Transfer learning enhanced graph neural network for aldehyde oxidase metabolism prediction and its experimental application

Xiong, Jiacheng; Cui, Rongrong; Li, Zhaojun; Zhang, Wei; Zhang, Runze; Fu, Zunyun; Liu, Xiaohong; Li, Zhenghao; Chen, Kaixian; Zheng, Mingyue

doi:10.1016/j.apsb.2023.10.008

Acta Pharmaceutica Sinica B

2024

DOI: 10.1016/j.apsb.2023.10.008

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Transfer learning enhanced graph neural network for aldehyde oxidase metabolism prediction and its experimental application

Jiacheng Xiong,

Rongrong Cui,

Zhaojun Li

et al.

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GPCRSPACE: A New GPCR Real Expanded Library Based on Large Language Models Architecture and Positive Sample Machine Learning Strategies

Chen,

Zhong

2024

J. Med. Chem.

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The quest for novel therapeutics targeting G proteincoupled receptors (GPCRs), essential in numerous physiological processes, is crucial in drug discovery. Despite the abundance of GPCR-targeting drugs, many receptors lack selective modulators, indicating a significant untapped therapeutic potential. To bridge this gap, we introduce GPCRSPACE, a novel GPCR-focused purchasable real chemical library developed using the G protein-coupled receptors large language models (GPCR LLM) architecture. Different from traditional machine learning models, GPCR LLM uses a positive sample machine learning strategy for training and does not need to construct any negative samples. This not only reduces false negatives but also reduces the time to label negative samples. GPCR LLM accelerates the identification and screening of potential GPCR-interactive compounds by learning the chemical space of GPCR-targeting molecules. GPCRSPACE, built on GPCR LLM, outperforms existing chemical data sets in synthesizability, structural diversity, and GPCRlikeness, making it a valuable tool for GPCR drug discovery.

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GPCRSPACE: A New GPCR Real Expanded Library Based on Large Language Models Architecture and Positive Sample Machine Learning Strategies

Chen,

Zhong

2024

J. Med. Chem.

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Transfer learning enhanced graph neural network for aldehyde oxidase metabolism prediction and its experimental application

Cited by 1 publication

References 44 publications

GPCRSPACE: A New GPCR Real Expanded Library Based on Large Language Models Architecture and Positive Sample Machine Learning Strategies

GPCRSPACE: A New GPCR Real Expanded Library Based on Large Language Models Architecture and Positive Sample Machine Learning Strategies

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