01
Sequence becomes a physical system
A base change is evaluated through its consequences for local state, structure, accessibility, and interaction—not treated only as a symbol or statistical feature.
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Genome Physics solutions · In development
Genome Physics Solutions
Sequence analysis, variant interpretation, therapeutic candidate triage, and constrained design.
FluxMateria is developing a family of research-use modules for genomics, oligo therapeutics, resistance analysis, gene-editing workflows, and synthetic constructs.
The vision
Make the physical consequences of sequence computable before experiment.
FluxMateria's vision is to calculate what DNA and RNA will physically do—how a sequence pairs, folds, twists, opens, binds, fails, and can be improved—before a research team synthesizes and tests it.
Why this is a breakthrough
Modern genomics can read sequences, compare them, and find statistical associations at enormous scale. The breakthrough is a physical computation layer between sequence and experiment: one that can explain why a change matters, evaluate alternatives, and guide the next design decision. What makes this revolutionary is the shift from correlating sequences with outcomes to calculating the physical causes that make one sequence behave differently from another.
02
Separate tools become one workflow
Sequence analysis, structural effects, molecular interaction, variant interpretation, candidate ranking, and redesign can be connected through one auditable computational chain.
03
Design moves ahead of synthesis
Large candidate spaces can be narrowed, failure mechanisms identified, and constrained improvements proposed before the most expensive structural and experimental work begins.
Customer workflows
The decisions Genome Physics is being built to support.
Each workflow starts with a defined sequence, variant, target, or candidate set and returns outputs that a research team can review, compare, and test.
01
Scan a sequence
Map local sequence state, structural risk, opening tendency, and mutation sensitivity across DNA or RNA.
02
Explain a variant
Compare reference and altered states, identify the physical delta, and report affected interactions and missing context.
03
Prioritize candidates
Compare oligos, guides, primers, and probes before committing the full set to experimental testing.
04
Respond to resistance
Assess mutation-driven interaction changes, rank retained activity, and surface rescue or backup candidates.
Current development and planned modules
Eight solutions organized around research tasks.
The first four workflows are the current development focus. Later modules will advance only after their required inputs, outputs, benchmarks, and review boundaries are established.
Genome Physics Scanner
Accept DNA or RNA sequences and return position-by-position maps of local state, structural risk, and mutation sensitivity.
Variant Mechanism
Compare reference and altered sequences or targets and produce a research-use report of physical changes, affected interactions, confidence, and missing context.
Oligo Triage
Rank ASOs, siRNAs, guides, primers, and probes using target compatibility, mismatch response, self-structure, and off-target considerations.
Resistance Rescue
Analyze mutated targets, compare candidates that retain interaction, explain resistance, and identify rescue or backup strategies for testing.
Oligo Designer
Generate alternatives under target, length, motif, chemistry, and manufacturability constraints, then return ranked designs and trade-offs.
Construct Optimizer
Review mRNA, plasmid, vector-payload, and synthetic-construct risks and propose bounded changes that preserve declared functions and constraints.
Protein–Nucleic-Acid Physics
Evaluate sequence-specific interaction geometry, mutation effects, competing states, interaction loss, and candidate redesign.
Regulatory Designer
Analyze and eventually design promoters, UTRs, splice regions, terminators, and compact regulatory modules toward validated objectives.
Project workflow
From defined inputs to reviewable outputs.
Genome Physics projects will make the calculation scope, design constraints, output type, and evidence status explicit.
What a team provides
Sequence dataDNA, RNA, FASTA, variant, reference, or altered sequence
System contextTarget, interaction, environment, and measured conditions where available
Candidate setOligos, guides, probes, constructs, compounds, or permitted design space
ConstraintsLength, motif, chemistry, function, safety, and manufacturability requirements
What the module will return
Physical mapsPosition-level tracks, structural-risk regions, and sensitivity views
Delta reportsReference-versus-variant changes, affected interactions, and uncertainty
Ranked candidatesPrioritized options, trade-offs, redesigns, and backup strategies
Audit artifactsVersioned inputs, scope, provenance, limitations, and validation status
Release boundaries
Research use first, with evidence attached.
The page describes work in development, not currently available production modules or clinical capabilities.
Declared availability
Every solution is labeled by development stage. Planned capabilities are not presented as available software.
Independent validation
Claims advance only through frozen, scoped, independently scored tests and clearly reported limitations.
Review validation →Human review and safety
Supported work remains bounded, research-use, and subject to purpose, target, output, and biosecurity controls.
Read the boundary →Genome Physics collaborations
Bring a bounded sequence, variant, or candidate-prioritization problem.
Early collaborations will help define useful inputs, decision-ready outputs, benchmarks, and prospective validation studies for the first modules.