Work

ASO-RASAR: A Read-Across Framework for Predicting Antisense Oligonucleotide Gapmer Activity Across Target Genes

Year: 2026

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.6c01314

Authors: Seokyoung Hwang, Min Ju Lee, Junpyo Gong, In Guk Park, Minkyu Kim, Jayhyun Cho, Junseo Kang, Uijae Kim, Yeonjin Lee, Sein Park, Jooeun Park, Yoojin Shim, Yanlin Li, Kyuho Park, Sun Hee Jin, Min Won Ki, Seungchan An, Minsoo Noh

Institution: Seoul National University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Ministry of Food and Drug Safety, National Research Foundation of Korea

Awards: G3292938974, G3440651618, G7132792363

OpenAlex ID: W7166354665

FWCI: 3.69

Cites: 64

Cited by: 1

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