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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Dettagli Bibliografici
Pubblicato in:Biomolecules
Autori principali: Yoo, Duck Kyun, Lee, Seung Ryul, Jung, Yushin, Han, Haejun, Lee, Hwa Kyoung, Han, Jerome, Kim, Soohyun, Chae, Jisu, Ryu, Taehoon, Chung, Junho
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI 2020
Soggetti:
Communication
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7175295/
https://ncbi.nlm.nih.gov/pubmed/32182714
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/biom10030421
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