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Chemical Research in Toxicology
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April 18, 2017
In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods
Hanwen Du, Yingchun Cai, Hongbin Yang, et al.
Journal of Molecular Modeling
|
June 27, 2012
Identification of old drugs as potential inhibitors of HIV-1 integrase - human LEDGF/p75 interaction via molecular docking
Guoping Hu, Xi Li, Xianqiang Sun, et al.
Journal of Chemical Information and Modeling
|
March 27, 2013
Prediction of polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space
Feixiong Cheng, Weihua Li, Zengrui Wu, et al.
The Science of the Total Environment
|
December 17, 2023
Identification of sulfamethazine degraders in swine farm-impacted river and farmland: A comparative study of aerobic and anaerobic environments
Yuqiu Ye, Chao Peng, Dong Zhu, et al.
Journal of Applied Toxicology : JAT
|
April 16, 2022
In silico prediction of potential drug-induced nephrotoxicity with machine learning methods
Yuning Gong, Dan Teng, Yimeng Wang, et al.
Molecular Vision
|
August 2, 2017
The comparative safety of genipin versus UVA-riboflavin crosslinking of rabbit corneas
Wenjing Song, Yun Tang, Jing Qiao, et al.
Journal of Physiological Investigation
|
July 5, 2025
Itaconate Attenuates Homocysteine-induced Nod-like Receptor Family Protein 3 Inflammasome-mediated Pyroptosis in Hippocampal Neurons: Involvement of Inhibiting Succinate Dehydrogenase Complex Subunit A Level
Min Huang, Pan-Pan Zhang, Yi-Yun Tang, et al.
Renal Failure
|
September 23, 2025
Ngf/TrKA signal is associated with macrophage activation of acute kidney injury in mice
Qiao Tang, Kaixiang Liu, Yun Tang, et al.
Chemical Research in Toxicology
|
February 21, 2024
<i>In Silico</i> Prediction of Chemical Acute Dermal Toxicity Using Explainable Machine Learning Methods
Shang Lou, Zhuohang Yu, Zejun Huang, et al.
Neurospine
|
August 10, 2023
Electroacupuncture-Modulated MiR-106b-5p Expression Enhances Autophagy by Targeting Beclin-1 to Promote Motor Function Recovery After Spinal Cord Injury in Rats
Shuhui Guo, Jianmin Chen, Ye Yang, et al.
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of 93
Search research articles
Search
Showing results (491-500 of 929) with videos related to
Sort By:
Page
of 93
Chemical Research in Toxicology
|
April 18, 2017
In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods
Hanwen Du, Yingchun Cai, Hongbin Yang, et al.
Journal of Molecular Modeling
|
June 27, 2012
Identification of old drugs as potential inhibitors of HIV-1 integrase - human LEDGF/p75 interaction via molecular docking
Guoping Hu, Xi Li, Xianqiang Sun, et al.
Journal of Chemical Information and Modeling
|
March 27, 2013
Prediction of polypharmacological profiles of drugs by the integration of chemical, side effect, and therapeutic space
Feixiong Cheng, Weihua Li, Zengrui Wu, et al.
The Science of the Total Environment
|
December 17, 2023
Identification of sulfamethazine degraders in swine farm-impacted river and farmland: A comparative study of aerobic and anaerobic environments
Yuqiu Ye, Chao Peng, Dong Zhu, et al.
Journal of Applied Toxicology : JAT
|
April 16, 2022
In silico prediction of potential drug-induced nephrotoxicity with machine learning methods
Yuning Gong, Dan Teng, Yimeng Wang, et al.
Molecular Vision
|
August 2, 2017
The comparative safety of genipin versus UVA-riboflavin crosslinking of rabbit corneas
Wenjing Song, Yun Tang, Jing Qiao, et al.
Journal of Physiological Investigation
|
July 5, 2025
Itaconate Attenuates Homocysteine-induced Nod-like Receptor Family Protein 3 Inflammasome-mediated Pyroptosis in Hippocampal Neurons: Involvement of Inhibiting Succinate Dehydrogenase Complex Subunit A Level
Min Huang, Pan-Pan Zhang, Yi-Yun Tang, et al.
Renal Failure
|
September 23, 2025
Ngf/TrKA signal is associated with macrophage activation of acute kidney injury in mice
Qiao Tang, Kaixiang Liu, Yun Tang, et al.
Chemical Research in Toxicology
|
February 21, 2024
<i>In Silico</i> Prediction of Chemical Acute Dermal Toxicity Using Explainable Machine Learning Methods
Shang Lou, Zhuohang Yu, Zejun Huang, et al.
Neurospine
|
August 10, 2023
Electroacupuncture-Modulated MiR-106b-5p Expression Enhances Autophagy by Targeting Beclin-1 to Promote Motor Function Recovery After Spinal Cord Injury in Rats
Shuhui Guo, Jianmin Chen, Ye Yang, et al.
Page
of 93