Development of X-ray Data Processing System for Protein Microcrystals

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Other Title
  • 微小結晶を用いたタンパク質X線結晶構造解析におけるデータ処理システムの開発
  • 学会賞受賞論文 微小結晶を用いたタンパク質X線結晶構造解析におけるデータ処理システムの開発
  • ガッカイショウ ジュショウ ロンブン ビショウ ケッショウ オ モチイタ タンパクシツ Xセン ケッショウ コウゾウ カイセキ ニ オケル データ ショリ システム ノ カイハツ

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<p>The bottleneck in protein structure determination by X-ray crystallography is to obtain protein crystals with suitable size and sufficient diffracting power, and sometimes only microcrystals can be obtained. For such microcrystals, the use of X-ray microbeams is essential to collect diffraction data at high S/N ratio. However, radiation damage hampers complete and high-resolution data collection from a single microcrystal, and therefore multiple crystals are required. At microbeam beamline BL32XU, SPring-8, the workflow for protein microcrystals is established and automated. One of the key programs is SHIKA, which suggests microcrystal positions by finding diffraction spots from low-dose raster scan. Automatically collected datasets are processed and merged by KAMO, a new open-source data processing pipeline for automating the whole data processing tasks in the case of multiple datasets. These developments greatly facilitated the structure analyses from microcrystals.</p>

Journal

  • Nihon Kessho Gakkaishi

    Nihon Kessho Gakkaishi 60 (2-3), 104-112, 2018-05-31

    The Crystallographic Society of Japan

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