use crate::{
LaunchType, License, LicenseCategory, ProcessExpense, SpecData, ToolCategory,
tool_definitions::{
Tool,
catalog::{CatalogEntry, DataType, Identity, PrimaryInput},
},
};
pub const ENTRY: CatalogEntry = CatalogEntry {
identity: Identity::Installed(Tool::BoltzGen),
categories: &[
ToolCategory::PeptideBinderDesign,
ToolCategory::ProteinDesign,
ToolCategory::AntibodyDesign,
],
launch_type: LaunchType::PythonBasedApp,
license_type: LicenseCategory::Permissive,
expense: ProcessExpense::Expensive,
primary_output: None,
primary_inputs: &[PrimaryInput::new("target_file", &[DataType::Pdb, DataType::MmCif])],
top_choice: true,
spec: SpecData {
summary: "Designs proteins and peptides that bind to a wide range of biomolecular targets.",
description: "It unifies design and structure prediction, resulting in a single model that also
achieves state-of-the-art folding performance.
BoltzGen was developed at MIT and experimentally validated in a large-scale distributed effort involving
multiple academic and industry labs.
Explicitly focuses our experimental validation on targets that are highly dissimilar to any proteins for
which bound structures exist.",
availability: "Installed by setup_system.sh into its own uv environment; approximately 6 GB of \
model weights download separately",
license_details: "MIT, covering the weights and training data as well as the inference code: unrestricted academic and commercial use.",
repo_url: Some("https://github.com/HannesStark/boltzgen"),
home_url: Some("https://boltz.bio/boltzgen"),
docs_url: None,
input_params_url: None,
examples_url: None,
paper_url: Some("https://www.biorxiv.org/content/10.1101/2025.11.20.689494"),
license: License::Mit,
license_url: None,
tested: false,
},
};