dc.contributor.author
Grebner, Christoph
dc.contributor.author
Lecina, Daniel
dc.contributor.author
Gil, Víctor
dc.contributor.author
Ulander, Johan
dc.contributor.author
Hansson, Pia K.
dc.contributor.author
Dellsen, Anita
dc.contributor.author
Tyrchan, Christian
dc.contributor.author
Edman, Karl
dc.contributor.author
Hogner, Anders C.
dc.contributor.author
Guallar i Tasies, Víctor
dc.date.issued
2018-05-16T09:18:51Z
dc.date.issued
2018-05-16T09:18:51Z
dc.identifier
Grebner C, Lecina D, Gil V, Ulander J, Hansson P, Dellsen A et al. Exploring Binding Mechanisms in Nuclear Hormone Receptors by Monte Carlo and X-ray-derived Motions. Biophys J. 2017 Mar; 112(6): 1147-1156. DOI: 10.1016/j.bpj.2017.02.004
dc.identifier
http://hdl.handle.net/10230/34645
dc.identifier
http://dx.doi.org/10.1016/j.bpj.2017.02.004
dc.description.abstract
In this study, we performed an extensive exploration of the ligand entry mechanism for members of the steroid nuclear hormone receptor family (androgen receptor, estrogen receptor α, glucocorticoid receptor, mineralocorticoid receptor, and progesterone receptor) and their endogenous ligands. The exploration revealed a shared entry path through the helix 3, 7, and 11 regions. Examination of the x-ray structures of the receptor-ligand complexes further showed two distinct folds of the helix 6-7 region, classified as "open" and "closed", which could potentially affect ligand binding. To improve sampling of the helix 6-7 loop, we incorporated motion modes based on principal component analysis of existing crystal structures of the receptors and applied them to the protein-ligand sampling. A detailed comparison with the anisotropic network model (an elastic network model) highlights the importance of flexibility in the entrance region. While the binding (interaction) energy of individual simulations can be used to score different ligands, extensive sampling further allows us to predict absolute binding free energies and analyze reaction kinetics using Markov state models and Perron-cluster cluster analysis, respectively. The predicted relative binding free energies for three ligands binding to the progesterone receptor are in very good agreement with experimental results and the Perron-cluster cluster analysis highlighted the importance of a peripheral binding site. Our analysis revealed that the flexibility of the helix 3, 7, and 11 regions represents the most important factor for ligand binding. Furthermore, the hydrophobicity of the ligand influences the transition between the peripheral and the active binding site.
dc.format
application/pdf
dc.format
application/pdf
dc.relation
Biophys J. 2017 Mar; 112(6): 1147-1156
dc.rights
© Elsevier This is the published version of an article http://dx.doi.org/10.1016/j.bpj.2017.02.004 that appeared in the journal Biophysical Journal. It is published in an Open Archive under an Elsevier user license. Details of this licence are available here: https://www.elsevier.com/about/our-business/policies/open-access-licenses/elsevier-user-license
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Protein binding
dc.subject
Mineralocorticoid receptor
dc.subject
Hormone receptor
dc.title
Exploring binding mechanisms in nuclear hormone receptors by Monte Carlo and x-ray-derived motions
dc.type
info:eu-repo/semantics/article
dc.type
info:eu-repo/semantics/publishedVersion