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ModelCraft: an advanced automated model‐building pipeline using Buccaneer

机译:ModelCraft:一个先进的自动化的模型构建管道使用海盗

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Interactive model building can be a difficult and time‐consuming step in the structure‐solution process. Automated model‐building programs such as Buccaneer often make it quicker and easier by completing most of the model in advance. However, they may fail to do so with low‐resolution data or a poor initial model or map. The Buccaneer pipeline is a relatively simple program that iterates Buccaneer with REFMAC to refine the model and update the map. A new pipeline called ModelCraft has been developed that expands on this to include shift‐field refinement, machine‐learned pruning of incorrect residues, classical density modification, addition of water and dummy atoms, building of nucleic acids and final rebuilding of side chains. Testing was performed on 1180 structures solved by experimental phasing, 1338 structures solved by molecular replacement using homologues and 2030 structures solved by molecular replacement using predicted AlphaFold models. Compared with the previous Buccaneer pipeline, ModelCraft increased the mean completeness of the protein models in the experimental phasing cases from 91% to 95%, the molecular‐replacement cases from 50% to 78% and the AlphaFold cases from 82% to 91%.
机译:建筑可以是一个困难和互动模型时间还是消费结构检测的解决方案的过程。作为海盗经常让它更快和更容易提前完成大多数的模型。他们可能无法与低分辨率数据一个可怜的初始模型或地图。管道是一个相对简单的程序迭代海盗REFMAC细化模型和更新地图。ModelCraft扩大了这包括转变高领域细化机器学习修剪等不正确的残留物,经典密度修正,添加水和假原子,核酸和建设侧链的最后重建。上执行1180结构解决实验分阶段,1338年结构解决了分子替换使用同系物和2030年通过分子结构解决替换使用AlphaFold预测模型。以前的海盗管道,ModelCraft增加意味着蛋白质模型的完整性实验分阶段情况下从91%提高到95%,分子检测替代情况下从50%降至78%和AlphaFold情况从82%降至91%。

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