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INFERYS rescoring: Boosting peptide identifications and scoring confidence of database search results
Rapid Communications in Mass Spectrometry ( IF 1.8 ) Pub Date : 2021-05-20 , DOI: 10.1002/rcm.9128
Daniel P Zolg 1 , Siegfried Gessulat 1 , Carmen Paschke 2 , Michael Graber 1 , Magnus Rathke-Kuhnert 1 , Florian Seefried 1 , Kai Fitzemeier 2 , Frank Berg 2 , Daniel Lopez-Ferrer 3 , David Horn 3 , Christoph Henrich 2 , Andreas Huhmer 3 , Bernard Delanghe 2 , Martin Frejno 1
Affiliation  

Database search engines for bottom-up proteomics largely ignore peptide fragment ion intensities during the automated scoring of tandem mass spectra against protein databases. Recent advances in deep learning allow the accurate prediction of peptide fragment ion intensities. Using these predictions to calculate additional intensity-based scores helps to overcome this drawback.

中文翻译:


INFERYS 重新评分:增强肽鉴定并为数据库搜索结果的置信度评分



自下而上蛋白质组学的数据库搜索引擎在根据蛋白质数据库自动评分串联质谱时很大程度上忽略了肽片段离子强度。深度学习的最新进展可以准确预测肽碎片离子强度。使用这些预测来计算额外的基于强度的分数有助于克服这个缺点。
更新日期:2021-05-20
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