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8 results in Authors: Chenglong Li

Theoretical and Computational Chemistry

Working Paper

Improving the Accuracy of Protein-Ligand Binding Affinity Prediction by Deep Learning Models: Benchmark and Model

Mohammad Rezaei, Yanjun Li, Xiaolin Li, Chenglong Li

Version 1 posted 23 September 2019

1,142

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Materials Science

Working Paper

Attaching Strong Auxiliary Acceptor onto B-N-Containing Multiple Resonance Framework and Achieving Highly Efficient Electroluminescence with Ultrahigh Color Purity

Chenglong Li, Yue Wang, Yincai Xu, Zhiqaing Li, Jiaxuan Wang, Jianan Xue, Qingyang Wang, Xinliang Cai

Version 1 posted 22 February 2021

596

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Materials Science

Working Paper

Purely Organic Phosphor Sensitization Based Highly Efficient Electrofluorescence Material

Jiaxuan Wang, Baoyan Liang, Jinbei Wei, Yincai Xu, Zhiqiang Li, Tong Yang, Chenglong Li, Yue Wang

Version 1 posted 09 March 2021

488

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Materials Science

Working Paper

Achieving Highly Efficient Deep-blue OLEDs by Introducing Intramolecular Hydrogen Bonds to Tune the Properties of Multiple Resonance Emitters

xinliang cai, pan yue, chenglong li, yexuan pu, yue wang

Version 1 posted 08 January 2024

355

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Theoretical and Computational Chemistry

Working Paper

Elion: A Deep Learning Based Platform for Multi-Objective Drug Hit Optimization

Gustavo Seabra, Chenglong Li

Version 1 posted 25 October 2023

217

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Materials Science

Working Paper

Constructing Narrowband Thermally Activated Delayed Fluorescence Materials with Emission Maxima Beyond 560 nm Based on Frontier Molecular Orbital Engineering

Xinliang Cai, Yincai Xu, Qingyang Wang, Chenglong Li, Yue Wang

Version 1 posted 06 April 2021

758

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Theoretical and Computational Chemistry

Working Paper

Reducing hERG Toxicity Using hERG Classification Model and Fragment-growing Network

Yan Yang, Yanmin Zhang, Xingye Chen, Yi Hua, Guomeng Xing, Chenglong Deng, Li Liang, Tao Lu, Yadong Chen, Haichun Liu

Version 2 posted 15 March 2021

1,292

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Theoretical and Computational Chemistry

Working Paper

Design principle of heparanase inhibitors: a combined in vitro and in silico study

Yuzhao Zhang, Meijun Xiong, Zixin Chen, Gustavo Seabra, Jun Liu, Chenglong Li, Lina Cui

Version 1 posted 08 March 2023

283

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8 results in Chenglong Li in Authors: Chenglong Li

Improving the Accuracy of Protein-Ligand Binding Affinity Prediction by Deep Learning Models: Benchmark and Model

Attaching Strong Auxiliary Acceptor onto B-N-Containing Multiple Resonance Framework and Achieving Highly Efficient Electroluminescence with Ultrahigh Color Purity

Purely Organic Phosphor Sensitization Based Highly Efficient Electrofluorescence Material

Achieving Highly Efficient Deep-blue OLEDs by Introducing Intramolecular Hydrogen Bonds to Tune the Properties of Multiple Resonance Emitters

Elion: A Deep Learning Based Platform for Multi-Objective Drug Hit Optimization

Constructing Narrowband Thermally Activated Delayed Fluorescence Materials with Emission Maxima Beyond 560 nm Based on Frontier Molecular Orbital Engineering

Reducing hERG Toxicity Using hERG Classification Model and Fragment-growing Network

Design principle of heparanase inhibitors: a combined in vitro and in silico study

8 results in Authors: Chenglong Li