liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Molecular Model of Human CYP21 Based onMammalian CYP2C5: Structural Features Correlatewith Clinical Severity of Mutations CausingCongenital Adrenal Hyperplasia
Department of Molecular Medicine and Surgery, Center for Molecular Medicine, L8:02, Karolinska Institutet/Karolinska University Hospital, S-171 76 Stockholm, Sweden.
Linköping University, Department of Physics, Chemistry and Biology, Bioinformatics . Linköping University, The Institute of Technology.
Linköping University, Department of Physics, Chemistry and Biology, Molecular Biotechnology . Linköping University, The Institute of Technology.
Department of Molecular Medicine and Surgery, Center for Molecular Medicine, L8:02, Karolinska Institutet/Karolinska University Hospital, S-171 76 Stockholm, Sweden.
Show others and affiliations
2006 (English)In: Molecular Endocrinology, ISSN 0888-8809, Vol. 20, no 11, 2946-2964 p.Article in journal (Refereed) Published
Abstract [en]

Enhanced understanding of structure-function relationshipsof human 21-hydroxylase, CYP21, is requiredto better understand the molecular causesof congenital adrenal hyperplasia. To this end, astructural model of human CYP21 was calculatedbased on the crystal structure of rabbit CYP2C5.All but two known allelic variants of missense type,a total of 60 disease-causing mutations and sixnormal variants, were analyzed using this model. Astructural explanation for the corresponding phenotypewas found for all but two mutants for whichavailable clinical data are also discrepant with invitro enzyme activity. Calculations of protein stabilityof modeled mutants were found to correlateinversely with the corresponding clinical severity.Putative structurally important residues were identifiedto be involved in heme and substrate binding,redox partner interaction, and enzyme catalysisusing docking calculations and analysis of structurallydetermined homologous cytochrome P450s(CYPs). Functional and structural consequences ofseven novel mutations, V139E, C147R, R233G,T295N, L308F, R366C, and M473I, detected inScandinavian patients with suspected congenitaladrenal hyperplasia of different severity, were predictedusing molecular modeling. Structural featuresdeduced from the models are in good correlationwith clinical severity of CYP21 mutants,which shows the applicability of a modeling approachin assessment of new CYP21 mutations.

Place, publisher, year, edition, pages
Stanford: The endocrin society , 2006. Vol. 20, no 11, 2946-2964 p.
Keyword [en]
Mutations, prediction, CAH, CYP21, homology model
National Category
Bioinformatics and Systems Biology
URN: urn:nbn:se:liu:diva-21305DOI: 10.1210/me.2006-0172OAI: diva2:241009
Available from: 2009-09-30 Created: 2009-09-30 Last updated: 2009-10-19Bibliographically approved
In thesis
1. Mutational effects on protein structure and function
Open this publication in new window or tab >>Mutational effects on protein structure and function
2009 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

In this thesis several important proteins are investigated from a structural perspective. Some of the proteins are disease related while other have important but not completely characterised functions. The techniques used are general as demonstrated by applications on metabolic proteins (CYP21, CYP11B1, IAPP, ADH3), regulatory proteins (p53, GDNF) and a transporter protein (ANTR1).

When the protein CYP21 (steroid 21-hydroxylase) is deficient it causes CAH (congenital adrenal hyperplasia). For this protein, there are about 60 known mutations with characterised clinical phenotypes. Using manual structural analysis we managed to explain the severity of all but one of the mutations. By observing the properties of these mutations we could perform good predictions on, at the time, not classified mutations.

For the cancer suppressor protein p53, there are over thousand mutations with known activity. To be able to analyse such a large number of mutations we developed an automated method for evaluation of the mutation effect called PREDMUT. In this method we include twelve different prediction parameters including two energy parameters calculated using an energy minimization procedure. The method manages to differentiate severe mutations from non-severe mutations with 77% accuracy on all possible single base substitutions and with 88% on mutations found in breast cancer patients.

The automated prediction was further applied to CYP11B1 (steroid 11-beta-hydroxylase), which in a similar way as CYP21 causes CAH when deficient. A generalized method applicable to any kind of globular protein was developed. The method was subsequently evaluated on nine additional proteins for which mutants were known with annotated disease phenotypes. This prediction achieved 84% accuracy on CYP11B1 and 81% accuracy in total on the evaluation proteins while leaving 8% as unclassified. By increasing the number of unclassified mutations the accuracy of the remaining mutations could be increased on the evaluation proteins and substantially increase the classification quality as measured by the Matthews correlation coefficient. Servers with predictions for all possible single based substitutions are provided for p53, CYP21 and CYP11B1.

The amyloid formation of IAPP (islet amyloid polypeptide) is strongly connected to diabetes and has been studied using both molecular dynamics and Monte Carlo energy minimization. The effects of mutations on the amount and speed of amyloid formation were investigated using three approaches. Applying a consensus of the three methods on a number of interesting mutations, 94% of the mutations could be correctly classified as amyloid forming or not, evaluated with in vitro measurements.

In the brain there are many proteins whose functions and interactions are largely unknown. GDNF (glial cell line-derived neurotrophic factor) and NCAM (neural cell adhesion molecule) are two such neuron connected proteins that are known to interact. The form of interaction was studied using protein--protein docking where a docking interface was found mediated by four oppositely charged residues in respective protein. This interface was subsequently confirmed by mutagenesis experiments. The NCAM dimer interface upon binding to the GDNF dimer was also mapped as well as an additional interacting protein, GFRα1, which was successfully added to the protein complex without any clashes.

A large and well studied protein family is the alcohol dehydrogenase family, ADH. A class of this family is ADH3 (alcohol dehydrogenase class III) that has several known substrates and inhibitors. By using virtual screening we tried to characterize new ligands. As some ligands were already known we could incorporate this knowledge when the compound docking simulations were scored and thereby find two new substrates and two new inhibitors which were subsequently successfully tested in vitro.

ANTR1 (anion transporter 1) is a membrane bound transporter important in the photosynthesis in plants. To be able to study the amino acid residues involved in inorganic phosphate transportation a homology model of the protein was created. Important residues were then mapped onto the structure using conservation analysis and we were in this way able to propose roles of amino acid residues involved in the transportation of inorganic phosphate. Key residues were subsequently mutated in vitro and a transportation process could be postulated.

To conclude, we have used several molecular modelling techniques to find functional clues, interaction sites and new ligands. Furthermore, we have investigated the effect of muations on the function and structure of a multitude of disease related proteins.


Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. 80 p.
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1271
Mutation, prediction, phenotypes, homology model, virtual screening, molecular dynamics, amyloid, cancer, membrane protein
National Category
Bioinformatics and Systems Biology
urn:nbn:se:liu:diva-50491 (URN)978-91-7393-539-9 (ISBN)
Public defence
2009-11-06, Planck, Fysikhuset, Campus Valla, Linköpings universitet, Linköping, 10:00 (English)
Available from: 2009-10-19 Created: 2009-10-12 Last updated: 2009-10-19Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textLink to Ph.D. Thesis

Search in DiVA

By author/editor
Carlsson, JonasSunnerhagen, MariaPersson, Bengt
By organisation
Bioinformatics The Institute of TechnologyMolecular Biotechnology
In the same journal
Molecular Endocrinology
Bioinformatics and Systems Biology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 106 hits
ReferencesLink to record
Permanent link

Direct link