Platforms
Genfoquest Analytica provides a modular computational platform stack for immunotherapy and molecular discovery. Each platform component converts complex biological inputs into standardized intelligence outputs for target, modality, and risk decisions.
Context
Modern discovery relies on multiple interacting biological layers across cell state, target biology, and safety context. Single-source analysis does not capture enough signal for robust prioritization. The Genfoquest platform stack integrates these layers into consistent, decision-ready outputs that can be reused across program stages.
Platform Overview
Each platform module has a defined analytical role, scoped inputs, and structured outputs, so discovery teams can combine them as a repeatable decision system.
Platform 01 · Cellular Context
Single-cell Quest is the cell-state intelligence module. It maps disease biology at cellular resolution by linking transcriptional programs, lineage composition, and microenvironment signals, then returns prioritized target hypotheses tied to specific cell populations.
Primary Platform Role: Cell-State Intelligence for Target Selection
Core Capabilities
Platform 02 · Surface Intelligence
SurfACE-MT is the surface-target design module. It evaluates membrane target opportunities for therapeutic access and selectivity, and outputs ranked single-target and combinatorial target configurations for modality planning.
Primary Platform Role: Surface Target Configuration and Ranking
Core Capabilities
Platform 03 · Safety Intelligence
Toxicome is the preclinical risk intelligence module. It links target profiles to known liability patterns across tissues and immune-response signals, then produces structured risk flags and mitigation-oriented evidence for early gate decisions.
Primary Platform Role: Early Liability Intelligence and De-Risking
Core Capabilities
Unified Workflow
The modules run as one coordinated platform workflow, with outputs from each stage feeding the next stage in a consistent format.
Ingest and normalize multi-omics inputs into a common analysis-ready layer.
Fuse cross-modal signals to generate coherent biological context profiles.
Produce ranked candidate targets with standardized scoring and rationale tags.
Attach early liability and immunogenicity risk indicators to each candidate.
Export decision packages for go/no-go review and validation prioritization.
Differentiation
Evidence is combined across data types instead of relying on one signal source.
Outputs are interpreted with disease, tissue, and mechanism context in view.
Each output object links to source evidence for reproducible review and audit trails.
Designed for milestone workflows with structured outputs, not one-off analytics summaries.
Output Value
Outputs are formatted for portfolio reviews, stage-gate meetings, and partner evaluations with clear rationale and transparent assumptions.
Next Step
See how the platform modules map to target, binder, and risk workflows, or connect with us to evaluate platform fit for your program.