Enhancing Mass spectrometry-based tumor immunopeptide identification: machine learning filter leveraging HLA binding affinity, aliphatic index and retention time deviation

Enhancing Mass spectrometry-based tumor immunopeptide identification: machine learning filter leveraging HLA binding affinity, aliphatic index and retention time deviation

Accurately identifying neoantigens is crucial for developing effective cancer vaccines and improving tumor immunotherapy. Mass spectrometry-based immunopeptidomics has emerged as a promising approach to identifying human leukocyte antigen (HLA) peptides presented on the surface of cancer cells, but...

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Bibliographic Details
Main Authors: Feifei Wei, Taku Kouro, Yuko Nakamura, Hiroki Ueda, Susumu Iiizumi, Kyoko Hasegawa, Yuki Asahina, Takeshi Kishida, Soichiro Morinaga, Hidetomo Himuro, Shun Horaguchi, Kayoko Tsuji, Yasunobu Mano, Norihiro Nakamura, Takeshi Kawamura, Tetsuro Sasada
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Immunopeptidomics
Mass spectrometry
Machine learning
Aliphatic index
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024000230

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http://www.sciencedirect.com/science/article/pii/S2001037024000230

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