pDeepXL: MS/MS Spectrum Prediction for Cross-Linked Peptide Pairs by Deep Learning.

Chen, Zhen-Lin; Mao, Peng-Zhi; Zeng, Wen-Feng; Chi, Hao; He, Si-Min

Chen, Zhen-Lin; Mao, Peng-Zhi; Zeng, Wen-Feng; Chi, Hao; He, Si-Min.

Afiliación

Chen ZL; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China.
Mao PZ; University of Chinese Academy of Sciences, Beijing 100049, China.
Zeng WF; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China.
Chi H; University of Chinese Academy of Sciences, Beijing 100049, China.
He SM; Key Laboratory of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China.

J Proteome Res ; 20(5): 2570-2582, 2021 05 07.

Article en En | MEDLINE | ID: mdl-33821641

Asunto(s)

Aprendizaje Profundo; Espectrometría de Masas en Tándem; Algoritmos; Redes Neurales de la Computación; Péptidos; Proteoma

Palabras clave

cross-linking mass spectrometry; deep learning; online fine-tuning; spectrum prediction; transfer learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Espectrometría de Masas en Tándem / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Proteome Res Asunto de la revista: BIOQUIMICA Año: 2021 Tipo del documento: Article País de afiliación: China

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