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Updated: Jun 11, 2025

Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling
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Label-Free Immunoprecipitation Mass Spectrometry Workflow for Large-scale Nuclear Interactome Profiling

Published on: November 17, 2019

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GGAS2SN:用于溶解性预测的Gated Graph和SmilesToSeq网络

Waqar Ahmad1, Kil To Chong1,2, Hilal Tayara3

  • 1Department of Electronics and Information Engineering, Jeonbuk National University, Jeonju 54896, South Korea.

Journal of chemical information and modeling
|October 10, 2024
PubMed
概括

这项研究引入了一种新的方法,用于使用封闭图形神经网络 (GGNNs) 和带有Smiles2Seq编码的图形注意力神经网络 (GATs) 预测水溶性. 该方法通过准确预测各种化学化合物的溶解度来增强药物发现和开发.

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