Developing microbiome-derived, live biotherapeutics for animal health

Microbiome Therapeutics
Healthy microorganisms can act as a barrier against dangerous pathogens. Resilient is developing a new class of therapeutics designed from the commensal microbial community.

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Application
Areas
Resilient is developing live biotherapeutics to decrease or replace antibiotics in the animal health industry.

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Technology Platform
Resilient utilizes an advanced discovery platform that combines proprietary bioinformatics and laboratory validation assays for therapeutic discovery.

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Product
Pipeline
Resilient is actively testing non-antibiotic, precision microbial therapeutics to prevent infectious diseases.

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Advanced Microbiome Genomics & Data Science for Therapeutic Discovery

OUR MISSION

Resilient Biotics is utilizing big data analytics to design microbiome-based therapeutics and advanced screening methods for prevention and precision treatment of deadly infectious diseases.

Our goal is to provide more effective treatment strategies while reducing dependency on antibiotics.

data analytics

Resilient Biotics utilizes deep sequencing and a machine learning-based computational platform to characterize host genotypes, commensal microbial communities, and pathogen strain variants for unprecedented microbiome resolution.

Our analytics rapidly identify important genetic elements and key microbial strains that influence states of health and disease.

Disease Profiling

We sift through terabases of data to uncover unique signatures associated with disease occurrence. Our comprehensive profiling methods characterize infectious microorganisms across the entire genome in order to identify important pathogenic strains and virulence-causing genes.

Our in-house heuristic search methods can rapidly pinpoint diagnostic biomarkers for pathogen identification and risk prediction. Importantly, accurate disease profiling enables the use of targeted therapeutic and disease management strategies.

Therapeutic Discovery

Healthy microbiome communities promote host health and resist invasion by infectious pathogens. However, a robust and diverse microbial community can have thousands to hundreds of thousands of microbial strains. Our task is to parse through each of these strains to identify those responsible for positive health outcomes and pathogen resistance. Using pattern recognition and network algorithms, we identify specific microbial strains and community structures that are beneficial to the host and prevent pathogen colonization.