Zawaira, Alexander and Gallotta, Marco and Beeton-Kempen, Natasha and Coulson, Lauren and Marais, Patrick and Kuttel, Michelle and Blackburn, Johnathan (2009) Exhaustive computational search of ionic-charge clusters that mediate interactions between mammalian cytochrome P450 (CYP) and P450-oxidoreductase (POR) proteins, Computational Biology and Chemistry, Elsevier.
Full text not available from this repository. (Use alternate locations listed below)Abstract
In this work, a model for the interaction between CYP2B4 and theFMNdomain of rat P450-oxidoreductase is built using as template the structure of a bacterial redox complex. Amino acid residues identified in the literature as cytochrome P450 (CYP)–redox partner interfacial residues map to the interface in our model. Our model supports the view that the bacterial template represents a specific electron transfer complex and moreover provides a structural framework for explaining previous experimental data. We have used our model in an exhaustive search for complementary pairs of mammalian CYP and P450-oxidoreductase (POR) charge clusters. We quantitatively show that among the previously defined basic clusters, the 433K–434R cluster is the most dominant (32.3% of interactions) and among the acidic clusters, the 207D–208D–209D cluster is the most dominant (29%). Our analysis also reveals the previously not described basic cluster 343R–345K (16.1% of interactions) and 373K (3.2%) and the acidic clusters 113D–115E–116E (25.8%), 92E–93E (12.9%), 101D (3.2%) and 179E (3.2%). Cluster pairings among the previously defined charge clusters include the pairing of cluster 421K–422R to cluster 207D–208D–209D. Moreover, 433K–434R and 207D–208D–209D, respectively the dominant positively and negatively charged clusters, are uncorrelated. Instead our analysis suggests that the newly identified cluster 113D–115E–116E is the main partner of the 433K–434R cluster while the newly described cluster 343R–345K is correlated to the cluster 207D–208D–209D.
| Item Type: | Journal article (paginated) |
|---|---|
| Subjects: | Applied computing > Life and medical sciences |
| Date Deposited: | 30 Nov 2009 |
| Last Modified: | 10 Oct 2019 15:34 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/575 |
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