ENPICOMA recipe for data-driven therapeutic discovery: Advances, ingredients, and applications
In this presentaion, we discuss the essential elements of modern data-driven discovery and how we incorporate them in the IGX Platform to enable your team to identify the most promising antibody leads. Furthermore, we will explore strategies to make ML-aided discovery accessible to your scientists by harnessing ENPICOM’s expertise or your in-house ML capabilities.
A combination of high-throughput sequencing, B cell screening, and computational methods has the capacity to accelerate biological discovery for challenging targets and data-driven discovery will facilitate it. In this session, we will discuss:
- Recent advances in antibody sequencing, wet-lab, and computational screening
- Challenges of integrating these different components into an effective workflow
- Key ingredients to leverage these technologies
- Practical application of data-driven antibody discovery
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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