Simulation of conformational changes occurring when a protein interacts with its receptor

In order to simulate the conformational changes occurring when a protein interacts with its receptor, we firstly evaluated the structural differences between the experimental unbound and bound conformations for selected proteins and created theoretical complexes by replacing, in each experimental complex, the protein-bound with the protein-unbound chain. The theoretical models were then subjected to additional modeling refinements to improve the side chain geometry. Comparing the theoretical and experimental complexes in term of structural and energetic factors is resulted that the refined theoretical complexes became more similar to the experimental ones. We applied the same procedure within an homology modeling experiment, using as templates the experimental structures of human interleukin-1beta (IL-1beta) unbound and bound with its receptor, to build models of the homologous proteins from mouse and trout in unbound and bound conformations and to simulate the interaction with the related receptors. Our results suggest that homology modeling techniques are sensitive to differences between bound and unbound conformations, and that modeling with accuracy the side chains in the complex improves the interaction and molecular recognition. Moreover, our refinement procedure could be used in protein-protein interaction studies and, also, applied in conjunction with rigid-body docking when is not available the protein-bound conformation.

[1]  J. Thornton,et al.  Satisfying hydrogen bonding potential in proteins. , 1994, Journal of molecular biology.

[2]  S. Wodak,et al.  Assessment of CAPRI predictions in rounds 3–5 shows progress in docking procedures , 2005, Proteins.

[3]  François Stricher,et al.  The FoldX web server: an online force field , 2005, Nucleic Acids Res..

[4]  Arne Elofsson,et al.  All are not equal: A benchmark of different homology modeling programs , 2005, Protein science : a publication of the Protein Society.

[5]  S. Costantini,et al.  The CD8alpha from sea bass (Dicentrarchus labrax L.): Cloning, expression and 3D modelling. , 2006, Fish & shellfish immunology.

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

[7]  D. Cozzetto,et al.  Relationship between multiple sequence alignments and quality of protein comparative models , 2004, Proteins.

[8]  W. Kabsch,et al.  Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.

[9]  J. Thompson,et al.  CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. , 1994, Nucleic acids research.

[10]  S. Costantini,et al.  Modelling of HLA-DQ2 and its interaction with gluten peptides to explain molecular recognition in celiac disease. , 2005, Journal of molecular graphics & modelling.

[11]  Ceslovas Venclovas,et al.  Comparative modeling in CASP5: Progress is evident, but alignment errors remain a significant hindrance , 2003, Proteins.

[12]  B. Rost,et al.  Critical assessment of methods of protein structure prediction (CASP)—Round 6 , 2005, Proteins.

[13]  J. Thornton,et al.  PROCHECK: a program to check the stereochemical quality of protein structures , 1993 .

[14]  Anna Tramontano,et al.  Exploiting evolutionary relationships for predicting protein structures , 2003, Biotechnology and bioengineering.

[15]  A. Facchiano,et al.  Probing the modelled structure of Wheatwin1 by controlled proteolysis and sequence analysis of unfractionated digestion mixtures , 1999, Proteins.

[16]  Hongyi Zhou,et al.  A physical reference state unifies the structure‐derived potential of mean force for protein folding and binding , 2004, Proteins.

[17]  Roland L. Dunbrack Rotamer libraries in the 21st century. , 2002, Current opinion in structural biology.

[18]  Adam Zemla,et al.  Critical assessment of methods of protein structure prediction (CASP)‐round V , 2005, Proteins.

[19]  Anna Marabotti,et al.  Theoretical model of the three-dimensional structure of a sugar-binding protein from Pyrococcus horikoshii: structural analysis and sugar-binding simulations. , 2004, The Biochemical journal.

[20]  Alfonso Valencia,et al.  Assessment of predictions submitted for the CASP6 comparative modeling category , 2005, Proteins.

[21]  Adrian A Canutescu,et al.  Access the most recent version at doi: 10.1110/ps.03154503 References , 2003 .

[22]  E. Myers,et al.  Basic local alignment search tool. , 1990, Journal of molecular biology.

[23]  T. Blundell,et al.  Comparative protein modelling by satisfaction of spatial restraints. , 1993, Journal of molecular biology.

[24]  Sandor Vajda,et al.  Consensus alignment server for reliable comparative modeling with distant templates , 2004, Nucleic Acids Res..

[25]  C Venclovas,et al.  Comparative modeling of CASP4 target proteins: Combining results of sequence search with three‐dimensional structure assessment , 2001, Proteins.

[26]  C. Camacho,et al.  Modeling side‐chains using molecular dynamics improve recognition of binding region in CAPRI targets , 2005, Proteins.

[27]  A Sali,et al.  Comparative protein modeling by satisfaction of spatial restraints. , 1996, Molecular medicine today.

[28]  M. Marra,et al.  Homology modelling of the human eukaryotic initiation factor 5A (eIF-5A). , 2001, Protein engineering.

[29]  J. Janin The targets of CAPRI rounds 3–5 , 2005, Proteins.

[30]  S. Vajda,et al.  Anchor residues in protein-protein interactions. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[31]  P. Bossù,et al.  Modelling of fish interleukin-1 and its receptor. , 2004, Developmental and comparative immunology.

[32]  S. Jones,et al.  Principles of protein-protein interactions. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[33]  Andrej ⩽ali,et al.  Comparative protein modeling by satisfaction of spatial restraints , 1995 .

[34]  J M Thornton,et al.  Molecular recognition. Conformational analysis of limited proteolytic sites and serine proteinase protein inhibitors. , 1991, Journal of molecular biology.