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Team KAIST

Korea Advanced Institute of Science and Technology

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Biology Disciplines

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Bioinformatics· 1

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Approach:deep learning· 1 Assay:protein sequence· 1 Research Focus:protein structure prediction· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Hyeongwoo KimiD· 1 shared Seokhyun MooniD· 1 shared Seonghwan SeoiD· 1 shared Woo Youn KimiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Hyeongwoo KimORCID

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1 paper

Recent·Most cited

AtlasFold: Protein structure prediction with metagenomic-scale language models

Seonghwan Seo, Hyeongwoo Kim, Seokhyun Moon, Woo Youn Kim, Team KAIST

The paper introduces AtlasFold, a protein structure prediction method using metagenomic-scale language models, achieving state-of-the-art accuracy and efficient inference.

bioRxiv · Sep 7, 2026 · PreprintBioinformatics