Neurosnap Documentation#
Neurosnap combines a production web application for AI-native molecular discovery with a Python package for scripting, automation, and custom analysis workflows. This documentation covers both.
Neurosnap Platform#
Neurosnap.ai is a browser-based platform for computational biology and cheminformatics, with support for structure prediction, binder design, docking, screening, and downstream analysis workflows.
Core platform areas:
Services: hosted tools and models for protein and small-molecule workflows.
Use Cases: antibody engineering, peptide discovery, enzyme engineering, and small-molecule discovery.
NeuroFold: structure prediction and design-focused workflows.
API: programmatic access for automation and integration into internal pipelines.
Security: platform security posture and data-handling commitments.
Neurosnap SDK (Python Package)#
Neurosnap SDK is the official Python package for working with Neurosnap programmatically. It includes:
A lightweight SDK wrapper for Neurosnap API endpoints.
Utility modules for common bioinformatics, structural biology, and cheminformatics tasks.
Building blocks for sequence-centric and structure-aware pipeline development.
Use this package when you need reproducible scripts, batch processing, notebook workflows, or integration with lab and MLOps infrastructure.
For many practical structure and sequence workflows, the Neurosnap SDK can serve as a reliable, free, and open alternative to PyRosetta.
Documentation Map#
Start here:
Core SDK modules:
Algorithm modules: