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Xinkang Li

Showing results (1-10 of 12) with videos related to

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Journal of Hazardous Materials|June 14, 2024
Advancing ecotoxicity assessment: Leveraging pre-trained model for bee toxicity and compound degradability predictionXinkang Li, Feng Zhang, Liangzhen Zheng, et al.
Molecules (Basel, Switzerland)|March 11, 2023
Prediction of ADMET Properties of Anti-Breast Cancer Compounds Using Three Machine Learning AlgorithmsXinkang Li, Lijun Tang, Zeying Li, et al.
Stress Biology|October 28, 2025
Seminal plasma exosomes improve the motility and mitochondrial function of goat spermatozoa during liquid storage by regulating oxidative phosphorylationTengfei Liu, Mengmei Zhang, Xinkang Li, et al.
Molecules (Basel, Switzerland)|December 11, 2022
New Constructed EEM Spectra Combined with N-PLS Analysis Approach as an Effective Way to Determine Multiple Target Compounds in Complex SamplesZeying Li, Na Feng, Xinkang Li, et al.
Journal of Hazardous Materials|November 13, 2025
SpectraNet: A unified deep learning framework for infrared spectroscopy-based prediction of plastic recyclability, type classification, and microplastic identificationXinkang Li, Lijun Tang, Ran Xu, et al.
Microorganisms|September 28, 2024
Potential Probiotic Properties and Complete Genome Analysis of <i>Limosilactobacillus reuteri</i> LRA7 from DogsYuanyuan Zhang, Mengdi Zhao, Yueyao Li, et al.
ACS Synthetic Biology|December 21, 2025
EvoZymePro-Cat: A Protein-Ligand-Aware Deep Learning Framework for Predicting Mutation Effects in Enzyme FunctionRan Xu, Xinkang Li, Jianan Sui, et al.
Journal of Computer-Aided Molecular Design|February 6, 2025
Elucidating allosteric signal disruption in PBP2a: impact of N146K/E150K mutations on ceftaroline resistance in methicillin-resistant Staphylococcus aureusFangfang Jiao, Ran Xu, Qing Luo, et al.
Frontiers in Public Health|June 26, 2023
The analysis and optimization of thermal sensation of train drivers under occupational thermal exposureZeyun Yang, Wenjun Zhou, Gang Xu, et al.
Frontiers in Medicine|November 3, 2025
A robust stacked neural network approach for early and accurate breast cancer diagnosisXinkang Li, Menglong Gao, Chengyang Zhang, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Journal of Hazardous Materials|June 14, 2024
Advancing ecotoxicity assessment: Leveraging pre-trained model for bee toxicity and compound degradability predictionXinkang Li, Feng Zhang, Liangzhen Zheng, et al.
Molecules (Basel, Switzerland)|March 11, 2023
Prediction of ADMET Properties of Anti-Breast Cancer Compounds Using Three Machine Learning AlgorithmsXinkang Li, Lijun Tang, Zeying Li, et al.
Stress Biology|October 28, 2025
Seminal plasma exosomes improve the motility and mitochondrial function of goat spermatozoa during liquid storage by regulating oxidative phosphorylationTengfei Liu, Mengmei Zhang, Xinkang Li, et al.
Molecules (Basel, Switzerland)|December 11, 2022
New Constructed EEM Spectra Combined with N-PLS Analysis Approach as an Effective Way to Determine Multiple Target Compounds in Complex SamplesZeying Li, Na Feng, Xinkang Li, et al.
Journal of Hazardous Materials|November 13, 2025
SpectraNet: A unified deep learning framework for infrared spectroscopy-based prediction of plastic recyclability, type classification, and microplastic identificationXinkang Li, Lijun Tang, Ran Xu, et al.
Microorganisms|September 28, 2024
Potential Probiotic Properties and Complete Genome Analysis of <i>Limosilactobacillus reuteri</i> LRA7 from DogsYuanyuan Zhang, Mengdi Zhao, Yueyao Li, et al.
ACS Synthetic Biology|December 21, 2025
EvoZymePro-Cat: A Protein-Ligand-Aware Deep Learning Framework for Predicting Mutation Effects in Enzyme FunctionRan Xu, Xinkang Li, Jianan Sui, et al.
Journal of Computer-Aided Molecular Design|February 6, 2025
Elucidating allosteric signal disruption in PBP2a: impact of N146K/E150K mutations on ceftaroline resistance in methicillin-resistant Staphylococcus aureusFangfang Jiao, Ran Xu, Qing Luo, et al.
Frontiers in Public Health|June 26, 2023
The analysis and optimization of thermal sensation of train drivers under occupational thermal exposureZeyun Yang, Wenjun Zhou, Gang Xu, et al.
Frontiers in Medicine|November 3, 2025
A robust stacked neural network approach for early and accurate breast cancer diagnosisXinkang Li, Menglong Gao, Chengyang Zhang, et al.
Pageof 2