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20242026
most citedDiffusion Language Models Are Versatile Protein Learners

18 citations · 35 across the 10 of their papers we have counts for

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5 papers · 1 filter

q-bio.BM2024

ProteinWeaver: A Divide-and-Assembly Approach for Protein Backbone Design

Yiming Ma, Fei Ye, Yi Zhou +3

Nature creates diverse proteins through a 'divide and assembly' strategy. Inspired by this idea, we introduce ProteinWeaver, a two-stage framework for protein backbone design. Our…

cs.LG2024★ 7 cited

DPLM-2: A Multimodal Diffusion Protein Language Model

Xinyou Wang, Zaixiang Zheng, Fei Ye +3

Proteins are essential macromolecules defined by their amino acid sequences, which determine their three-dimensional structures and, consequently, their functions in all living org…

q-bio.QM2024★ 3 cited

ProteinBench: A Holistic Evaluation of Protein Foundation Models

Fei Ye, Zaixiang Zheng, Dongyu Xue +7

Recent years have witnessed a surge in the development of protein foundation models, significantly improving performance in protein prediction and generative tasks ranging from 3D…

q-bio.BM2024★ 7 cited

Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization

Xiangxin Zhou, Dongyu Xue, Ruizhe Chen +3

Antibody design, a crucial task with significant implications across various disciplines such as therapeutics and biology, presents considerable challenges due to its intricate nat…

cs.LG2024★ 18 cited

Diffusion Language Models Are Versatile Protein Learners

Xinyou Wang, Zaixiang Zheng, Fei Ye +3

This paper introduces diffusion protein language model (DPLM), a versatile protein language model that demonstrates strong generative and predictive capabilities for protein sequen…