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10.1002/pro.4097 http://scihub22266oqcxt.onion/10.1002/pro.4097 33934422!8242659!33934422     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Protein+Sci 2021 ; 30 (8): 1723-1729 Nephropedia Template TP {{tp|p=33934422|t=2021. Predictable fold switching by the SARS-CoV-2 protein ORF9b |pdf=|usr=}}{{33934422}} gab.com Text Predictable fold switching by the SARS-CoV-2 protein ORF9b JO: Protein Sci http://www.kidney.de/pget.php?&tw=1&pmid=33934422 #FOAvip Extant fold-switching proteins remodel their secondary structures and change their functions in response to environmental stimuli. These shapeshifting proteins regulate biological processes and are associated with a number of diseases, including tuberculosis, cancer, Alzheimer's, and autoimmune disorders. Thus, predictive methods are needed to identify more fold-switching proteins, especially since all naturally occurring instances have been discovered by chance. In response to this need, two high-throughput predictive methods have recently been developed. Here we test them on ORF9b, a newly discovered fold switcher and potential therapeutic target from the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Promisingly, both methods correctly indicate that ORF9b switches folds. We then tested the same two methods on ORF9b1, the ORF9b homolog from SARS-CoV-1. Again, both methods predict that ORF9b1 switches folds, a finding consistent with experimental binding studies. Together, these results (a) demonstrate that protein fold switching can be predicted using high-throughput computational approaches and (b) suggest that fold switching might be a general characteristic of ORF9b homologs. Twit Text FOAVip Predictable fold switching by the SARS-CoV-2 protein ORF9b ????Protein Sci http://www.kidney.de/pget.php?&tw=1&pmid=33934422 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33934422 #FOAvip English Wikipedia <ref>{{Cite pmid|33934422}}</ref> Predictable fold switching by the SARS-CoV-2 protein ORF9b #MMPMID33934422 Porter LL Protein Sci 2021[Aug]; 30 (8): 1723-1729 PMID33934422show ga Extant fold-switching proteins remodel their secondary structures and change their functions in response to environmental stimuli. These shapeshifting proteins regulate biological processes and are associated with a number of diseases, including tuberculosis, cancer, Alzheimer's, and autoimmune disorders. Thus, predictive methods are needed to identify more fold-switching proteins, especially since all naturally occurring instances have been discovered by chance. In response to this need, two high-throughput predictive methods have recently been developed. Here we test them on ORF9b, a newly discovered fold switcher and potential therapeutic target from the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Promisingly, both methods correctly indicate that ORF9b switches folds. We then tested the same two methods on ORF9b1, the ORF9b homolog from SARS-CoV-1. Again, both methods predict that ORF9b1 switches folds, a finding consistent with experimental binding studies. Together, these results (a) demonstrate that protein fold switching can be predicted using high-throughput computational approaches and (b) suggest that fold switching might be a general characteristic of ORF9b homologs. |Coronavirus Nucleocapsid Proteins/*chemistry/genetics/metabolism[MESH] |Humans[MESH] |Models, Molecular[MESH] |Phosphoproteins/chemistry/genetics/metabolism[MESH] |Protein Folding[MESH] |Protein Structure, Secondary[MESH]Predictable fold switching by the SARS-CoV-2 protein ORF9b (epmc).pdf DeepDyve Pubget Overpricing