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首页> 外文期刊>Acta crystallographica. Section D, Structural biology >Sequence-assignment validation in cryo-EM models with checkMySequence
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Sequence-assignment validation in cryo-EM models with checkMySequence

机译：在低温电子显微镜Sequence-assignment验证模型与checkMySequence

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The availability of new artificial intelligence-based protein-structure-prediction tools has radically changed the way that cryo-EM maps are interpreted, but it has not eliminated the challenges of map interpretation faced by a microscopist. Models will continue to be locally rebuilt and refined using interactive tools. This inevitably results in occasional errors, among which register shifts remain one of the most difficult to identify and correct. Here, checkMySequence, a fast, fully automated and parameter-free method for detecting register shifts in protein models built into cryo-EM maps, is introduced. It is shown that the method can assist model building in cases where poorer map resolution hinders visual interpretation. It is also shown that checkMySequence could have helped to avoid a widely discussed sequence-register error in a model of SARS-CoV-2 RNA-dependent RNA polymerase that was originally detected thanks to a visual residue-by-residue inspection by members of the structural biology community. The software is freely available at https://gitlab.com/gchojnowski/checkmysequence.
机译：新的人工的可用性智力的蛋白质结构预测工具已经从根本上改变了低温电子显微镜地图是解释,但它并未消除地图解释所面临的挑战显微镜工作者。重建和改进使用交互式工具。不可避免地导致偶尔的错误等哪个寄存器变化保持的一个最难以识别和正确的。checkMySequence,快速、完全自动化parameter-free方法检测登记蛋白质的变化模型构建到低温电子显微镜地图,介绍了。协助模型建立在贫穷的情况下地图解决阻碍目视判读。也表明checkMySequence可能有帮助为了避免sequence-register广泛讨论的话题错误SARS-CoV-2依赖RNA的RNA的典范聚合酶,最初是由于检测到一个视觉residue-by-residue检查成员结构生物学的社区。是免费提供的https://gitlab.com/gchojnowski/checkmysequence。

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