Research Literature

AI Algorithms Identify the Crucial Salt Bridge to Treat Diabetes and Obesity

Original Article:

Yuan J.; et al. (2024). Molecular dynamics-guided optimization of BGM0504 enhances dual-target agonism for combating diabetes and obesity. Scientific Reports. 2024, 14(1).

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AI Technology for Alzheimer's Drug Development

Original Article:

Qiu Y.; et al. (2024). Artificial intelligence for drug discovery and development in Alzheimer's disease. Current Opinion in Structural Biology. 2024, 85: 102776.

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AI-assisted RNA-targeted Small Molecule Drug Discovery

Original Article:

Morishita E C.; et al. (2024). Recent applications of artificial intelligence in RNA-targeted small molecule drug discovery. Expert Opinion on Drug Discovery. 2024, 19(4): 415-431.

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The Development Process of the First AI Drug

Original Article:

Ren F.; et al. (2024). A small-molecule TNIK inhibitor targets fibrosis in preclinical and clinical models. Nature Biotechnology. 2024: 1-13.

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AI Accelerates Parkinson's Drug Discovery

Original Article:

Horne R I.; et al. (2024). Discovery of potent inhibitors of α-synuclein aggregation using structure-based iterative learning. Nature Chemical Biology. 2024: 1-12.

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Discovering RNA Viruses Through AI Technology

Original Article:

Hou, X.; et al. (2024). Using artificial intelligence to document the hidden RNA virosphere. Cell. 187(4), 1-14.

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Application of AI in Pathological Diagnosis

Original Article:

Shafi S.; et al. (2023). Artificial intelligence in diagnostic pathology. Diagnostic pathology. 2023, 18(1): 109.

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AI Tool Matches Anti-cancer Drugs to Patients

Original Article:

Sinha S.; et al. (2024). PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors. Nature Cancer. 2024: 1-15.

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AI Algorithms Drive Drug Repurposing

Original Article:

Rao M.; et al. (2023). Artificial Intelligence/Machine Learning-Driven Small Molecule Repurposing via Off-Target Prediction and Transcriptomics. Toxics. 2023, 11(10): 875.

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AI-assisted Discovery of New Materials for Energy Storage

Original Article:

Gurnani R.; et al. (2024). AI-assisted discovery of high-temperature dielectrics for energy storage. Nature communications. 2024, 15(1): 6107.

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AI-based Drug Toxicology Prediction

Original Article:

Tran T T V.; et al. (2023). Artificial intelligence in drug toxicity prediction: recent advances, challenges, and future perspectives. Journal of chemical information and modeling. 2023, 63(9): 2628-2643.

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Potential and Challenges of AI in Protein Design

Original Article:

Reardon S. (2024). Five protein-design questions that still challenge AI. Nature. 2024, 635(8037): 246-248.

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AI Predicts ADC Response in Oncology

Original Article:

Sobhani, Navid. (2024). Future AI Will Most Likely Predict Antibody-Drug Conjugate Response in Oncology: A Review and Expert Opinion. Cancers. 2024, 16, 3089.

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AI and the Management of Neuroscience

Original Article:

Surianarayanan C.; et al. (2023). Convergence of artificial intelligence and neuroscience towards the diagnosis of neurological disorders-a scoping review. Sensors. 2023, 23(6): 3062.

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Artificial Intelligence Transforms ECG Applications

Original Article:

Sau A.; et al. (2024). Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study. The Lancet Digital Health. 2024, 6(11): e791-e802.

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Gene Manipulation Enters the AI Era

Original Article:

Gosai S J.; et al. (2024). Machine-guided design of cell-type-targeting cis-regulatory elements. Nature. 2024: 1-10.

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