Potent binding of 2019 novel coronavirus spike protein by a SARS coronavirus-specific human monoclonal antibody
Xiaolong Tian, Cheng Li, Ailing Huang, Shuai Xia, Sicong Lu, Zhengli Shi, Lu Lu, Shibo Jiang, Zhenlin Yang, Yanling Wu, Tianlei Ying
bioRxiv 2020.01.28.923011; doi: https://doi.org/10.1101/2020.01.28.923011
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Potential inhibitors for 2019-nCoV coronavirus M protease from clinically approved medicines
Xin Liu, Xiu-Jie Wang
bioRxiv 2020.01.29.924100; doi: https://doi.org/10.1101/2020.01.29.924100
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Transmission dynamics of 2019 novel coronavirus (2019-nCoV)
Tao Liu, Jianxiong Hu, Min Kang, Lifeng Lin, Haojie Zhong, Jianpeng Xiao, Guanhao He, Tie Song, QiongHuang, Zuhua Rong, Aiping Deng, Weilin Zeng, Xiaohua Tan, Siqing Zeng, Zhihua Zhu, Jiansen Li, Donghua Wan, Jing Lu, Huihong Deng, Jianfeng He, Wenjun Ma
bioRxiv 2020.01.25.919787; doi: https://doi.org/10.1101/2020.01.25.919787
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Machine intelligence design of 2019-nCoV drugs
Duc Duy Nguyen, Kaifu Gao, Rui Wang, Guowei Wei
bioRxiv 2020.01.30.927889; doi: https://doi.org/10.1101/2020.01.30.927889
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Machine learning-based analysis of genomes suggests associations between Wuhan 2019-nCoV and bat Betacoronaviruses
Gurjit S Randhawa, Maximillian P.M. Soltysiak, Hadi El Roz, Camila P.E. de Souza, Kathleen A. Hill, Lila Kari
bioRxiv 2020.02.03.932350; doi: https://doi.org/10.1101/2020.02.03.932350
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Full-genome evolutionary analysis of the novel corona virus (2019-nCoV) rejects the hypothesis of emergence as a result of a recent recombination event
D. Paraskevis, E.G. Kostaki, G. Magiorkinis, G. Panayiotakopoulos, S. Tsiodras
bioRxiv 2020.01.26.920249; doi: https://doi.org/10.1101/2020.01.26.920249
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The 2019-new coronavirus epidemic: evidence for virus evolution
Domenico Benvenuto, Marta Giovannetti, Alessandra Ciccozzi, Silvia Spoto, Silvia Angeletti, MassimoCiccozzi
bioRxiv 2020.01.24.915157; doi: https://doi.org/10.1101/2020.01.24.915157
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Insights into Cross-species Evolution of Novel Human Coronavirus 2019-nCoV and Defining Immune Determinants for Vaccine Development
Arunachalam Ramaiah, Vaithilingaraja Arumugaswami
bioRxiv 2020.01.29.925867; doi: https://doi.org/10.1101/2020.01.29.925867
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Genomic and protein structure modelling analysis depicts the origin and infectivity of 2019-nCoV, a new coronavirus which caused a pneumonia outbreak in Wuhan, China
Ning Dong, Xuemei Yang, Lianwei Ye, Kaichao Chen, Edward Wai-Chi Chan, Mengsu Yang, Sheng Chen
bioRxiv 2020.01.20.913368; doi: https://doi.org/10.1101/2020.01.20.913368
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Preliminary identification of potential vaccine targets for 2019-nCoV based on SARS-CoV immunological studies
Syed Faraz Ahmed, Ahmed A. Quadeer, Matthew R. McKay
bioRxiv 2020.02.03.933226; doi: https://doi.org/10.1101/2020.02.03.933226
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Phylogenomic analysis of the 2019-nCoV coronavirus
Carmine Ceraolo, Federico M Giorgi
bioRxiv 2020.02.02.931162; doi: https://doi.org/10.1101/2020.02.02.931162
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Pattern of early human-to-human transmission of Wuhan 2019-nCoV
Julien Riou, Christian L. Althaus
bioRxiv 2020.01.23.917351; doi: https://doi.org/10.1101/2020.01.23.917351
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Fast assessment of human receptor-binding capability of 2019 novel coronavirus (2019-nCoV)
Qiang Huang, Andreas Herrmann
bioRxiv 2020.02.01.930537; doi: https://doi.org/10.1101/2020.02.01.930537
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The novel coronavirus 2019 (2019-nCoV) uses the SARS-coronavirus receptor ACE2 and the cellular protease TMPRSS2 for entry into target cells
Markus Hoffmann, Hannah Kleine-Weber, Nadine Krüger, Marcel Müller, Christian Drosten, StefanPöhlmann
bioRxiv 2020.01.31.929042; doi: https://doi.org/10.1101/2020.01.31.929042
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Potent neutralization of 2019 novel coronavirus by recombinant ACE2-Ig
Changhai Lei, Wenyan Fu, Kewen Qian, Tian Li, Sheng Zhang, Min Ding, Shi Hu
bioRxiv 2020.02.01.929976; doi: https://doi.org/10.1101/2020.02.01.929976
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Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
Shi Zhao, Qianyin Lin, Jinjun Ran, Salihu S Musa, Guangpu Yang, Weiming Wang, Yijun Lou, DaozhouGao, Lin Yang, Daihai He, Maggie H Wang
bioRxiv 2020.01.23.916395; doi: https://doi.org/10.1101/2020.01.23.916395
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A mathematical model for simulating the transmission of Wuhan novel Coronavirus
Tianmu Chen, Jia Rui, Qiupeng Wang, Zeyu Zhao, Jing-An Cui, Ling Yin
bioRxiv 2020.01.19.911669; doi: https://doi.org/10.1101/2020.01.19.911669
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Host and infectivity prediction of Wuhan 2019 novel coronavirus using deep learning algorithm
Qian Guo, Mo Li, Chunhui Wang, Zhengcheng Fang, Peihong Wang, Jie Tan, Shufang Wu, YonghongXiao, Huaiqiu Zhu
bioRxiv 2020.01.21.914044; doi: https://doi.org/10.1101/2020.01.21.914044
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Predicting commercially available antiviral drugs that may act on the novel coronavirus (2019-nCoV), Wuhan, China through a drug-target interaction deep learning model
Bo Ram Beck, Bonggun Shin, Yoonjung Choi, Sungsoo Park, Keunsoo Kang
bioRxiv 2020.01.31.929547; doi: https://doi.org/10.1101/2020.01.31.929547
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Specific ACE2 Expression in Cholangiocytes May Cause Liver Damage After 2019-nCoV Infection
Xiaoqiang Chai, Longfei Hu, Yan Zhang, Weiyu Han, Zhou Lu, Aiwu Ke, Jian Zhou, Guoming Shi, NanFang, Jia Fan, Jiabin Cai, Jue Fan, Fei Lan
bioRxiv 2020.02.03.931766; doi: https://doi.org/10.1101/2020.02.03.931766
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Therapeutic Drugs Targeting 2019-nCoV Main Protease by High-Throughput Screening
Yan Li, Jinyong Zhang, Ning Wang, Haibo Li, Yun Shi, Gang Guo, Kaiyun Liu, Hao Zeng, Quanming Zou
bioRxiv 2020.01.28.922922; doi: https://doi.org/10.1101/2020.01.28.922922
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2019-20 Wuhan coronavirus outbreak: Intense surveillance is vital for preventing sustained transmission in new locations
R.N. Thompson
bioRxiv 2020.01.24.919159; doi: https://doi.org/10.1101/2020.01.24.919159
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Genome Detective Coronavirus Typing Tool for rapid identification and characterization of novel coronavirus genomes
Sara Cleemput, Wim Dumon, Vagner Fonseca, Wasim Abdool Karim, Marta Giovanetti, Luiz CarlosAlcantara, Koen Deforche, Tulio de Oliveira
bioRxiv 2020.01.31.928796; doi: https://doi.org/10.1101/2020.01.31.928796
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MRCA time and epidemic dynamics of the 2019 novel coronavirus
Chi Zhang, Mei Wang
bioRxiv 2020.01.25.919688; doi: https://doi.org/10.1101/2020.01.25.919688
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Highly Distinguished Amino Acid Sequences of 2019-nCoV (Wuhan Coronavirus)
Jacob Beal, Thomas Mitchell, Daniel Wyschogrod, Jeff Manthey, Adam Clore
bioRxiv 2020.01.31.929497; doi: https://doi.org/10.1101/2020.01.31.929497
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Beware of asymptomatic transmission: Study on 2019-nCoV prevention and control measures based on extended SEIR model
Peng Shao, Yingji Shan
bioRxiv 2020.01.28.923169; doi: https://doi.org/10.1101/2020.01.28.923169
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Nucleotide Analogues as Inhibitors of Viral Polymerases
Jingyue Ju, Shiv Kumar, Xiaoxu Li, Steffen Jockusch, James J. Russo
bioRxiv 2020.01.30.927574; doi: https://doi.org/10.1101/2020.01.30.927574
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Breaking down of healthcare system: Mathematical modelling for controlling the novel coronavirus (2019-nCoV) outbreak in Wuhan, China
Wai-kit Ming, Jian Huang, Casper J.P. Zhang
bioRxiv 2020.01.27.922443; doi: https://doi.org/10.1101/2020.01.27.922443
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Evolution and variation of 2019-novel coronavirus
Chenglong Xiong, Lufang Jiang, Yue Chen, Qingwu Jiang
bioRxiv 2020.01.30.926477; doi: https://doi.org/10.1101/2020.01.30.926477
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Functional assessment of cell entry and receptor usage for lineage B β-coronaviruses, including 2019-nCoV
Michael Letko, Vincent Munster
bioRxiv 2020.01.22.915660; doi: https://doi.org/10.1101/2020.01.22.915660
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The digestive system is a potential route of 2019-nCov infection: a bioinformatics analysis based on single-cell transcriptomes
Hao Zhang, Zijian Kang, Haiyi Gong, Da Xu, Jing Wang, Zifu Li, Xingang Cui, Jianru Xiao, Tong Meng, Wang Zhou, Jianmin Liu, Huji Xu
bioRxiv 2020.01.30.927806; doi: https://doi.org/10.1101/2020.01.30.927806
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Modelling the epidemic trend of the 2019 novel coronavirus outbreak in China
Mingwang Shen, Zhihang Peng, Yanni Xiao, Lei Zhang
bioRxiv 2020.01.23.916726; doi: https://doi.org/10.1101/2020.01.23.916726
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Interpretable detection of novel human viruses from genome sequencing data
Jakub M. Bartoszewicz, Anja Seidel, Bernhard Y. Renard
bioRxiv 2020.01.29.925354; doi: https://doi.org/10.1101/2020.01.29.925354
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Molecular Modeling Evaluation of the Binding Abilities of Ritonavir and Lopinavir to Wuhan Pneumonia Coronavirus Proteases
Shen Lin, Runnan Shen, Xushun Guo
bioRxiv 2020.01.31.929695; doi: https://doi.org/10.1101/2020.01.31.929695
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Nelfinavir was predicted to be a potential inhibitor of 2019-nCov main protease by an integrative approach combining homology modelling, molecular docking and binding free energy calculation
Zhijian Xu, Cheng Peng, Yulong Shi, Zhengdan Zhu, Kaijie Mu, Xiaoyu Wang, Weiliang Zhu
bioRxiv 2020.01.27.921627; doi: https://doi.org/10.1101/2020.01.27.921627
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Structure-Guided Mutagenesis Alters Deubiquitinating Activity 2 and Attenuates Pathogenesis of a Murine Coronavirus
Xufang Deng, Yafang Chen, Anna M Mielech, Matthew Hackbart, Kristina R Kesely, Robert C Mettelman, Amornrat O’Brien, Mackenzie E. Chapman, Andrew D Mesecar, Susan C Baker
bioRxiv 782409; doi: https://doi.org/10.1101/782409
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Engineered unnatural ubiquitin for optimal detection of deubiquitinating enzymes
Wioletta Rut, Mikołaj Żmudziński, Scott J. Snipas, Miklos Bekes, Tony T. Huang, Marcin Drag
bioRxiv 2020.01.30.926881; doi: https://doi.org/10.1101/2020.01.30.926881
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Discovery of a novel coronavirus associated with the recent pneumonia outbreak in humans and its potential bat origin
Peng Zhou, Xing-Lou Yang, Xian-Guang Wang, Ben Hu, Lei Zhang, Wei Zhang, Hao-Rui Si, Yan Zhu, BeiLi, Chao-Lin Huang, Hui-Dong Chen, Jing Chen, Yun Luo, Hua Guo, Ren-Di Jiang, Mei-Qin Liu, YingChen, Xu-Rui Shen, Xi Wang, Xiao-Shuang Zheng, Kai Zhao, Quan-Jiao Chen, Fei Deng, Lin-Lin Liu, BingYan, Fa-Xian Zhan, Yan-Yi Wang, Gengfu Xiao, Zheng-Li Shi
bioRxiv 2020.01.22.914952; doi: https://doi.org/10.1101/2020.01.22.914952
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Complete genome characterisation of a novel coronavirus associated with severe human respiratory disease in Wuhan, China
Fan Wu, Su Zhao, Bin Yu, Yan-Mei Chen, Wen Wang, Yi Hu, Zhi-Gang Song, Zhao-Wu Tao, Jun-HuaTian, Yuan-Yuan Pei, Ming-Li Yuan, Yu-Ling Zhang, Fa-Hui Dai, Yi Liu, Qi-Min Wang, Jiao-Jiao Zheng, LinXu, Edward C Holmes, Yong-Zhen Zhang
bioRxiv 2020.01.24.919183; doi: https://doi.org/10.1101/2020.01.24.919183
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