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SAR and QSAR in Environmental Research Volume 30, 2019 - Issue 1
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Prediction of the binding affinity of aptamers against the influenza virus

X. YuHunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration, College of Chemistry and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, China;State Key Laboratory of Chemo/Biosensing and Chemometrics, Hunan University, Changsha, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-0952-3567
ORCID Icon,
Y. WangHunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration, College of Chemistry and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, China
,
H. YangHunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration, College of Chemistry and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, China
&
X. HuangHunan Provincial Key Laboratory of Environmental Catalysis & Waste Regeneration, College of Chemistry and Chemical Engineering, Hunan Institute of Engineering, Xiangtan, China
Pages 51-62 | Received 24 Oct 2018, Published online: 14 Jan 2019

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Y. Liu, X. Yu & J. Chen. (2020) Quantitative structure–property relationship of distribution coefficients of organic compounds. SAR and QSAR in Environmental Research 31:8, pages 585-596.
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Parvin Kumar & Ashwani Kumar. (2020) Nucleobase sequence based building up of reliable QSAR models with the index of ideality correlation using Monte Carlo method. Journal of Biomolecular Structure and Dynamics 38:11, pages 3296-3306.
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Q. Liu, J. Deng & M. Liu. (2020) Classification models for predicting the antimalarial activity against Plasmodium falciparum. SAR and QSAR in Environmental Research 31:4, pages 313-324.
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Xinliang Yu, Hanlu Wang, William E. Acree Jr.Jiyong Deng. (2023) QSPR models for solvation enthalpy based on quantum chemical descriptors. Journal of Molecular Liquids 389, pages 122884.
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Su Jin Lee, Junmin Cho, Byung-Hoon Lee, Donghwan Hwang & Jee-Woong Park. (2023) Design and Prediction of Aptamers Assisted by In Silico Methods. Biomedicines 11:2, pages 356.
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Zhiwei Liu, Zhaoyang Tong, Bing Liu, Yuting Wu, Bin Du, Jiang Wang, Jianjie Xu, Chuan Gao, Shuai Liu & Wei Ma. (2023) Ricin aptamer screening based on the QSAR model and construction of piezoresistive micro-cantilever aptasensor. Talanta 252, pages 123840.
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Akbar Hasanzadeh, Michael R. Hamblin, Jafar Kiani, Hamid Noori, Joseph M. Hardie, Mahdi Karimi & Hadi Shafiee. (2022) Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines?. Nano Today 47, pages 101665.
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Tengyi Zhu, Cuicui Tao, Haomiao Cheng & Haibing Cong. (2022) Versatile in silico modelling of microplastics adsorption capacity in aqueous environment based on molecular descriptor and machine learning. Science of The Total Environment 846, pages 157455.
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Yongna Yuan, Haoqiu Yan, Zeyang Cui, Zhenyu Liu, Wei Su & Ruisheng Zhang. (2022) Quantum Chemical Calculations with Machine Learning for Multipolar Electrostatics Prediction in RNA: An Application to Pentose. Journal of Chemical Information and Modeling 62:17, pages 4122-4133.
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Xinliang Yu. (2022) Prediction of enantioselectivity in thiol addition to imines catalyzed by chiral phosphoric acids. Journal of Physical Organic Chemistry 35:6.
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Mehran Akbarpour Ghazani, M. Soltani, Peyman Jalali & Reza Hassannejad. (2022) A novel numerical and artificial intelligence based approach to study anti-angiogenic drugs: Endostatin. Applied Mathematical Modelling 105, pages 258-283.
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Xinliang Yu. (2022) Support Vector Machine‐Based Prediction of Enantioselectivity in Fluorination of Allylic Alcohols. ChemistrySelect 7:14.
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Parvin Kumar & Ashwani Kumar. (2021) Correlation intensity index (CII) as a benchmark of predictive potential: Construction of quantitative structure activity relationship models for anti-influenza single-stranded DNA aptamers using Monte Carlo optimization. Journal of Molecular Structure 1246, pages 131205.
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Xinliang Yu & Hanlu Wang. (2021) Support vector machine classification model for color fastness to ironing of vat dyes. Textile Research Journal 91:15-16, pages 1889-1899.
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Xinliang Yu & Jun Liu. (2020) Prediction of reaction rate constants of hydroxyl radical with chemicals in water. Water Environment Research 93:6, pages 934-939.
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Zihao Chen, Long Hu, Bao-Ting Zhang, Aiping Lu, Yaofeng Wang, Yuanyuan Yu & Ge Zhang. (2021) Artificial Intelligence in Aptamer–Target Binding Prediction. International Journal of Molecular Sciences 22:7, pages 3605.
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Xinliang Yu. (2020) Meet Our Section Editor. Mini-Reviews in Organic Chemistry 17:8, pages 903-903.
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Xinliang Yu. (2020) Prediction of chemical toxicity to Tetrahymena pyriformis with four-descriptor models. Ecotoxicology and Environmental Safety 190, pages 110146.
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Shiyao Liao, Xinliang Yu, Jianfang Chen & Xianwei Huang. (2019) Prediction of the half-lives of polychlorinated biphenyls based on the IEF-PCM calculations. Journal of Theoretical and Computational Chemistry 18:07, pages 1950033.
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