N99protein provides a cloud‑based platform that combines AI‑driven de novo protein design, high‑accuracy structure prediction, and functional annotation into a unified workflow. Users can upload sequences or specify target properties to receive candidate models, stability scores, and suggested mutations, with interactive 3D visualizations and integration to LIMS for seamless transition to wet‑lab testing.
Funding
$1.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Researchers and biotech companies often struggle to design, analyze, and optimize novel proteins due to limited computational tools, fragmented data sources, and high experimental costs.
Solution
N99protein offers a cloud-based platform that integrates advanced AI-driven protein design, structural prediction, and functional annotation into a single workflow. Users can upload sequence data or define target properties, and the system generates candidate protein models, predicts stability and activity, and suggests mutations for improvement. The platform provides interactive visualizations of 3D structures and integrates with common laboratory information management systems to streamline the handoff from in silico design to wet‑lab testing. By automating routine analyses and offering scalable compute resources, N99protein reduces the time and expense required to bring engineered proteins from concept to prototype.
Target Audience
Primary customers are biotech firms, pharmaceutical R&D teams, and academic laboratories focused on protein engineering, therapeutic development, and enzyme optimization.
Features
- AI-powered de novo protein design engine with customizable fitness objectives
- High‑accuracy structure prediction using state‑of‑the‑art deep learning models
- In silico mutagenesis and stability scoring to guide experimental optimization
- Interactive 3D visualization tools with real‑time annotation capabilities
- API and LIMS integration for seamless data exchange between computational and laboratory workflows
- Scalable cloud compute infrastructure that handles large‑scale design campaigns