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New All-atom Diffusion Tokenizer enables detailed 3D molecular structure generation

Researchers have introduced the All-atom Diffusion Tokenizer (ADT), a novel method for representing and generating 3D molecular structures. ADT addresses the trade-off between compact representations and detailed atomic reconstruction by using structural tokens that capture atomic information for small molecules and residue-level geometry for proteins. By employing diffusion models, ADT can recover fine-grained atomic geometry, enabling high-quality autoregressive generation of both small molecules and all-atom protein structures. AI

IMPACT Enables more detailed and accurate generation of 3D molecular structures, potentially accelerating drug discovery and materials science.

RANK_REASON The item is a research paper detailing a new method for molecular structure generation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New All-atom Diffusion Tokenizer enables detailed 3D molecular structure generation

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The item is a research paper detailing a new method for molecular structure generation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Xuantuo Huang, Encheng Su, Aoran Wang, Pan Tan, Shengyong Xu, Yizhou Wang, Chen Tang, Shixiang Tang, Mingxiao Li ·

    ADT: All-Atom Diffusion Tokenizer for 3D Molecular Structures

    arXiv:2610.23265v1 Announce Type: new Abstract: Discrete structural tokenization provides a promising route to autoregressive 3D molecular generation. Yet, existing tokenizers face a trade-off between compact representation and all-atom reconstruction: atom-level tokens preserve …