Microbiome Analysis & Therapeutics

Second Genome

by Second Genome, Inc.

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Microbiome-derived small molecule and protein therapeutics discovered through functional genomics

Category

Microbiome Analysis & Therapeutics

Founded

2010

Headquarters

Brisbane, CA, USA

Overview

Second Genome is a drug discovery company that mines the human microbiome's functional genomic diversity to identify and develop novel therapeutics. Rather than transplanting microbes, the company identifies bioactive proteins and small molecules naturally produced by gut bacteria and develops them as conventional pharmaceutical drugs. Its proprietary Microbiome Discovery Engine uses metagenomic sequencing of large clinical cohorts combined with machine learning to identify microbial gene products associated with disease states, then validates and optimizes lead candidates through medicinal chemistry. Pharmaceutical partners and Second Genome's internal pipeline teams use the Microbiome Discovery Engine to identify drug candidates in inflammatory bowel disease, metabolic syndrome, fatty liver disease, and oncology — areas where microbiome dysbiosis plays a mechanistic role. The company has generated multiple clinical and preclinical programs, including SG-3-1002 for ulcerative colitis and SGM-1019 for NASH. Partnerships with major pharmaceutical companies including Takeda and Pfizer have included multi-million dollar licensing arrangements. Second Genome's differentiation lies in its drug-centric view of the microbiome: by developing isolated, characterized molecules rather than living bacterial consortia, the company avoids the manufacturing complexity, regulatory uncertainty, and patient acceptance challenges associated with live biotherapeutic products. Its metagenomics-to-drug pipeline converts the chemical diversity of the human microbiome — estimated to encode hundreds of thousands of novel enzymes and peptides — into a systematic source of drug leads with known mechanisms of action. This approach positions microbiome science within familiar pharmaceutical drug development frameworks.

Key Features

16S & Shotgun Metagenomics

Characterize microbial communities with species-level resolution using 16S and shotgun sequencing.

Phage Therapy Design

AI-guided identification and engineering of bacteriophages for precision antimicrobial therapy.

Community Diversity Analysis

Alpha and beta diversity metrics with statistical testing for microbiome comparison studies.

Clinical Sample Processing

Standardized protocols for clinical microbiome sampling with chain-of-custody documentation.

Microbiome-Drug Interaction Prediction

Predict how microbiome composition affects drug metabolism and therapeutic efficacy.

Pros & Cons

Pros

  • +Longitudinal microbiome tracking monitors treatment response and community stability over time
  • +Engineered microbial therapeutics deliver precision treatments directly to gut or skin microbiomes
  • +AI-driven analysis identifies disease-associated microbiome signatures across patient cohorts
  • +16S and shotgun metagenomics pipelines characterize microbial communities with species-level resolution
  • +Clinical trial support includes microbiome sampling protocols and companion diagnostic development
  • +Strain-level analysis differentiates pathogenic from commensal variants within the same species

Cons

  • Long-term colonization and persistence of engineered microbes in patients remains unpredictable
  • Regulatory pathways for microbiome-based therapeutics are still being established
  • Manufacturing consistency for live biotherapeutic products presents unique quality control challenges
  • Causal relationships between microbiome changes and disease outcomes are often difficult to establish
  • Microbiome composition variability across individuals makes standardized therapeutic approaches challenging

Use Cases

Research Workflow Optimization

AI-powered optimization of research workflows to accelerate discovery timelines and improve reproducibility.

Data Analysis & Insights

Machine learning analysis of complex biological datasets to extract actionable insights and identify patterns.

Collaboration & Knowledge Management

Platform-enabled collaboration across distributed research teams with integrated data sharing and knowledge capture.

Last updated: February 19, 2026