Application of a neural network in high-throughput protein crystallography

被引：9

作者：

Berntson, A ^{[1
]}

Stojanoff, V ^{[1
]}

Takai, H ^{[1
]}

机构：

[1] Brookhaven Natl Lab, Upton, NY 11973 USA

来源：

JOURNAL OF SYNCHROTRON RADIATION | 2003年 / 10卷

关键词：

X-ray diffraction; neural networks; protein crystallography;

D O I：

10.1107/S0909049503020855

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

High-throughput protein crystallography requires the automation of multiple steps used in the protein structure determination. One crucial step is to find and monitor the crystal quality on the basis of its diffraction pattern. It is often time-consuming to scan protein crystals when selecting a good candidate for exposure. The use of neural networks for this purpose is explored. A dynamic neural network algorithm to achieve a fast convergence and high-speed image recognition has been developed. On the test set a 96% success rate in identifying properly the quality of the crystal has been achieved.

引用

页码：445 / 449

页数：5

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