日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Analysis of Structures of SARS-CoV-2 Papain-like Protease Bound with Ligands Unveils Structural Features for Inhibiting the Enzyme

对SARS-CoV-2木瓜蛋白酶样蛋白酶与配体结合的结构分析揭示了抑制该酶的结构特征

Varghese, Ann; Liu, Jie; Liu, Bailang; Guo, Wenjing; Dong, Fan; Patterson, Tucker A; Hong, Huixiao

Integrating Molecular Dynamics, Molecular Docking, and Machine Learning for Predicting SARS-CoV-2 Papain-like Protease Binders

整合分子动力学、分子对接和机器学习技术预测SARS-CoV-2木瓜蛋白酶样蛋白酶结合物

Varghese, Ann; Liu, Jie; Patterson, Tucker A; Hong, Huixiao

Developing predictive models for µ opioid receptor binding using machine learning and deep learning techniques

利用机器学习和深度学习技术开发μ阿片受体结合的预测模型

Liu, Jie; Li, Jerry; Li, Zoe; Dong, Fan; Guo, Wenjing; Ge, Weigong; Patterson, Tucker A; Hong, Huixiao

Pharmacovigilance in the digital age: gaining insight from social media data

数字时代的药物警戒:从社交媒体数据中获取洞见

Dong, Fan; Guo, Wenjing; Liu, Jie; Patterson, Tucker A; Hong, Huixiao

2024 international conference on neuroprotective agents conference proceedings

2024年国际神经保护剂会议论文集

Slikker, William Jr; Patterson, Tucker A; Todorovic, Slobodan M; Andrews, Russell J

A refined set of RxNorm drug names for enhancing unstructured data analysis in drug safety surveillance

一套经过优化的 RxNorm 药物名称集,用于增强药物安全监测中的非结构化数据分析

Guo, Wenjing; Dong, Fan; Liu, Jie; Aslam, Aasma; Patterson, Tucker A; Hong, Huixiao

Assessing potential desflurane-induced neurotoxicity using nonhuman primate neural stem cell models

利用非人灵长类动物神经干细胞模型评估地氟醚潜在的神经毒性

Wang, Cheng; Latham, Leah E; Liu, Shuliang; Talpos, John; Patterson, Tucker A; Hanig, Joseph P; Liu, Fang

Fingerprinting Interactions between Proteins and Ligands for Facilitating Machine Learning in Drug Discovery

利用蛋白质与配体相互作用的指纹图谱促进药物发现中的机器学习

Li, Zoe; Huang, Ruili; Xia, Menghang; Patterson, Tucker A; Hong, Huixiao

Decoding the κ Opioid Receptor (KOR): Advancements in Structural Understanding and Implications for Opioid Analgesic Development.

解码α阿片受体(KOR):结构理解的进展及其对阿片类镇痛药开发的影响

Li Zoe, Huang Ruili, Xia Menghang, Chang Nancy, Guo Wenjing, Liu Jie, Dong Fan, Liu Bailang, Varghese Ann, Aslam Aasma, Patterson Tucker A, Hong Huixiao

BERT-based language model for accurate drug adverse event extraction from social media: implementation, evaluation, and contributions to pharmacovigilance practices

基于BERT的语言模型用于从社交媒体中准确提取药物不良事件:实现、评估及其对药物警戒实践的贡献

Dong, Fan; Guo, Wenjing; Liu, Jie; Patterson, Tucker A; Hong, Huixiao