paper-with-me

Papers

Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection

2025-10-10 · Siyuan Chen, Minghao Guo, Caoliwen Wang, Anka He Chen, Yikun Zhang, Jingjing Chai, Yin Yang, Wojciech Matusik, Peter Yichen Chen arxiv

Biomolecular interaction modeling has been substantially advanced by foundation models, yet they often produce all-atom structures that violate basic steric feasibility. We address this limitation by enforcing physical validity as a strict constraint during both training and inference with a uniffed module. At its core is a differentiable projection that maps the provisional atom coordinates from the diffusion model to the nearest physically valid conffguration. This projection is achieved using a Gauss-Seidel scheme, which exploits the locality and sparsity of the constraints to ensure stable and fast convergence at scale. By implicit differentiation to obtain gradients, our module integrates seamlessly into existing frameworks for end-to-end ffnetuning. With our Gauss-Seidel projection module in place, two denoising steps are sufffcient to produce biomolecular complexes that are both physically valid and structurally accurate. Across six benchmarks, our 2-step model achieves the same structural accuracy as state-of-the-art 200-step diffusion baselines, delivering approximately 10 times faster wall-clock speed while guaranteeing physical validity. The code is available at https://github.com/chensiyuan030105/ProteinGS.git.

📄 PDF Abstract BibTeX arXiv:2510.08946

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

A Scalable and Quantum-Accurate Foundation Model for Biomolecular Force Field via Linearly Tensorized Quadrangle Attention

2025-07-01 · Qun Su, Kai Zhu, Qiaolin Gou, Jintu Zhang 외 arxiv

Accurate atomistic biomolecular simulations are vital for disease mechanism understanding, drug discovery, and biomaterial design, but existing simulation methods exhibit significant limitations. Classical force fields a…

Drug Discovery

SVSBI: Sequence-based virtual screening of biomolecular interactions

2022-12-27 · Li Shen, Hongsong Feng, Yuchi Qiu, Guo-Wei Wei

Virtual screening (VS) is an essential technique for understanding biomolecular interactions, particularly, drug design and discovery. The best-performing VS models depend vitally on three-dimensional (3D) structures, wh…

Drug DesignDrug DiscoveryMolecular Docking

Algebraic graph learning of protein-ligand binding affinity

2018-12-20

Although algebraic graph theory based models have been widely applied in physical modeling and molecular studies, they are typically incompetent in the analysis and prediction of biomolecular properties when compared wit…

Graph Learning

Learning Physics-Grounded 4D Dynamics with Neural Gaussian Force Fields

2026-01-29 · Shiqian Li, Ruihong Shen, Junfeng Ni, Chang Pan 외 arxiv

Predicting physical dynamics from raw visual data remains a major challenge in AI. While recent video generation models have achieved impressive visual quality, they still cannot consistently generate physically plausibl…

Video GenerationVideo Prediction

THOM: Generating Physically Plausible Hand-Object Meshes From Text

2026-04-03 · Uyoung Jeong, Yihalem Yimolal Tiruneh, Hyung Jin Chang, Seungryul Baek 외 arxiv

Generating photorealistic 3D hand-object interactions (HOIs) from text is important for applications like robotic grasping and AR/VR content creation. In practice, however, achieving both visual fidelity and physical pla…

Robotic Grasping