The startup develops a computational biology platform that utilizes machine learning tools to enhance research workflows in synthetic biology, pharmaceuticals, and medical research. By providing user-friendly integration with various research pipelines, the platform enables researchers to efficiently access and implement advanced models, accelerating scientific discoveries.
Funding
$300K 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
Wet-lab experiments in synthetic biology, pharmaceutical, and medical research are often time-consuming and resource-intensive. Accessing and implementing advanced computational models to guide these experiments can be challenging, requiring specialized expertise and infrastructure.
Solution
Neurosnap provides a no-code, online platform that streamlines computational biology workflows, enabling researchers to efficiently design and analyze biomolecules. The platform offers a suite of tools and services, including protein folding, molecular docking, drug discovery, and protein engineering, accessible through an intuitive interface. Researchers can leverage cutting-edge models and algorithms without needing coding experience or specialized hardware. Neurosnap's platform ensures data privacy and security, giving users full ownership of their intellectual property. The platform offers both individual and team-based solutions, with options for academic and commercial use.
Target Audience
The primary target audience includes researchers in synthetic biology, pharmaceuticals, and medical research, as well as academics and commercial entities involved in protein engineering, drug discovery, and related fields.
Features
- Optimized AlphaFold2 implementation for accurate protein and complex structure prediction
- Molecular docking tools for analyzing protein-protein, protein-ligand, and protein-nucleic acid interactions
- Generative models for designing novel proteins and enzymes
- In silico mutagenesis pipelines for creating and screening protein variants
- RNASeq pipelines for transcript assembly and differential expression analysis
- NeuroFold, a proprietary model for optimizing enzyme thermostability, pH stability, solubility, and reaction rate
- API access for programmatic integration of Neurosnap tools into existing workflows
- Secure and private platform with full ownership of intellectual property