Structural consensus in ligand‐protein docking identifies recognition peptide motifs that bind streptavidin

Computational structure prediction of streptavidin‐peptide complexes for known recognition sequences and a number of random di‐, tri‐, and tetrapeptides has been conducted, and mechanisms of peptide recognition with streptavidin have been investigated by a new computational protocol. The structural consensus criterion, which is computed from multiple docking simulations and measures the accessibility of the dominant binding mode, identifies recognition motifs from a set of random peptide sequences, whereas energetic analysis is less discriminatory. The predicted conformations of recognition tripeptide and tetrapeptide sequences are also in structural harmony and composed of peptide fragments that are individually unfrustrated in their bound conformation, resulting in a minimally frustrated energy landscape for recognition peptides. Proteins 28:421–433, 1997. © 1997 Wiley‐Liss, Inc.

[1]  Gennady M Verkhivker,et al.  Mean field analysis of FKBP12 complexes with FK506 and rapamycin: Implications for a role of crystallographic water molecules in molecular recognition and specificity , 1997, Proteins.

[2]  Charles R. Johnson,et al.  STRUCTURE-BASED DESIGN OF HIGH AFFINITY STREPTAVIDIN BINDING CYCLIC PEPTIDE LIGANDS CONTAINING THIOETHER CROSS-LINKES , 1995 .

[3]  K. Appelt,et al.  Crystal structures of HIV-1 protease-inhibitor complexes , 1993 .

[4]  Gennady M Verkhivker,et al.  Exploring the energy landscapes of molecular recognition by a genetic algorithm: analysis of the requirements for robust docking of HIV-1 protease and FKBP-12 complexes. , 1996, Proteins.

[5]  Patricia C. Weber,et al.  Crystal structure and ligand-binding studies of a screened peptide complexed with streptavidin. , 1992 .

[6]  B. Katz,et al.  Binding to protein targets of peptidic leads discovered by phage display: crystal structures of streptavidin-bound linear and cyclic peptide ligands containing the HPQ sequence. , 1995, Biochemistry.

[7]  G. Chang,et al.  Macromodel—an integrated software system for modeling organic and bioorganic molecules using molecular mechanics , 1990 .

[8]  S. Schreiber,et al.  Combinatorial Synthesis and Multidimensional NMR Spectroscopy: An Approach to Understanding Protein–Ligand Interactions , 1995 .

[9]  I. Wilson,et al.  Structural evidence for induced fit as a mechanism for antibody-antigen recognition. , 1994, Science.

[10]  R L Stanfield,et al.  Crystal structures of an antibody to a peptide and its complex with peptide antigen at 2.8 A. , 1992, Science.

[11]  R. Cass,et al.  Screening of cyclic peptide phage libraries identifies ligands that bind streptavidin with high affinities. , 1995, Biochemistry.

[12]  J. Devlin,et al.  Random peptide libraries: a source of specific protein binding molecules. , 1990, Science.

[13]  I. Kuntz Structure-Based Strategies for Drug Design and Discovery , 1992, Science.

[14]  R F Standaert,et al.  Atomic structures of the human immunophilin FKBP-12 complexes with FK506 and rapamycin. , 1993, Journal of molecular biology.

[15]  S. P. Fodor,et al.  Applications of combinatorial technologies to drug discovery. 1. Background and peptide combinatorial libraries. , 1994, Journal of medicinal chemistry.

[16]  A. Skerra,et al.  The random peptide library-assisted engineering of a C-terminal affinity peptide, useful for the detection and purification of a functional Ig Fv fragment. , 1993, Protein engineering.

[17]  N. Go Theoretical studies of protein folding. , 1983, Annual review of biophysics and bioengineering.

[18]  S. P. Fodor,et al.  Applications of combinatorial technologies to drug discovery. 2. Combinatorial organic synthesis, library screening strategies, and future directions. , 1994, Journal of medicinal chemistry.

[19]  P. A. Peterson,et al.  Crystal structures of two viral peptides in complex with murine MHC class I H-2Kb. , 1994, Science.

[20]  D. Yee,et al.  Principles of protein folding — A perspective from simple exact models , 1995, Protein science : a publication of the Protein Society.

[21]  R. Frank,et al.  Molecular interaction between the Strep-tag affinity peptide and its cognate target, streptavidin. , 1996, Journal of molecular biology.

[22]  J. Tainer,et al.  Predicting molecular interactions and inducible complementarity: Fragment docking of fab‐peptide complexes , 1994, Proteins.

[23]  J. J. Wendoloski,et al.  Crystallographic and thermodynamic comparison of natural and synthetic ligands bound to streptavidin , 1992 .

[24]  A. Wlodawer,et al.  Structure-based inhibitors of HIV-1 protease. , 1993, Annual review of biochemistry.

[25]  S. L. Mayo,et al.  DREIDING: A generic force field for molecular simulations , 1990 .

[26]  J. Wendoloski,et al.  Structural origins of high-affinity biotin binding to streptavidin. , 1989, Science.

[27]  K. Lam,et al.  A new type of synthetic peptide library for identifying ligand-binding activity , 1992, Nature.

[28]  S. Schreiber,et al.  A tricyclic ring system replaces the variable regions of peptides presented by three alleles of human MHC class I molecules. , 1995, Chemistry & biology.

[29]  E I Shakhnovich,et al.  Evolution-like selection of fast-folding model proteins. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[30]  W Nadler,et al.  On constructing folding heteropolymers. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[31]  J. Onuchic,et al.  Funnels, pathways, and the energy landscape of protein folding: A synthesis , 1994, Proteins.

[32]  Gennady M Verkhivker,et al.  Unraveling principles of lead discovery: from unfrustrated energy landscapes to novel molecular anchors. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[33]  G M Verkhivker,et al.  A mean field model of ligand-protein interactions: implications for the structural assessment of human immunodeficiency virus type 1 protease complexes and receptor-specific binding. , 1996, Proceedings of the National Academy of Sciences of the United States of America.

[34]  Wendell A. Lim,et al.  Structural determinants of peptide-binding orientation and of sequence specificity in SH3 domains , 1995, Nature.

[35]  S. Schreiber,et al.  STRUCTURAL BASIS FOR PEPTIDOMIMICRY BY A NATURAL PRODUCT , 1994 .

[36]  R F Standaert,et al.  Atomic structure of FKBP-FK506, an immunophilin-immunosuppressant complex , 1991, Science.

[37]  S. Schreiber,et al.  Two binding orientations for peptides to the Src SH3 domain: development of a general model for SH3-ligand interactions. , 1995, Science.

[38]  P. A. Peterson,et al.  Emerging principles for the recognition of peptide antigens by MHC class I molecules. , 1992, Science.

[39]  J. Scott Dixon,et al.  A good ligand is hard to find: Automated docking methods , 1993 .

[40]  Gennady M Verkhivker,et al.  Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming. , 1995, Chemistry & biology.