Quick Start
Get up and running with BioDreamer in minutes.
Installation
pip
pip install bio-dreamerRequires Python ≥ 3.9 and PyTorch ≥ 2.1
Basic Usage
from biodreamer import ProteinDreamer # Load a pre-trained world model dreamer = ProteinDreamer.from_pretrained("biodreamer/protein-dreamer-v1") # Define wild-type sequence and objective result = dreamer.design( sequence="MVLSPADKTNVKAAWGKVGAHAGEYGAEALERMFLSFPTTKTYFPHFDLSH...", objective="stability", n_steps=10, n_candidates=50, ) # Ranked mutation paths dreamed in the world model for candidate in result.top_candidates(5): print( candidate.mutations, candidate.predicted_fitness)
What's Next
This section will expand as the project matures. Full documentation will cover advanced configuration, custom training, active learning loops, and the API server.