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      What is the Functional Role of N-terminal Transmembrane Helices in the Metabolism Mediated by Liver Microsomal Cytochrome P450 and its Reductase?

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          Principles governing amino acid composition of integral membrane proteins: application to topology prediction.

          A new method is suggested here for topology prediction of helical transmembrane proteins. The method is based on the hypothesis that the localizations of the transmembrane segments and the topology are determined by the difference in the amino acid distributions in various structural parts of these proteins rather than by specific amino acid compositions of these parts. A hidden Markov model with special architecture was developed to search transmembrane topology corresponding to the maximum likelihood among all the possible topologies of a given protein. The prediction accuracy was tested on 158 proteins and was found to be higher than that found using prediction methods already available. The method successfully predicted all the transmembrane segments in 143 proteins out of the 158, and for 135 of these proteins both the membrane spanning regions and the topologies were predicted correctly. The observed level of accuracy is a strong argument in favor of our hypothesis. Copyright 1998 Academic Press.
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            Cytochrome P450: nature's most versatile biological catalyst.

            The author describes studies that led to the resolution and reconstitution of the cytochrome P450 enzyme system in microsomal membranes. The review indicates how purification and characterization of the cytochromes led to rigorous evidence for multiple isoforms of the oxygenases with distinct chemical and physical properties and different but somewhat overlapping substrate specificities. Present knowledge of the individual steps in the P450 and reductase reaction cycles is summarized, including evidence for the generation of multiple functional oxidants that may contribute to the exceptional diversity of the reactions catalyzed.
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              Membrane protein structure prediction

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                Author and article information

                Journal
                Cell Biochemistry and Biophysics
                Cell Biochem Biophys
                Springer Nature
                1085-9195
                1559-0283
                May 2012
                February 1 2012
                May 2012
                : 63
                : 1
                : 35-45
                Article
                10.1007/s12013-012-9339-0
                3891b6b0-4e17-4335-b325-ab0446e7ad29
                © 2012
                History

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