Identification and Analysis of Binding Site Residues in Protein-Protein Complexes

We have developed an energy based approach for identifying the binding sites and important residues for binding in protein-protein complexes. We found that the residues and residuepairs with charged and aromatic side chains are important for binding. These residues influence to form cation-¤Ç, electrostatic and aromatic interactions. Our observation has been verified with the experimental binding specificity of protein-protein complexes and found good agreement with experiments. The analysis on surrounding hydrophobicity reveals that the binding residues are less hydrophobic than non-binding sites, which suggests that the hydrophobic core are important for folding and stability whereas the surface seeking residues play a critical role in binding. Further, the propensity of residues in the binding sites of receptors and ligands, number of medium and long-range contacts, and influence of neighboring residues will be discussed.





References:
[1] Ofran Y, Rost B, Analysing six types of protein-protein interfaces. J Mol
Biol 2003, 325: 377-387.
[2] Chakrabarti P, Janin J Dissecting protein-protein recognition sites.
Proteins 2002, 47: 334-343.
[3] Guharoy M, Chakrabarti Conservation and relative importance of
residues across protein-protein interfaces. P Proc Natl Acad Sci U S A
2005, 102: 15447-15452.
[4] Ma B, Elkayam T, Wolfson H, Nussinov R Protein-protein interactions:
structurally conserved residues distinguish between binding sites and exposed protein surfaces. Proc Natl Acad Sci U S A 2003, 100: 5772-
5777.
[5] Sheinerman FB, Honig B On the role of electrostatic interactions in the
design of protein-protein interfaces. J Mol Biol 2002, 318: 161-177.
[6] Kortemme T, Baker D A simple physical model for binding energy hot
spots in protein-protein complexes. Proc Natl Acad Sci U S A 2002, 99:
14116-14121.
[7] Kundrotas PJ, Alexov E Electrostatic properties of protein-protein
complexes Biophys J 2006, 91: 1724-1736.
[8] Ofran Y, Rost B. Protein-protein interaction hotspots carved into
sequences. PLoS Comput Biol. 2007; 3: e119.
[9] Aung Z, Tan SH, Ng SK, Tan KL. PPiClust: efficient clustering of 3D
protein-protein interaction interfaces. J Bioinform Comput Biol. 2008; 6:
415-33.
[10] Urakubo Y, Ikura T, Ito N. Crystal structural analysis of protein-protein
interactions drastically destabilized by a single mutation Protein Sci.
2008; 17: 1055-65.
[11] Lensink MF, Méndez R. Recognition-induced conformational changes
in protein-protein docking Curr Pharm Biotechnol. 2008; 9: 77-86.
[12] Shoemaker BA, Panchenko AR. Deciphering protein-protein
interactions. Part I. Experimental techniques and databases PLoS
Comput Biol. 2007; 3: e42
[13] Shoemaker BA, Panchenko AR. Deciphering protein-protein
interactions. Part II. Computational methods to predict protein and
domain interaction partners PLoS Comput Biol. 2007; 3: e43.
[14] Keskin O, Gursoy A, Ma B, Nussinov R. Principles of protein-protein
interactions: what are the preferred ways for proteins to interact? Chem
Rev. 2008; 108: 1225-1244.
[15] Keskin O, Ma B, Rogale K, Gunasekaran K, Nussinov R. Proteinprotein
interactions: organization, cooperativity and mapping in a
bottom-up systems biology approach. Phys. Biol. 2005, 2, S24-35
[16] Jones S, Thornton JM. Prediction of protein-protein interaction sites
using patch analysis J Mol Biol 1997, 272: 133-143.
[17] Sikić M, Tomić S, Vlahovicek K. Prediction of protein-protein
interaction sites in sequences and 3D structures by random forests. PLoS
Comput Biol. 2009; 5: e1000278.
[18] Shulman-Peleg A, Shatsky M, Nussinov R, Wolfson HJ. Nucleic Acids
Res. 2008; 36: W260-264.
[19] Ertekin A, Nussinov R, Haliloglu T. Association of putative concave
protein-binding sites with the fluctuation behavior of residues.Protein
Sci. 2006; 15: 2265-2277
[20] Fariselli P, Pazos F, Valencia A, Casadio R Prediction of protein--
protein interaction sites in heterocomplexes with neural networks. Eur J
Biochem 2002, 269: 1356-1361.
[21] Koike A, Takagi T Prediction of protein-protein interaction sites using
support vector machines.Protein Eng Des Sel 2004, 17: 165-173.
[22] Res I, Mihalek I, Lichtarge O. An evolution based classifier for
prediction of protein interfaces without using protein structures
Bioinformatics. 2005; 21: 2496-501
[23] Ofran Y, Rost B. ISIS: interaction sites identified from sequence.
Bioinformatics. 2007;23(2):e13-6
[24] Li W, Keeble AH, Giffard C, James R, Moore GR, Kleanthous C.
Highly discriminating protein-protein interaction specificities in the
context of a conserved binding energy hotspot J Mol Biol. 2004; 337:
743-59
[25] Keskin O, Tsai CJ, Wolfson H, Nussinov R. A new, structurally
nonredundant, diverse data set of protein-protein interfaces and its
implications Protein Sci. 2004; 13:1043-55.
[26] Glaser F, Steinberg DM, Vakser IA, Ben-Tal N. Residue frequencies and
pairing preferences at protein-protein interfaces Proteins. 2001; 43: 89-
102.
[27] Berman H, Henrick K, Nakamura H, Markley JL. The worldwide Protein
Data Bank (wwPDB): ensuring a single, uniform archive of PDB data
Nucleic Acids Res. 2007; 35: D301-303.
[28] Needleman SB, Wunsch CD. A general method applicable to the search
for similarities in the amino acid sequence of two proteins. J Mol Biol.
1970; 48: 443-453.
[29] Cornell,W.D.; Cieplak, P.; Bayly,C. I.; Gould, I. R.;Merz, K.M., Jr.;
Ferguson,D.M.; Spellmeyer, D. C.; Fox, T.; Caldwell, J.W.; Kollman, P.
A. 1995. A second generation force field for the simulation of proteins,
nucleic acids, and organic molecules. J Am Chem Soc 1995, 117, 5179-
5197.
[30] Pichierri F, Aida M, Gromiha MM, Sarai A. Free-energy maps of baseamino
acid interactions in protein-DNA recognition. J. Amer. Chem.
Soc. 1999, 121, 6152-6157.
[31] Gromiha MM, Yokota K, Fukui K. Energy based approach for
understanding the recognition mechanism in protein-protein complexes.
Mol. Biosystems, DOI: 10.1039/B904161N.
[32] Kumar MD, Gromiha MM. PINT: protein-protein interactions
thermodynamic database. Nucleic Acids Res. 2006; 34: D195-8.
[33] Eletr ZM, Kuhlman B. Sequence determinants of E2-E6AP binding
affinity and specificity J Mol Biol. 2007; 369: 419-28
[34] Zhang JL, Simeonowa I, Wang Y, Sebald W. The high-affinity
interaction of human IL-4 and the receptor alpha chain is constituted by
two independent binding clusters. J Mol Biol. 2002; 315: 399-407
[35] Kiel C, Serrano L, Herrmann C. A detailed thermodynamic analysis of
ras/effector complex interfaces. J Mol Biol. 2004; 340: 1039-58.
[36] Manavalan P, Ponnuswamy PK. Hydrophobic character of amino acid
residues in globular proteins. Nature. 1978;275(5681):673-4.
[37] Ponnuswamy PK. Hydrophobic characteristics of folded proteins. Prog
Biophys Mol Biol. 1993;59(1):57-103.
[38] Nozaki Y, Tanford C. The solubility of amino acids and two glycine
peptides in aqueous ethanol and dioxane solutions. Establishment of a
hydrophobicity scale. J Biol Chem. 1971;246(7):2211-7.
[39] Jones DD. Amino acid properties and side-chain orientation in proteins:
a cross correlation approach. J Theor Biol 1975;50:167-183.
[40] Gromiha MM, Selvaraj S. Inter-residue interactions in protein folding
and stability. Prog Biophys Mol Biol. 2004;86(2):235-77.