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机译:PDEEP:预测肽的MS / MS光谱和深度学习
State Key Laboratory of Computer Architecture Institute of Computing Technology (ICT) Chinese Academy of Sciences (CAS) Beijing 100190 China;
University of Chinese Academy of Sciences Beijing China;
University of Chinese Academy of Sciences Beijing China;
State Key Laboratory of Computer Architecture Institute of Computing Technology (ICT) Chinese Academy of Sciences (CAS) Beijing 100190 China;
University of Chinese Academy of Sciences Beijing China;
State Key Laboratory of Computer Architecture Institute of Computing Technology (ICT) Chinese Academy of Sciences (CAS) Beijing 100190 China;
University of Chinese Academy of Sciences Beijing China;
Capital Medical University Beijing 100069 China;
机译:PDEEP:预测肽的MS / MS光谱和深度学习
机译:从光谱库预测未观察到的肽MS / MS光谱的半经验方法。
机译:深入学习预测序列肽的LC-MS / MS性质
机译:MS / MS数据的光谱聚类以识别未知的肽修改和估计可识别的光谱
机译:机器学习和计算机模拟,可改善从shot弹枪蛋白质组MS / MS光谱中鉴定肽的能力。
机译:深度学习根据序列预测多肽的LC-MS / MS特性
机译:用硝化肽探索电子捕获解离质谱的机制† †可用电子补充信息(ESI):N-乙酰化肽段的CID MS / MS光谱; CID实验数据。参见DOI:10.1039 / c0cp00623h
机译:新型ms技术对毒素和毒液的调查。蓝绿藻类毒素肽和其他毒素的质谱研究