axíōma provides an advanced protein search engine capable of similarity matching across both sequence and structure within a comprehensive database exceeding 4.3 billion entries. Users can rapidly filter and analyze results using visual tools and advanced analytics to identify relevant matches. The platform is designed to make large-scale biological data AI-ready by allowing seamless enrichment with user-specific information.
Funding
Funding not disclosed
Founders
Product
Problem
Researchers often need to identify proteins that are similar in sequence or three‑dimensional structure across vast public repositories. Existing tools typically handle only one modality, cover limited datasets, and provide minimal analytics, making it difficult to generate high‑quality, AI‑ready protein sets for downstream experiments.
Solution
axíōma offers a web‑based search platform that simultaneously evaluates sequence similarity and structural homology against a unified index of more than 4.3 billion protein entries drawn from over 50 curated sources. Users submit a protein sequence or structure, receive ranked matches enriched with functional annotations, and can refine results through multi‑dimensional filters. The service includes interactive clustering visualizations and statistical dashboards that help pinpoint the most relevant proteins. Export options support common research formats and allow seamless integration into existing pipelines, while the platform’s data‑ownership model ensures that all retrieved sequences remain the user’s property without vendor‑imposed restrictions. The architecture is designed for iterative learning, enabling users to augment search results with proprietary data to improve model training and discovery cycles.
Target Audience
The primary users are academic and industry researchers, bioinformaticians, and computational biologists who require large‑scale protein similarity searches and curated datasets for drug discovery, enzyme engineering, or machine‑learning applications.
Features
- Unified search engine that computes both sequence similarity scores and structural homology metrics in a single query<br/>
- Index of >4.3 billion protein entries from 50+ public and specialized databases, continuously updated<br/>
- Rich functional and taxonomic annotations attached to each hit for higher‑quality downstream analysis<br/>
- Interactive web interface for filtering by physicochemical properties, clustering results, and visualizing protein relationship graphs<br/>
- Built‑in statistical tools for property distribution analysis and cluster validation<br/>
- Export functionality in multiple formats (FASTA, CSV, JSON) to support bioinformatics pipelines and AI model training<br/>
- User‑data enrichment capability that incorporates proprietary sequences into the search index for iterative learning without sharing ownership rights<br/>
- Cloud‑hosted service with secure, encrypted data transmission and role‑based access controls