SynthyraThe Platform
SystemsBiology
inaSecond.
Enter a protein or small molecule. Get back a full proteome interaction network, functional annotations, pathway enrichment, and a predicted 3D structure. One query covers the entire human proteome.
The Problem
We grasp the parts. The connections are what's missing.
The human proteome contains over 20,000 proteins and more than 400 million possible pairwise interactions. Existing databases catalog only a fraction of them. The rest are untested, unpublished, unknown. Synthyra screens every possible interaction for any query protein in seconds and returns a scored interaction network, functional annotations, pathway enrichment, and a predicted 3D structure.
0%
of drugs fail clinical trials
0%
because of unmanageable toxicity
$0M+
average cost of late-stage failure
The Engine
SYNTERACT-4
A chemical language model that predicts protein-protein and protein-ligand interactions at proteome scale. The engine behind every query on Discover.
Proteome-Scale
Screen against all 20,000+ human proteins in a single query
Real-Time
375 million interactions per second
Validated
AUROC 0.82 with wet-lab confirmed designs
Value
Three pillars. One platform.
Faster Cures
Query any target protein and get its full interaction network, confidence scores, pathway enrichment, and functional annotations. Validate targets and prioritize leads with proteome-wide context.
Discovery & Design Suite
Rapid Defense
Screen pathogen proteins against the full human proteome in seconds. Predict cross-species interactions across 8+ organisms, including novel host-pathogen pairs no database has cataloged.
Biodefense Suite
Safer Drugs
Screen drug candidates against the entire proteome to surface off-target interactions. Functional annotations flag solubility, stability, and localization risks before you reach the clinic.
Safety & Toxicity Suite
Solutions
Purpose-built product suites.
Validation
Built on evidence. Verified in the lab.
Independent benchmarks, third-party wet-lab validation, millions of open-source downloads, billions of protein interactions screened.
MCC vs current state-of-the-art
Matthews Correlation Coefficient, Bernett Gold-standard PPI benchmark
Intra-species interactions, consistent across taxonomic diversity
Human, mouse, yeast, D. melanogaster, E. coli, C. elegans, D. rerio, A. thaliana.
Inter-species interactions, first better than random chance on human|sars-cov-2 interactions
human|sars-cov-2, human|sars-cov, human|hpv, human|hiv, human|hhv, human|mouse, human|rat, human|yeast, BIOGRID
0
AUROC: Core PPI prediction
Internal held-out evaluation sets, homology-aware clustering (30%), C3 dataset split by cluster
0
Novel predicted interactions characterized, 80 more on the way
BLI validation, Adaptyv Bio (third-party)
Model downloads
First version was open-source, global researcher adoption
Binding visualization
EGFR Binder Case Study
Wet-Lab ConfirmedSynthyra designed a variant of cetuximab (in orange), a multi-billion dollar cancer therapeutic, with 87% stronger binding affinity (630 pM Kd) to EGFR (in green). 13 designs tested, 11 strong binders, 1 medium binder, 5 sub 3 nM Kd, 6 stronger than cetuximab.
Biolayer Interferometry on recombinant targets, SDS-PAGE QC. Adaptyv Bio
Why Synthyra?
Predicting what databases can't catalog.
STRING is the gold standard for known protein interactions. Synthyra picks up where it leaves off.
STRING (Free)
- Catalogs ~2M known interactions curated from literature and experiments
- Coverage limited to what has been experimentally tested and published
- Updated periodically from new publications
- Excellent for exploring established biology
Synthyra
- Predicts novel interactions that have never been experimentally tested
- 35,859 novel EGFR interactions discovered in a single query
- Full proteome screen plus functional annotations, pathway enrichment, and 3D structure per query
- Validated with third-party wet-lab BLI experiments (Adaptyv Bio)
STRING tells you what's known. Synthyra tells you what's possible.
Ready to see the full picture?
Request access to Discover and map your proteome in seconds, not years.
or reach out at [email protected]