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PROXIMO - a new docking algorithm to model protein complexes using data from radical probe mass spectrometry (RP-MS)

机译:PROXIMO-一种新的对接算法,可使用自由基探针质谱(RP-MS)数据模拟蛋白质复合物

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摘要

The design and implementation of a new algorithm, known as PROXIMO for protein oxidation interface modeller, is described to predict the structure of protein complexes using data generated in radical probe mass spectrometry (RP-MS) experiments. Photochemical radiolysis and discharge sources can be used to effect RP-MS in which hydroxyl radicals are formed directly from the bulk solvent on millisecond timescales and react with surface accessible residues in footprinting-like experiments. The algorithm utilizes a geometric surface fitting routine to predict likely structures for protein complexes. These structures are scored based on a correlation between the measured solvent accessibility of oxidizable residue side chains and oxidation shielding data obtained by RP-MS. The algorithm has been implemented to predict structures for the ribonuclease S-protein-peptide and calmodulin-melittin complexes using RP-MS data generated in this laboratory. The former is in close agreement with the high-resolution experimental structure available.
机译:描述了一种新算法的设计和实现,该算法用于蛋白质氧化界面建模器,称为PROXIMO,用于使用自由基探针质谱(RP-MS)实验中生成的数据预测蛋白质复合物的结构。光化学辐射分解和放电源可用于实现RP-MS,在该过程中,羟基自由基直接在毫秒时间内由大量溶剂形成,并在类似足迹的实验中与表面可及的残留物发生反应。该算法利用几何表面拟合例程来预测蛋白质复合物的可能结构。根据测得的可氧化残基侧链的溶剂可及性与RP-MS获得的氧化屏蔽数据之间的相关性,对这些结构进行评分。使用该实验室中生成的RP-MS数据,已实施该算法来预测核糖核酸酶S蛋白肽和钙调蛋白-蜂毒肽复合物的结构。前者与可用的高分辨率实验结构非常吻合。

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