ENPICOM
Scientific presentation
Advances in lead discovery with high-throughput sequencing data and in-silico models
Therapeutic discovery has rapidly changed with recent advances in high-throughput sequencing, B cell screening, and computational methods. These technologies can synergize to help find binders for harder targets. We will discuss some relevant advances and the key ingredients for integrating the data they help generate.
- Recent advances in data-driven antibody discovery
- A deep learning case study: multi-objective humanization using pLMs
- Fueling data-driven and ML-aided discovery with solid data infrastructure
Meet the speakers
At ENPICOM, Néstor focuses on analyzing customer requirements, and oversees project setup, management, and execution. During his PhD in Immunology, he isolated and expressed monoclonal antibodies after vaccinations and developed high-throughput sequencing library preparation protocols for B cell repertoires in humans, non-human primates, and other animal models.
Néstor Vázquez Bernat
Head of Application Science
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