Badger John
Structural GenomiX, Inc., 10505 Roselle Street, San Diego, CA 92121, USA.
Acta Crystallogr D Biol Crystallogr. 2003 May;59(Pt 5):823-7. doi: 10.1107/s0907444903003792. Epub 2003 Apr 25.
The computer programs ARP/wARP, MAID and RESOLVE are designed to build protein structures into experimentally phased electron-density maps without any user intervention, requiring only diffraction data and sequence information. However, the MAID and RESOLVE systems, which seek to extend the range of automated model-building to approximately 3 A resolution, have yet to receive significant testing outside the small numbers of data sets used in their development. Since these two systems employ a large number of scoring functions and decision-making heuristics, additional tests are required to establish their usefulness to the crystallographic community. To independently evaluate these programs, their performance was tested using a database containing 41 experimentally phased maps between 1.3 and 2.9 A resolution from a diverse set of protein structures. At resolutions higher than 2.3 A the most successful program was ARP/wARP 6.0, which accurately built an average of 90% of the main chain. This system builds somewhat larger fractions of the model than the previous version ARP/wARP 5.1, which accurately built an average of 87% of the main chain. Although not specifically designed for model building into high-resolution maps, MAID and RESOLVE were also quite successful in this resolution regime, typically building approximately 80% of the main chain. At 2.3-2.7 A resolution the MAID and RESOLVE programs automatically built approximately 75% of the main-chain atoms in the protein structures used in these tests, which would significantly accelerate the model-building process. Data sets at lower resolution proved more problematic for these programs, although many of the secondary-structure elements were correctly identified and fitted.
计算机程序ARP/wARP、MAID和RESOLVE旨在无需用户干预即可将蛋白质结构构建到实验定相的电子密度图中,只需要衍射数据和序列信息。然而,旨在将自动模型构建范围扩展到约3埃分辨率的MAID和RESOLVE系统,在其开发中使用的少量数据集之外尚未得到大量测试。由于这两个系统采用了大量的评分函数和决策启发式方法,需要进行额外的测试来确定它们对晶体学界的有用性。为了独立评估这些程序,使用一个数据库对它们的性能进行了测试,该数据库包含来自各种蛋白质结构的41个分辨率在1.3至2.9埃之间的实验定相图。在高于2.3埃的分辨率下,最成功的程序是ARP/wARP 6.0,它能准确构建平均90%的主链。该系统构建的模型比例比上一版本ARP/wARP 5.1略大,后者能准确构建平均87%的主链。虽然MAID和RESOLVE并非专门为高分辨率图的模型构建而设计,但在这个分辨率范围内也相当成功,通常能构建约80%的主链。在2.3至2.7埃分辨率下,MAID和RESOLVE程序在这些测试中使用的蛋白质结构中自动构建了约75%的主链原子,这将显著加速模型构建过程。对于这些程序来说,较低分辨率的数据集问题更大,尽管许多二级结构元素被正确识别和拟合。