Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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Collaborations and top research areas from the last five years
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AI and experimental convergence: a synergistic pathway to JAK2 inhibitor discovery
Maryam, Cho, H., Pokhrel, A., Chandra, S., Chae, H. J., Chong, K. T. & Tayara, H., 2026.05, In: Acta Pharmacologica Sinica. 47, 5, p. 1361-1373 13 p.Research output: Contribution to journal › Journal article › peer-review
Open Access -
Ferroptosis-related mechanisms in prion diseases provide insights into neurodegeneration and reveal therapeutic implications
Zayed, M., Tayara, H. & Jeong, B. H., 2026.06, In: Redox Biology. 93, 104155.Research output: Contribution to journal › Journal article › peer-review
Open Access -
PeptideNet: An Integrative Deep Learning Framework for Predicting Diverse Bioactive Peptides Using Protein Language Model Embeddings
Zahid, H., Maryam, To Chong, K. & Tayara, H., 2026.03.9, In: Journal of Chemical Information and Modeling. 66, 5, p. 2616-2626 11 p.Research output: Contribution to journal › Journal article › peer-review
1 Link opens in a new tab Scopus citations -
A multimodule graph-based neural network for accurate drug-target interaction prediction via genomic, proteomic, and structural data fusion
Maryam, Chong, K. T. & Tayara, H., 2025.08, In: International Journal of Biological Macromolecules. 320, 145907.Research output: Contribution to journal › Journal article › peer-review
Open Access4 Link opens in a new tab Scopus citations -
An accurate prediction of drug–drug interactions and side effects by using integrated convolutional and BiLSTM networks
Ali, S., Alam, W., Tyara, H. & Chong, K. T., 2025.02.15, In: Chemometrics and Intelligent Laboratory Systems. 257, 105304.Research output: Contribution to journal › Journal article › peer-review
15 Link opens in a new tab Scopus citations
Press/Media
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HMN 2026: How Deep learning model enables accurate and scalable drug-drug interaction prediction
26.03.20
1 item of Media coverage
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Jeonbuk National University Researchers Develop DDINet For Accurate and Scalable Drug-Drug Interaction Prediction
26.03.11 → 26.03.13
9 items of Media coverage
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Jeonbuk National University researchers develop DDINet for accurate and scalable drug-drug interaction prediction
26.03.11 → 26.03.13
2 items of Media coverage
Press/Media
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Jeonbuk National University Researchers Unveil DDINet: A Breakthrough for Precise and Scalable Drug-Drug Interaction Prediction
26.03.11
2 items of Media coverage
Press/Media