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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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