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Ingoo Lee
Ingoo Lee
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DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences
I Lee, J Keum, H Nam
PLoS computational biology 15 (6), e1007129, 2019
5022019
Artificial intelligence in drug discovery: a comprehensive review of data-driven and machine learning approaches
H Kim, E Kim, I Lee, B Bae, M Park, H Nam
Biotechnology and Bioprocess Engineering 25, 895-930, 2020
1092020
Identification of drug-target interaction by a random walk with restart method on an interactome network
I Lee, H Nam
BMC bioinformatics 19, 9-18, 2018
602018
AMP‐BERT: Prediction of antimicrobial peptide function based on a BERT model
H Lee, S Lee, I Lee, H Nam
Protein Science 32 (1), e4529, 2023
552023
Sequence-based prediction of protein binding regions and drug–target interactions
I Lee, H Nam
Journal of cheminformatics 14 (1), 5, 2022
452022
Evaluation of large language models for discovery of gene set function
M Hu, S Alkhairy, I Lee, RT Pillich, D Fong, K Smith, R Bachelder, T Ideker, ...
Nature methods, 1-10, 2024
182024
BayeshERG: a robust, reliable and interpretable deep learning model for predicting hERG channel blockers
H Kim, M Park, I Lee, H Nam
Briefings in Bioinformatics 23 (4), bbac211, 2022
182022
AI-based prediction of new binding site and virtual screening for the discovery of novel P2X3 receptor antagonists
KM Kang, I Lee, H Nam, YC Kim
European Journal of Medicinal Chemistry 240, 114556, 2022
92022
Infusing linguistic knowledge of SMILES into chemical language models
I Lee, H Nam
arXiv preprint arXiv:2205.00084, 2022
82022
G2PT: Mechanistic genotype-phenotype translation using hierarchical transformers
I Lee, S Park, H Nam, T Ideker
Cancer Research 84 (6_Supplement), 7383-7383, 2024
2024
Mechanistic genotype-phenotype translation using hierarchical transformers
I Lee, Z Wallace, S Park, H Nam, A Majithia, T Ideker
bioRxiv, 2024.10. 23.619940, 2024
2024
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