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Peer-Reviewed Publication
Brief Bioinform2024;25(2)January 22, 2024Journal Article

Standigm ASK™: knowledge graph and artificial intelligence platform applied to target discovery in idiopathic pulmonary fibrosis.

Seokjin Han1, Ji Eun Lee2, Seolhee Kang1, Minyoung So1, Hee Jin2, Jang Ho Lee1, Sunghyeob Baek1, Hyungjin Jun1, Tae Yong Kim1, Yun-Sil Lee2
1Standigm Inc., Nonhyeon-ro 85-gil, 06234, Seoul, Republic of Korea.
2College of Pharmacy, Ewha Womans University, Ewhayeodae-gil, 03760, Seoul, Republic of Korea.
PubMed PMC DOI PDF

Abstract

Standigm ASK™ revolutionizes healthcare by addressing the critical challenge of identifying pivotal target genes in disease mechanisms-a fundamental aspect of drug development success. Standigm ASK™ integrates a unique combination of a heterogeneous knowledge graph (KG) database and an attention-based neural network model, providing interpretable subgraph evidence. Empowering users through an inte…

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