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AIGENDRUG Co., Ltd. (South Korea)

Homepage: aigendrug.com
Alternate names: AIGENDRUG, AIGENDRUG Co., Ltd., 주식회사 아이겐드럭
ROR: 024hrkc58
OpenAlex ID: I4405271246
Biomedical knowledge graph learning for drug repurposing by extending guilt-by-association to multiple layers
2023 · Dongmin Bang, Sangsoo Lim, et al. · Nature Communications · 141
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DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer
2022 · Jihye Shin, Yinhua Piao, et al. · International Journal of Molecular Sciences · 61
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Sparse Structure Learning via Graph Neural Networks for Inductive Document Classification
2022 · Yinhua Piao, Sangseon Lee, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 58
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Learning the histone codes with large genomic windows and three-dimensional chromatin interactions using transformer
2022 · Dohoon Lee, Jeewon Yang, et al. · Nature Communications · 40
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Adipocyte HIF2α functions as a thermostat via PKA Cα regulation in beige adipocytes
2022 · Ji Seul Han, Yong Geun Jeon, et al. · Nature Communications · 31
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Supervised chemical graph mining improves drug-induced liver injury prediction
2022 · Sangsoo Lim, Youngkuk Kim, et al. · iScience · 25
On modeling and utilizing chemical compound information with deep learning technologies: A task-oriented approach
2022 · Sangsoo Lim, Sangseon Lee, et al. · Computational and Structural Biotechnology Journal · 23
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GOAT: Gene-level biomarker discovery from multi-Omics data using graph ATtention neural network for eosinophilic asthma subtype
2023 · Dabin Jeong, Bonil Koo, et al. · Bioinformatics · 22
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Improved drug response prediction by drug target data integration via network-based profiling
2023 · Minwoo Pak, Sangseon Lee, et al. · Briefings in Bioinformatics · 21
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ADME-drug-likeness: enriching molecular foundation models via pharmacokinetics-guided multi-task learning for drug-likeness prediction
2025 · Dongmin Bang, Juyeon Kim, et al. · Bioinformatics · 20
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Transfer learning of condition-specific perturbation in gene interactions improves drug response prediction
2024 · Dongmin Bang, Bonil Koo, et al. · Bioinformatics · 20
A model-agnostic framework to enhance knowledge graph-based drug combination prediction with drug–drug interaction data and supervised contrastive learning
2023 · Jeonghyeon Gu, Dongmin Bang, et al. · Briefings in Bioinformatics · 18
Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction
2025 · Sumin Ha, Dongmin Bang, et al. · Journal of Cheminformatics · 14
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Increased local DNA methylation disorder in AMLs with DNMT3A-destabilizing variants and its clinical implication
2025 · Dohoon Lee, Bonil Koo, et al. · Nature Communications · 14
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Exploring chemical space for lead identification by propagating on chemical similarity network
2023 · Jungseob Yi, Sangseon Lee, et al. · Computational and Structural Biotechnology Journal · 11
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Multi-layered knowledge graph neural network reveals pathway-level agreement of three breast cancer multi-gene assays
2024 · Sangseon Lee, Joonhyeong Park, et al. · Computational and Structural Biotechnology Journal · 10
Knowledge-guided artificial intelligence technologies for decoding complex multiomics interactions in cells
2021 · Dohoon Lee, Sun Kim · Korean Journal of Pediatrics · 10
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MixingDTA: improved drug–target affinity prediction by extending mixup with guilt-by-association
2025 · Youngoh Kim, Dongmin Bang, et al. · Bioinformatics · 8
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DiSCO: Diffusion Schrödinger Bridge for Molecular Conformer Optimization
2024 · Danyeong Lee, Dohoon Lee, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 8
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A Survey on Computational Methods for Investigation on ncRNA-Disease Association through the Mode of Action Perspective
2022 · Dongmin Bang, Jeonghyeon Gu, et al. · International Journal of Molecular Sciences · 8
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Transcriptome Transformer: improving patient survival prediction via multitask learning of transcriptomic and clinical features
2025 · Bonil Koo, Inyoung Sung, et al. · Briefings in Bioinformatics · 7
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DGDRP: drug-specific gene selection for drug response prediction via re-ranking through propagating and learning biological network
2024 · Minwoo Pak, Dongmin Bang, et al. · Frontiers in Genetics · 7
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AutoCoV: tracking the early spread of COVID-19 in terms of the spatial and temporal patterns from embedding space by K-mer based deep learning
2022 · Inyoung Sung, Sangseon Lee, et al. · BMC Bioinformatics · 7
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EnsDTI: Predicting Drug-Target Interaction With Mixture-of-Experts and Confidence Assessment
2026 · Yijingxiu Lu, Sangseon Lee, et al. · IEEE Transactions on Computational Biology and Bioinformatics · 5
ChemAP: predicting drug approval with chemical structures before clinical trial phase by leveraging multi-modal embedding space and knowledge distillation
2024 · Changyun Cho, Sangseon Lee, et al. · Scientific Reports · 5
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Works count: 55
Citation count: 1,037
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