Prediction of protein folding rates from primary sequence by fusing multiple sequential features
نویسندگان
چکیده
منابع مشابه
Prediction of protein folding rates from primary sequence by fusing multiple sequential features
We have developed a web-server for predicting the folding rate of a protein based on its amino acid sequence information alone. The webserver is called Pred-PFR (Predicting Protein Folding Rate). Pred-PFR is featured by fusing multiple individual predictors, each of which is established based on one special feature derived from the protein sequence. The ensemble predictor thus formed is superio...
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The ability to predict protein folding rates constitutes an important step in understanding the overall folding mechanisms. Although many of the prediction methods are structure based, successful predictions can also be obtained from the sequence. We developed a novel method called prediction of protein folding rates (PPFR), for the prediction of protein folding rates from protein sequences. PP...
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Experimental studies have demonstrated that many small, single-domain proteins fold via simple two-state kinetics. We present a first principles approach for predicting these experimentally determined folding rates. Our approach is based on a nucleation-condensation folding mechanism, where the rate-limiting step is a random, diffusive search for the native tertiary topology. To estimate the ra...
متن کاملFOLD-RATE: prediction of protein folding rates from amino acid sequence
We have developed a web server, FOLD-RATE, for predicting the folding rates of proteins from their amino acid sequences. The relationship between amino acid properties and protein folding rates has been systematically analyzed and a statistical method based on linear regression technique has been proposed for predicting the folding rate of proteins. We found that the classification of proteins ...
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ژورنال
عنوان ژورنال: Journal of Biomedical Science and Engineering
سال: 2009
ISSN: 1937-6871,1937-688X
DOI: 10.4236/jbise.2009.23024