Choppr offers an AI-powered platform for rapid protein analysis, significantly reducing the time required from weeks to minutes. This enables researchers to accelerate their understanding of protein structures and functions.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional protein analysis methods are time-consuming, often taking weeks to yield results, which significantly slows down the pace of research and discovery in the life sciences. Analyzing the vast amounts of protein structure data generated by modern techniques requires efficient and user-friendly bioinformatics tools.
Solution
Choppr by Quandle Labs is an AI-powered bioinformatics platform designed to accelerate protein analysis, reducing the processing time from weeks to minutes. The platform offers predefined workflows and a suite of tools for tasks such as homology modeling, protein design, property prediction, and docking. Users can leverage tools like AlphaFold, ESMfold, and DiffDock within a completely online, cloud-based environment, eliminating the need for local GPU setup or coding. Choppr streamlines research by integrating tools for primary sequence, structural, and functional similarity searches, enabling researchers to explore complex protein structures and interactions with ease.
Target Audience
Choppr is designed for bioinformaticians, computational chemists, and life science researchers in academia and industry who need rapid and accurate protein analysis tools.
Features
- Predefined workflows for common bioinformatics tasks, including homolog search, phylogenetic tree construction, and protein design
- Integration of AI-powered tools such as AlphaFold, ESMfold, and ProteinMPNN for accurate protein structure prediction and design
- Molecular dynamics simulations using GROMACS for studying the dynamic behavior of biomolecular systems
- Protein-ligand docking capabilities using DiffDock-L, AutoDock Vina, and Smina for drug discovery
- Protein-protein interaction analysis using STRING and protein binding site prediction with ScanNet
- Cheminformatics tools for compound search, clustering, and ADMET property prediction
- Structure analysis tools including Fatcat, Combinatorial Extension, and TM Align
- Ability to create custom workflows using a drag-and-drop interface