使用一个线性判别式训练优化平面之间的对比和空间的对象。例2.0 - -3.0 x射线数据生成分辨率,正确确定的过程几乎所有的位置和方向双环和大多数的单码道平面组。飞机中心是0.5的,甚至在中等噪声密度地图。

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