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predicting < prediction < predictions  Facettes :

List of bibliographic references indexed by prediction

Number of relevant bibliographic references: 37.
[0-20] [0 - 20][0 - 37][20-36][20-40]
Ident.Authors (with country if any)Title
000006 (2020-03-24) Denis Efimov [France] ; Rosane Ushirobira [France]On an interval prediction of COVID-19 development based on a SEIR epidemic model
000372 (2020) Tao Zhou [République populaire de Chine] ; Quanhui Liu [République populaire de Chine] ; Zimo Yang [République populaire de Chine] ; Jingyi Liao [République populaire de Chine] ; Kexin Yang [République populaire de Chine] ; Wei Bai [République populaire de Chine] ; Xin Lu [République populaire de Chine] ; Wei Zhang [République populaire de Chine]Preliminary prediction of the basic reproduction number of the Wuhan novel coronavirus 2019-nCoV.
000379 (2020) Samit Ghosal [Inde] ; Sumit Sengupta [Inde] ; Milan Majumder [Inde] ; Binayak Sinha [Inde]Prediction of the number of deaths in India due to SARS-CoV-2 at 5–6 weeks
000380 (2020) Yu Wai Chen [Hong Kong] ; Chin-Pang Bennu Yiu [Hong Kong] ; Kwok-Yin Wong [Hong Kong]Prediction of the SARS-CoV-2 (2019-nCoV) 3C-like protease (3CL pro) structure: virtual screening reveals velpatasvir, ledipasvir, and other drug repurposing candidates
000476 (2020) Zifeng Yang [République populaire de Chine] ; Zhiqi Zeng [République populaire de Chine] ; Ke Wang [République populaire de Chine] ; Sook-San Wong [République populaire de Chine] ; Wenhua Liang [République populaire de Chine] ; Mark Zanin [République populaire de Chine] ; Peng Liu [République populaire de Chine] ; Xudong Cao [République populaire de Chine] ; Zhongqiang Gao [République populaire de Chine] ; Zhitong Mai [République populaire de Chine] ; Jingyi Liang [République populaire de Chine] ; Xiaoqing Liu [République populaire de Chine] ; Shiyue Li [République populaire de Chine] ; Yimin Li [République populaire de Chine] ; Feng Ye [République populaire de Chine] ; Weijie Guan [République populaire de Chine] ; Yifan Yang [République populaire de Chine] ; Fei Li [République populaire de Chine] ; Shengmei Luo [République populaire de Chine] ; Yuqi Xie [République populaire de Chine] ; Bin Liu [République populaire de Chine] ; Zhoulang Wang [République populaire de Chine] ; Shaobo Zhang [République populaire de Chine] ; Yaonan Wang [République populaire de Chine] ; Nanshan Zhong [République populaire de Chine] ; Jianxing He [République populaire de Chine]Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
000682 (2020) Naveen Vankadari [Australie] ; Jacqueline A. Wilce [Australie]Emerging WuHan (COVID-19) coronavirus: glycan shield and structure prediction of spike glycoprotein and its interaction with human CD26.
000A72 (2019) Henri Boullier [France] ; David Demortain [France] ; Maurice Zeeman [États-Unis]Inventing Prediction for Regulation: The Development of (Quantitative) Structure-Activity Relationships for the Assessment of Chemicals at the US Environmental Protection Agency.
000E42 (2017) Nh Ogden ; P. Abdelmalik ; Jrc Pulliam [Afrique du Sud]Emerging infectious diseases: prediction and detection
001A07 (2013) Xue Wu Zhang [République populaire de Chine]A combination of epitope prediction and molecular docking allows for good identification of MHC class I restricted T-cell epitopes.
001C27 (2012) Gerard Kian-Meng Goh [États-Unis, Singapour] ; A. Keith Dunker [États-Unis] ; Vladimir N. Uversky [États-Unis, Russie]Understanding Viral Transmission Behavior via Protein Intrinsic Disorder Prediction: Coronaviruses
001C71 (2012) Jun Huang [République populaire de Chine] ; Yingnan Cao [République populaire de Chine] ; Xianzhang Bu [République populaire de Chine] ; Changyou Wu [République populaire de Chine]Residue analysis of a CTL epitope of SARS-CoV spike protein by IFN-gamma production and bioinformatics prediction
001D68 (2012) Nishant Thakur [Inde] ; Abid Qureshi ; Manoj KumarAVPpred: collection and prediction of highly effective antiviral peptides.
002100 (2011) Sudhir Singh Soam [Inde] ; Bharat Bhasker ; Bhartendu Nath MishraImproved prediction of MHC class I binders/non-binders peptides through artificial neural network using variable learning rate: SARS corona virus, a case study.
002193 (2011) Jiaojiao Wang [République populaire de Chine] ; Zhidong Cao [République populaire de Chine] ; Quanyi Wang [République populaire de Chine] ; Xiaoli Wang [République populaire de Chine] ; Hongbin Song [République populaire de Chine]Using Spatial Prediction Model to Analyze Driving Forces of the Beijing 2008 HFMD Epidemic
002739 (2010) Shaomin Yan [République populaire de Chine] ; Guang Wu [République populaire de Chine]Prediction of Mutation Positions in H5N1 Neuraminidases From Influenza A Virus by Means of Neural Network
002A74 (2009) Neil M. FergusonMathematical prediction in infection
002E70 (2009) Luís M. A. Bettencourt [États-Unis]An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola
003531 (2007) Mayuku Takeda-Shitaka [Japon] ; Hideaki Umeyama[Three-dimensional structure prediction of the viral protein in the development of anti SARS drugs].
003932 (2007) G. Wu [République populaire de Chine] ; S. Yan [République populaire de Chine]Prediction of mutations engineered by randomness in H5N1 hemagglutinins of influenza A virus
003933 (2007) Guang Wu [République populaire de Chine] ; Shaomin Yan [République populaire de Chine]Prediction of Mutations Initiated by Internal Power in H3N2 Hemagglutinins of Influenza A Virus from North America
003975 (2007) Dariusz Plewczynski [Pologne] ; Marcin Hoffmann [Pologne] ; Marcin Von Grotthuss [Pologne] ; Krzysztof Ginalski [Pologne] ; Leszek Rychewski [Pologne]In Silico Prediction of SARS Protease Inhibitors by Virtual High Throughput Screening

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