Skip to main content
S

Synthyra

Synthyra provides a proteome‑scale interaction platform that lets users input a protein or small molecule and instantly receive a scored network of all human protein partners, functional annotations, pathway enrichment, and a predicted 3D structure. 82, enabling faster target validation and lead prioritization.

NewarkFounded 20244100+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Current protein interaction databases cover only a small fraction of the >400 million possible pairwise interactions among the 20,000+ human proteins, leaving many potential partners untested and unknown. Researchers must rely on time‑consuming experiments or fragmented literature to infer functional networks, slowing target validation and lead prioritization.

Solution

Synthyra offers a proteome‑scale interaction platform that generates a complete, scored network of protein‑protein and protein‑ligand interactions for any input protein or small molecule in seconds. Its Atlas chemical language model predicts interactions across the entire human proteome with a validated AUROC of 0.82, providing confidence scores, functional annotations, pathway enrichment, and predicted 3D structures. The platform delivers results in real time via a web interface and supports API access for integration into existing workflows. By covering all 20,000+ proteins in a single query, Synthyra enables rapid target validation, lead prioritization, and cross‑species pathogen screening without the need for extensive wet‑lab assays.

Target Audience

Primary users are pharmaceutical and biotech researchers, academic scientists, and computational biologists who need comprehensive interaction maps for target discovery, lead optimization, and pathogen‑host studies.

Features

  • Proteome‑wide interaction screening (20,000+ human proteins) in a single query
  • Real‑time predictions of protein‑protein and protein‑ligand binding with AUROC 0.82 validated against wet‑lab data
  • Automatic functional annotation, pathway enrichment, and confidence scoring for each predicted partner
  • Integrated AlphaFold‑style 3D structure prediction for queried proteins and their predicted complexes
  • API access for batch processing, custom pipelines, and integration with internal bioinformatics tools
  • Cross‑species interaction mapping for rapid host‑pathogen analysis across 8+ organisms
  • Interactive web dashboard with downloadable results and visualization of interaction networks
This profile is AI-generated and may contain inaccuracies.