Steps towards flexible docking: Modeling of three-dimensional structures of the nuclear receptors bound with peptide ligands mimicking co-activators’ sequences

We developed a fully flexible docking method that uses a reduced lattice representation of protein molecules, adapted for modeling peptide-protein complexes. The CABS model (Carbon Alpha, Carbon Beta, Side Group) employed here, incorporates three pseudo-atoms per residue-Calpha, Cbeta and the center of the side group instead of full-atomic protein representation. Force field used by CABS was derived from statistical analysis of non-redundant database of protein structures. Application of our method included modeling of the complexes between various nuclear receptors (NRs) and peptide co-activators, for which three-dimensional structures are known. We tried to rebuild the native state of the complexes, starting from separated components. Accuracy of the best obtained models, calculated as coordinate root-mean-square deviation (cRMSD) between the target and the modeled structures, was under 1A, which is competitive with experimental methods, such as crystallography or NMR. Forthcoming modeling study should lead to better understanding of mechanisms of macromolecular assembly and will explain co-activators' effects on receptors activity, especially on vitamin D receptor and other nuclear receptors.

[1]  H. DeLuca,et al.  Model of three-dimensional structure of VDR bound with Vitamin D3 analogs substituted at carbon-2 , 2004, The Journal of Steroid Biochemistry and Molecular Biology.

[2]  K. Umesono,et al.  The nuclear receptor superfamily: The second decade , 1995, Cell.

[3]  Andrzej Kolinski,et al.  Protein modeling with reduced representation: statistical potentials and protein folding mechanism. , 2005, Acta biochimica Polonica.

[4]  Janusz M Bujnicki,et al.  Generalized protein structure prediction based on combination of fold‐recognition with de novo folding and evaluation of models , 2005, Proteins.

[5]  S. Vajda,et al.  Protein-protein docking: is the glass half-full or half-empty? , 2004, Trends in biotechnology.

[6]  A G Murzin,et al.  SCOP: a structural classification of proteins database for the investigation of sequences and structures. , 1995, Journal of molecular biology.

[7]  Wang,et al.  Replica Monte Carlo simulation of spin glasses. , 1986, Physical review letters.

[8]  A. Kolinski Protein modeling and structure prediction with a reduced representation. , 2004, Acta biochimica Polonica.

[9]  R. Evans,et al.  Nuclear receptors and lipid physiology: opening the X-files. , 2001, Science.

[10]  A. Kolinski,et al.  2-Ethyl and 2-ethylidene analogues of 1alpha,25-dihydroxy-19-norvitamin D(3): synthesis, conformational analysis, biological activities, and docking to the modeled rVDR ligand binding domain. , 2002, Journal of medicinal chemistry.

[11]  R. Evans,et al.  The steroid and thyroid hormone receptor superfamily. , 1988, Science.

[12]  Dominik Gront,et al.  Denatured proteins and early folding intermediates simulated in a reduced conformational space. , 2005, Acta biochimica Polonica.

[13]  Andrzej Kolinski,et al.  Protein fragment reconstruction using various modeling techniques , 2003, J. Comput. Aided Mol. Des..

[14]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.

[15]  Andrzej Kolinski,et al.  Model of three‐dimensional structure of vitamin D receptor and its binding mechanism with 1α,25‐dihydroxyvitamin D3 , 2001, Proteins.

[16]  Dominik Gront,et al.  HCPM - program for hierarchical clustering of protein models , 2005, Bioinform..