Machine Learning-Guided Prediction of Antigen-Reactive In Silico Clonotypes Based on Changes in Clonal Abundance through Bio-Panning

c-Met is a promising target in cancer therapy for its intrinsic oncogenic properties. However, there are currently no c-Met-specific inhibitors available in the clinic. Antibodies blocking the interaction with its only known ligand, hepatocyte growth factor, and/or inducing receptor internalization...

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Detalles Bibliográficos
Autores principales: Yoo, Duck Kyun, Lee, Seung Ryul, Jung, Yushin, Han, Haejun, Lee, Hwa Kyoung, Han, Jerome, Kim, Soohyun, Chae, Jisu, Ryu, Taehoon, Chung, Junho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175295/
https://www.ncbi.nlm.nih.gov/pubmed/32182714
http://dx.doi.org/10.3390/biom10030421

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7175295/
https://www.ncbi.nlm.nih.gov/pubmed/32182714
http://dx.doi.org/10.3390/biom10030421

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