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10.1186/s40249-020-00649-8 http://scihub22266oqcxt.onion/10.1186/s40249-020-00649-8 32209118!7093988!32209118     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Infect+Dis+Poverty 2020 ; 9 (1): 33 Nephropedia Template TP {{tp|p=32209118|t=2020. Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus |pdf=|usr=}}{{32209118}} gab.com Text Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus JO: Infect Dis Poverty http://www.kidney.de/pget.php?&tw=1&pmid=32209118 #FOAvip BACKGROUND: Coronavirus can cross the species barrier and infect humans with a severe respiratory syndrome. SARS-CoV-2 with potential origin of bat is still circulating in China. In this study, a prediction model is proposed to evaluate the infection risk of non-human-origin coronavirus for early warning. METHODS: The spike protein sequences of 2666 coronaviruses were collected from 2019 Novel Coronavirus Resource (2019nCoVR) Database of China National Genomics Data Center on Jan 29, 2020. A total of 507 human-origin viruses were regarded as positive samples, whereas 2159 non-human-origin viruses were regarded as negative. To capture the key information of the spike protein, three feature encoding algorithms (amino acid composition, AAC; parallel correlation-based pseudo-amino-acid composition, PC-PseAAC and G-gap dipeptide composition, GGAP) were used to train 41 random forest models. The optimal feature with the best performance was identified by the multidimensional scaling method, which was used to explore the pattern of human coronavirus. RESULTS: The 10-fold cross-validation results showed that well performance was achieved with the use of the GGAP (g = 3) feature. The predictive model achieved the maximum ACC of 98.18% coupled with the Matthews correlation coefficient (MCC) of 0.9638. Seven clusters for human coronaviruses (229E, NL63, OC43, HKU1, MERS-CoV, SARS-CoV, and SARS-CoV-2) were found. The cluster for SARS-CoV-2 was very close to that for SARS-CoV, which suggests that both of viruses have the same human receptor (angiotensin converting enzyme II). The big gap in the distance curve suggests that the origin of SARS-CoV-2 is not clear and further surveillance in the field should be made continuously. The smooth distance curve for SARS-CoV suggests that its close relatives still exist in nature and public health is challenged as usual. CONCLUSIONS: The optimal feature (GGAP, g = 3) performed well in terms of predicting infection risk and could be used to explore the evolutionary dynamic in a simple, fast and large-scale manner. The study may be beneficial for the surveillance of the genome mutation of coronavirus in the field. Twit Text FOAVip Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus ????Infect Dis Poverty http://www.kidney.de/pget.php?&tw=1&pmid=32209118 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32209118 #FOAvip English Wikipedia <ref>{{Cite pmid|32209118}}</ref> Using the spike protein feature to predict infection risk and monitor the evolutionary dynamic of coronavirus #MMPMID32209118 Qiang XL; Xu P; Fang G; Liu WB; Kou Z Infect Dis Poverty 2020[Mar]; 9 (1): 33 PMID32209118show ga BACKGROUND: Coronavirus can cross the species barrier and infect humans with a severe respiratory syndrome. SARS-CoV-2 with potential origin of bat is still circulating in China. In this study, a prediction model is proposed to evaluate the infection risk of non-human-origin coronavirus for early warning. METHODS: The spike protein sequences of 2666 coronaviruses were collected from 2019 Novel Coronavirus Resource (2019nCoVR) Database of China National Genomics Data Center on Jan 29, 2020. A total of 507 human-origin viruses were regarded as positive samples, whereas 2159 non-human-origin viruses were regarded as negative. To capture the key information of the spike protein, three feature encoding algorithms (amino acid composition, AAC; parallel correlation-based pseudo-amino-acid composition, PC-PseAAC and G-gap dipeptide composition, GGAP) were used to train 41 random forest models. The optimal feature with the best performance was identified by the multidimensional scaling method, which was used to explore the pattern of human coronavirus. RESULTS: The 10-fold cross-validation results showed that well performance was achieved with the use of the GGAP (g = 3) feature. The predictive model achieved the maximum ACC of 98.18% coupled with the Matthews correlation coefficient (MCC) of 0.9638. Seven clusters for human coronaviruses (229E, NL63, OC43, HKU1, MERS-CoV, SARS-CoV, and SARS-CoV-2) were found. The cluster for SARS-CoV-2 was very close to that for SARS-CoV, which suggests that both of viruses have the same human receptor (angiotensin converting enzyme II). The big gap in the distance curve suggests that the origin of SARS-CoV-2 is not clear and further surveillance in the field should be made continuously. The smooth distance curve for SARS-CoV suggests that its close relatives still exist in nature and public health is challenged as usual. CONCLUSIONS: The optimal feature (GGAP, g = 3) performed well in terms of predicting infection risk and could be used to explore the evolutionary dynamic in a simple, fast and large-scale manner. The study may be beneficial for the surveillance of the genome mutation of coronavirus in the field. |*Coronavirus Infections/genetics/transmission/virology[MESH] |*Pandemics/prevention & control[MESH] |*Pneumonia, Viral/genetics/transmission/virology[MESH] |Algorithms[MESH] |Amino Acids/genetics[MESH] |Angiotensin-Converting Enzyme 2[MESH] |Animals[MESH] |Betacoronavirus/genetics/*immunology[MESH] |COVID-19[MESH] |China[MESH] |Chlorocebus aethiops[MESH] |Coronavirus/genetics/*immunology/isolation & purification[MESH] |Disease Reservoirs/*virology[MESH] |Endopeptidases/genetics/metabolism[MESH] |Genome, Viral/genetics[MESH] |Genome/genetics[MESH] |Humans[MESH] |Peptidyl-Dipeptidase A/genetics/*metabolism[MESH] |Phylogeny[MESH] |Receptors, Virus/*genetics/metabolism[MESH] |Risk Assessment[MESH] |SARS-CoV-2[MESH]Using the spike protein feature to predict infection risk and monitor (epmc).pdf DeepDyve Pubget Overpricing