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Qianwen Wan

Showing results (1-10 of 4) with videos related to

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Molecular Diversity|July 6, 2024
Construction of IRAK4 inhibitor activity prediction model based on machine learningYihuan Zhao, Qianwen Wan, Xiaoyu He
BMC Chemistry|October 18, 2024
Combined machine learning models, docking analysis, ADMET studies and molecular dynamics simulations for the design of novel FAK inhibitors against glioblastomaYihuan Zhao, Xiaoyu He, Qianwen Wan
Journal of Computer-Aided Molecular Design|January 7, 2026
Designing novel FAK inhibitors targeting gastric cancer: a combined approach using machine learning, docking analysis, molecular dynamics simulations, and experimental validationXiaoyu He, Qianwen Wan, Yaofeng Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 4, 2018
A Comprehensive Database for Benchmarking Imaging SystemsKaren Panetta, Qianwen Wan, Sos Agaian, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Molecular Diversity|July 6, 2024
Construction of IRAK4 inhibitor activity prediction model based on machine learningYihuan Zhao, Qianwen Wan, Xiaoyu He
BMC Chemistry|October 18, 2024
Combined machine learning models, docking analysis, ADMET studies and molecular dynamics simulations for the design of novel FAK inhibitors against glioblastomaYihuan Zhao, Xiaoyu He, Qianwen Wan
Journal of Computer-Aided Molecular Design|January 7, 2026
Designing novel FAK inhibitors targeting gastric cancer: a combined approach using machine learning, docking analysis, molecular dynamics simulations, and experimental validationXiaoyu He, Qianwen Wan, Yaofeng Zhou, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|December 4, 2018
A Comprehensive Database for Benchmarking Imaging SystemsKaren Panetta, Qianwen Wan, Sos Agaian, et al.
Pageof 1