bioRxivBioinformaticsPreprint
How do Co-Folding Models Organize Structural Information?
Minha ParkiD, Shin‐Woo KimiD, Seokhyun MooniD, Hyeongwoo KimiD, 전규호, Woo Youn KimiD
- Citations
- 0
Abstract
Co-folding models accurately predict biomolecular complexes, but how their internal representations support joint structure prediction remains unclear. We analyze the Boltz-1 trunk by decomposing its pair representation into intra-chain and inter-chain blocks and applying ablation, layer-wise representation geometry, and activation patching. Our results show that structural information is distributed across three streams: the single representation carries token-internal atomic detail, the intra-chain pair representation encodes chain-level geometry, and the inter-chain pair representation controls relative molecular arrangement. Across the trunk depth, representations follow a Mix-Compress-Refine trajectory, while linear probes reveal that intra-chain distance content is largely supplied by MSA preconditioning and inter-chain distance content is constructed progressively across Pairformer layers at each recycle. Apo-holo patching further shows that ligand-induced backbone changes are not fully resolved before diffusion; instead, the diffusion module reconciles partially inconsistent intra- and inter-chain constraints. These findings provide a mechanistic view of how co-folding trunks organize structural information and suggest more partition-aware designs for future biomolecular structure prediction models.
- assay: protein structure
- research focus: protein structure prediction
- research focus: benchmarking
- approach: deep learning
- approach: contrastive learning
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Predicting conformational changes induced by biomolecular interactions
YeongNam Bae, Jinheon Baek, … Byung‐Ha Oh·bioRxiv·Oct 28, 2026
- CCfrag: Scanning folding potential of coiled-coil fragments with AlphaFold
Mikel Martínez-Goikoetxea·Bioinformatics AdvancesPeer-reviewed·Dec 5, 2024
- Adapting Co-Folding Models for Structure-Based Protein-Protein Docking Through Flow Matching
Da Zhuan Xu, Lee‐Shin Chu, Jeffrey J. Gray·PRX LifePeer-reviewed·Jul 8, 2026
- IntelliFold-2: Surpassing AlphaFold 3 via Architectural Refinement and Structural Consistency
Lifeng Qiao, Yan He, … Siqi Sun·bioRxiv·Feb 14, 2026
- End-to-end differentiable learning of protein structure
Mohammed AlQuraishi·Cell SystemsPeer-reviewed·Apr 1, 2019
- FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling
Jianwei Zhu, Yu Shi, … Tao Qin·bioRxiv·Oct 8, 2025