Showing results (21-30 of 23,185) with videos related to
Sort By:
Pageof 2,319
Sichuan Da Xue Xue Bao. Yi Xue Ban = Journal of Sichuan University. Medical Science Edition|June 15, 2017
[Precision Medicine in Obesity Research and Practice]She-Yu Li, Shuang-Qing LiPolymers|July 31, 2020
Enhanced Biodegradation/Photodegradation of Organophosphorus Fire Retardant Using an Integrated Method of Modified Pharmacophore Model with Molecular Dynamics and Polarizable Continuum ModelJiawen Yang, Qing Li, Yu LiBiophysics Reports|July 19, 2024
Developing ChatGPT for biology and medicine: a complete review of biomedical question answeringQing Li, Lei Li, Yu LiEnvironment International|May 24, 2022
Insights into toxicity of polychlorinated naphthalenes to multiple human endocrine receptors: Mechanism and health risk analysisXixi Li, Wenwen Gu, Baiyu Zhang, et al.Asian Pacific Journal of Cancer Prevention : APJCP|January 9, 2016
Potential Roles of Protease Inhibitors in Cancer ProgressionPeng Yang, Zhuo-Yu Li, Han-Qing LiEnvironmental Science and Pollution Research International|June 22, 2023
Molecular design of environment-friendly chlorophenol (CP) derivatives based on 3D-QSAR assisted with a comprehensive evaluation method combining bioaccumulation and degradationShuhai Sun, Zeyang Liu, Qing Li, et al.Environmental Science and Pollution Research International|April 18, 2020
Efficacy coefficient method assisted quadruple-activities 3D-QSAR pharmacophore model for application in environmentally friendly PAE molecular modificationMeijin Du, Youli Qiu, Qing Li, et al.Journal of Molecular Histology|January 5, 2021
Circular RNA RBM33 contributes to cervical cancer progression via modulation of the miR-758-3p/PUM2 axisYi Ding, Xia Yuan, Wenwen GuEcotoxicology and Environmental Safety|January 20, 2020
Highly biodegradable fluoroquinolone derivatives designed using the 3D-QSAR model and biodegradation pathways analysisYilin Hou, Yuanyuan Zhao, Qing Li, et al.The Biochemical Journal|November 20, 2020
Modified organophosphorus fire retardant with low toxicity/high flame retardancy using the pharmacophore model associated with Mamdani fuzzy inference approachJiawen Yang, Yilin Hou, Qing Li, et al.Pageof 2,319