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Tran, Thi Tuyet Van, Tayara, Hilal, Chong, Kil To (2023) Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction. International Journal of Molecular Sciences, 24 (3) 1815 doi:10.3390/ijms24031815

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Reference TypeJournal (article/letter/editorial)
TitleRecent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction
JournalInternational Journal of Molecular Sciences
AuthorsTran, Thi Tuyet VanAuthor
Tayara, HilalAuthor
Chong, Kil ToAuthor
Year2023 (January 17)Volume24
Issue3
PublisherMDPI AG
DOIdoi:10.3390/ijms24031815Search in ResearchGate
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Mindat Ref. ID15671438Long-form Identifiermindat:1:5:15671438:1
GUID0
Full ReferenceTran, Thi Tuyet Van, Tayara, Hilal, Chong, Kil To (2023) Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction. International Journal of Molecular Sciences, 24 (3) 1815 doi:10.3390/ijms24031815
Plain TextTran, Thi Tuyet Van, Tayara, Hilal, Chong, Kil To (2023) Recent Studies of Artificial Intelligence on In Silico Drug Distribution Prediction. International Journal of Molecular Sciences, 24 (3) 1815 doi:10.3390/ijms24031815
In(2023, January) International Journal of Molecular Sciences Vol. 24 (3) MDPI AG

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Tran, Thi Tuyet Van, Tayara, Hilal, Chong, Kil To (2023) Recent Studies of Artificial Intelligence on In Silico Drug Absorption. Journal of Chemical Information and Modeling, 63 (20) 6198-6211 doi:10.1021/acs.jcim.3c00960
Tran, Thi Tuyet Van, Surya Wibowo, Agung, Tayara, Hilal, Chong, Kil To (2023) Artificial Intelligence in Drug Toxicity Prediction: Recent Advances, Challenges, and Future Perspectives. Journal of Chemical Information and Modeling, 63 (9) 2628-2643 doi:10.1021/acs.jcim.3c00200
Jaganathan, Keerthana, Tayara, Hilal, Chong, Kil To (2021) Prediction of Drug-Induced Liver Toxicity Using SVM and Optimal Descriptor Sets. International Journal of Molecular Sciences, 22 (15) 8073pp. doi:10.3390/ijms22158073
Ghimire, Ashutosh, Tayara, Hilal, Xuan, Zhenyu, Chong, Kil To (2022) CSatDTA: Prediction of Drug–Target Binding Affinity Using Convolution Model with Self-Attention. International Journal of Molecular Sciences, 23 (15) 8453 doi:10.3390/ijms23158453
Parvez, Aiman, Lee, Jeong-Sang, Alam, Waleed, Tayara, Hilal, Chong, Kil To (2024) Integrated Computational Approaches for Drug Design Targeting Cruzipain. International Journal of Molecular Sciences, 25 (7) 3747 doi:10.3390/ijms25073747
Pratiwi, Nor Kumalasari Caecar, Tayara, Hilal, Chong, Kil To (2024) An Ensemble Classifiers for Improved Prediction of Native–Non-Native Protein–Protein Interaction. International Journal of Molecular Sciences, 25 (11) 5957 doi:10.3390/ijms25115957
Bhattarai, Sadik, Kim, Kyu-Sik, Tayara, Hilal, Chong, Kil To (2022) ACP-ADA: A Boosting Method with Data Augmentation for Improved Prediction of Anticancer Peptides. International Journal of Molecular Sciences, 23 (20) 12194 doi:10.3390/ijms232012194
Jaganathan, Keerthana, Rehman, Mobeen Ur, Tayara, Hilal, Chong, Kil To (2022) XML-CIMT: Explainable Machine Learning (XML) Model for Predicting Chemical-Induced Mitochondrial Toxicity. International Journal of Molecular Sciences, 23 (24) 15655 doi:10.3390/ijms232415655
Ahmad, Waqar, Tayara, Hilal, Shim, HyunJoo, Chong, Kil To (2024) SolPredictor: Predicting Solubility with Residual Gated Graph Neural Network. International Journal of Molecular Sciences, 25 (2) 715 doi:10.3390/ijms25020715
Abbas, Zeeshan, Tayara, Hilal, Chong, Kil To (2022) ENet-6mA: Identification of 6mA Modification Sites in Plant Genomes Using ElasticNet and Neural Networks. International Journal of Molecular Sciences, 23 (15) 8314 doi:10.3390/ijms23158314
Khan, Asad, Tayara, Hilal, Chong, Kil To (2023) Prediction of organic material band gaps using graph attention network. Computational Materials Science, 220. 112063 doi:10.1016/j.commatsci.2023.112063
 
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