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Anatomy of BoltzGen

A comprehensive exploration of BoltzGen's architecture: from molecular representations to diffusion-based generation of protein binders. This article provides a deep dive into the design principles, training methodology, and inference pipeline of BoltzGen, an all-atom diffusion model for biomolecular binder design.

Article Overview

This article explores the complete architecture of BoltzGen, covering:

  • —Molecular Representations: The 14-atom representation scheme for encoding amino acids in continuous 3D space
  • —Input Embedding: Hierarchical encoding from atoms to tokens using the trunk module
  • —Pairwise Features: Building geometric relationships through Pairformer blocks and triangle attention
  • —Diffusion Process: EDM-based sampling with dilated scheduling for protein generation
  • —Training Methodology: Multi-task learning with diverse conditioning strategies
  • —Inference Pipeline: Design specification language and the complete BoltzGen pipeline

The article includes interactive visualizations, mathematical formulations, and detailed explanations of each component.

Article Details

  • —Title: Anatomy of BoltzGen
  • —Author: Ludovico Comito
  • —Published: November 20, 2025
  • —Author URL: https://ludocomito.dev/