a predictive model of intein insertion site for use in the engineering of molecular switchesintein插入站点的预测模型在工程中使用的分子开关.pdfVIP
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a predictive model of intein insertion site for use in the engineering of molecular switchesintein插入站点的预测模型在工程中使用的分子开关
A Predictive Model of Intein Insertion Site for Use in the
Engineering of Molecular Switches
James Apgar, Mary Ross, Xiao Zuo, Sarah Dohle, Derek Sturtevant, Binzhang Shen, Humberto de la
Vega, Philip Lessard, Gabor Lazar, R. Michael Raab*
Agrivida Inc., Medford, Maryland, United States of America
Abstract
Inteins are intervening protein domains with self-splicing ability that can be used as molecular switches to control activity of their
host protein. Successfully engineering an intein into a host protein requires identifying an insertion site that permits intein
insertion and splicing while allowing for proper folding of the mature protein post-splicing. By analyzing sequence and structure
based properties of native intein insertion sites we have identified four features that showed significant correlation with the
location of the intein insertion sites, and therefore may be useful in predicting insertion sites in other proteins that provide native-
like inteinfunction.Three oftheseproperties, thedistancetotheactivesite anddimerinterfacesite,theSVMscore ofthesplice site
cassette, and the sequence conservation of the site showed statistically significant correlation and strong predictive power, with
area under the curve (AUC) values of 0.79, 0.76, and 0.73 respectively, while the distance to secondary structure/loop junction
showed significance but with less predictive power (AUC of 0.54). In a case study of 20 insertion sites in the XynB xylanase, two
features of native insertion sites showed correlation with the splice sites and demonstrated predictive value in selecting non-
native splice sites. Structural modeling of intein insertions at two sites highlighted the role that the insertion site location could
play on the ability of the intein to modulate activity of the host protein. These findings can be used to enrich the selection of
ins
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