Dr. Milana Frenkel-Morgenstern – ProtFus: A Comprehensive Method Characterizing Protein-Protein Interactions of Fusion Proteins

Dr. Milana Frenkel-Morgenstern

Abstract Tailored therapy aims to cure cancer patients effectively and safely, based on the complex interactions between patients’ genomic features, disease pathology and drug metabolism. Thus, the continual increase in scientific literature drives the need for efficient methods of data mining to improve the extraction of useful information from texts based on patients’ genomic features.…

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Prof. Efroni Sol – The Immune System Computes the State of the Body: Crowd Wisdom, Machine Learning, and Immune Cell Reference Repertoires Help Manage Inflammation

Prof. Sol Efroni

Abstract Here, we outline an overview of the mammalian immune system that updates and extends the classical clonal selection paradigm. Rather than focusing on strict self-not-self discrimination, we propose that the system orchestrates variable inflammatory responses that maintain the body and its symbiosis with the microbiome while eliminating the threat from pathogenic infectious agents and…

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Prof. Efroni Sol – Network Representation of T-Cell Repertoire— A Novel Tool to Analyze Immune Response to Cancer Formation

Prof. Sol Efroni

Abstract The T cell repertoire potentially presents complexity compatible, or greater than, that of the human brain. T cell based immune response is involved with practically every part of human physiology, and high-throughput biology needed to follow the T-cell repertoire has made great leaps with the advent of massive parallel sequencing [1]. Nevertheless, tools to…

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