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Several predictions have been made regarding the secondary structure of this repeat, all involving the formation of hairpin structures.
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Several useful predictions have been obtained from such in-silico models [ 23, 24], including predicting the consequences of gene deletions, optimal growth patterns, outcomes of adaptive evolution and more.
Although the bank's predictions are typically for unlikely events, several previous predictions have unfortunately come true.
Several totally new results and predictions have been obtained here.
Although several prediction methods have been reported, unsatisfied accuracy has limited the broad usages in linear B-cell epitope prediction.
To overcome this challenge, several computational approaches for in silico predictions have been developed in recent years, reviewed recently by Thusberg and Vihinen (Thusberg and Vihinen, 2009).
Several prediction models have been evaluated in the literature and inconsistent findings have been reported regarding which technique is the best (Shepperd and MacDonell 2012; Dejaeger et al. 2012).
Several prediction models have been evaluated in the literature and inconsistent findings have been reported regarding which technique is the best (Jorgensen and Shepperd 2007; Shepperd 2007; Dejaeger et al. 2012; Shepperd and MacDonell 2012).
Several prediction equations have been developed to predict body adiposity.
Since lifestyle modification has been demonstrated to be effective in prevention of type 2 diabetes, several prediction models have been developed to detect high-risk individuals among apparently healthy people for early intervention.
Because of the high prevalence and potentially serious complications of obstructive sleep apnea (OSA) in obese individuals, several prediction models have been developed to detect moderate-to-severe OSA in patients undergoing bariatric surgery.
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