Electrostatic Similarities between Protein and Small Molecule Ligands Facilitate the Design of Protein-Protein Interaction Inhibitors

One of the underlying principles in drug discovery is that a biologically active compound is complimentary in shape and molecular recognition features to its receptor. This principle infers that molecules binding to the same receptor may share some common features. Here, we have investigated whether the electrostatic similarity can be used for the discovery of small molecule protein-protein interaction inhibitors (SMPPIIs). We have developed a method that can be used to evaluate the similarity of electrostatic potentials between small molecules and known protein ligands. This method was implemented in a software called EleKit. Analyses of all available (at the time of research) SMPPII structures indicate that SMPPIIs bear some similarities of electrostatic potential with the ligand proteins of the same receptor. This is especially true for the more polar SMPPIIs. Retrospective analysis of several successful SMPPIIs has shown the applicability of EleKit in the design of new SMPPIIs.

[1]  D. Gunopulos,et al.  Automated computational framework for the analysis of electrostatic similarities of proteins , 2011, Biotechnology progress.

[2]  A. McCoy,et al.  Electrostatic complementarity at protein/protein interfaces. , 1997, Journal of molecular biology.

[3]  Dimitrios Morikis,et al.  Electrostatic Clustering and Free Energy Calculations Provide a Foundation for Protein Design and Optimization , 2010, Annals of Biomedical Engineering.

[4]  A. Voet,et al.  De novo design of small molecule inhibitors targeting the LEDGF/p75-HIV integrase interaction , 2012 .

[5]  Kam Y. J. Zhang,et al.  Pharmacophore modelling as a virtual screening tool for the discovery of small molecule protein-protein interaction inhibitors. , 2012, Current pharmaceutical design.

[6]  D. Fry Drug-like inhibitors of protein-protein interactions: a structural examination of effective protein mimicry. , 2008, Current protein & peptide science.

[7]  Traian Sulea,et al.  Solvated Interaction Energy (SIE) for Scoring Protein-Ligand Binding Affinities. 2. Benchmark in the CSAR-2010 Scoring Exercise , 2011, J. Chem. Inf. Model..

[8]  B. Honig,et al.  A rapid finite difference algorithm, utilizing successive over‐relaxation to solve the Poisson–Boltzmann equation , 1991 .

[9]  C. Chothia,et al.  The structure of protein-protein recognition sites. , 1990, The Journal of biological chemistry.

[10]  G. Verdine,et al.  The Challenge of Drugging Undruggable Targets in Cancer: Lessons Learned from Targeting BCL-2 Family Members , 2007, Clinical Cancer Research.

[11]  Gerhard Klebe,et al.  Fconv: Format Conversion, Manipulation and Feature Computation of Molecular Data , 2011, Bioinform..

[12]  Philippe Roche,et al.  Chemical and structural lessons from recent successes in protein-protein interaction inhibition (2P2I). , 2011, Current opinion in chemical biology.

[13]  J. Irwin,et al.  Benchmarking sets for molecular docking. , 2006, Journal of medicinal chemistry.

[14]  R. Wade,et al.  Classification of protein sequences by homology modeling and quantitative analysis of electrostatic similarity , 1999, Proteins.

[15]  J. D. Petke Cumulative and discrete similarity analysis of electrostatic potentials and fields , 1993, J. Comput. Chem..

[16]  Comparison of the physiologically equivalent proteins cytochrome c6 and plastocyanin on the basis of their electrostatic potentials. Tryptophan 63 in cytochrome c6 may be isofunctional with tyrosine 83 in plastocyanin. , 1997, Biochemistry.

[17]  Walter Filgueira de Azevedo,et al.  Molecular docking algorithms. , 2008, Current drug targets.

[18]  R J Lynch,et al.  Non-peptide fibrinogen receptor antagonists. 1. Discovery and design of exosite inhibitors. , 1992, Journal of medicinal chemistry.

[19]  Razif R. Gabdoulline,et al.  Protein interaction property similarity analysis , 2001 .

[20]  Michael M. Mysinger,et al.  Directory of Useful Decoys, Enhanced (DUD-E): Better Ligands and Decoys for Better Benchmarking , 2012, Journal of medicinal chemistry.

[21]  Imran Siddiqi,et al.  Solvated Interaction Energy (SIE) for Scoring Protein-Ligand Binding Affinities, 1. Exploring the Parameter Space , 2007, J. Chem. Inf. Model..

[22]  Philip M. Dean,et al.  Electrostatic complementarity between proteins and ligands. 1. Charge disposition, dielectric and interface effects , 1994, J. Comput. Aided Mol. Des..

[23]  B. Villoutreix,et al.  A leap into the chemical space of protein-protein interaction inhibitors. , 2012, Current pharmaceutical design.

[24]  Raman Sharma,et al.  ElectroShape: fast molecular similarity calculations incorporating shape, chirality and electrostatics , 2010, J. Comput. Aided Mol. Des..

[25]  David C Fry,et al.  Small-molecule inhibitors of protein-protein interactions: how to mimic a protein partner. , 2012, Current pharmaceutical design.

[26]  R. Di Cosmo,et al.  A "Minimal Disruption" Skeleton Experiment: Seamless Map & Reduce Embedding in OCaml , 2012, ICCS.

[27]  G Náray-Szabó,et al.  Analysis of molecular recognition: Steric electrostatic and hydrophobic complementarity , 1993, Journal of molecular recognition : JMR.

[28]  J. Trylska,et al.  Electrostatic similarity of proteins: application of three dimensional spherical harmonic decomposition. , 2008, The Journal of chemical physics.

[29]  Christopher L. McClendon,et al.  Reaching for high-hanging fruit in drug discovery at protein–protein interfaces , 2007, Nature.

[30]  R. Mann,et al.  The role of DNA shape in protein-DNA recognition , 2009, Nature.

[31]  A. Marchand,et al.  Rational design of small-molecule inhibitors of the LEDGF/p75-integrase interaction and HIV replication. , 2010, Nature chemical biology.

[32]  Nathan A. Baker,et al.  PDB2PQR: an automated pipeline for the setup of Poisson-Boltzmann electrostatics calculations , 2004, Nucleic Acids Res..

[33]  S. Muchmore,et al.  The Use of Three‐Dimensional Shape and Electrostatic Similarity Searching in the Identification of a Melanin‐Concentrating Hormone Receptor 1 Antagonist , 2006, Chemical biology & drug design.

[34]  Hongma Sun,et al.  Pharmacophore-based virtual screening. , 2008, Current medicinal chemistry.

[35]  Edward E. Hodgkin,et al.  Molecular similarity based on electrostatic potential and electric field , 1987 .

[36]  A. Barabasi,et al.  An empirical framework for binary interactome mapping , 2008, Nature Methods.

[37]  Hyeong Jun An,et al.  Estimating the size of the human interactome , 2008, Proceedings of the National Academy of Sciences.

[38]  J. Antosiewicz,et al.  Contributions of far-field hydrodynamic interactions to the kinetics of electrostatically driven molecular association. , 2012, The journal of physical chemistry. B.

[39]  William H. Press,et al.  Numerical Recipes 3rd Edition: The Art of Scientific Computing , 2007 .

[40]  Kam Y. J. Zhang,et al.  Protein interface pharmacophore mapping tools for small molecule protein: protein interaction inhibitor discovery. , 2013, Current topics in medicinal chemistry.

[41]  Dimitrios Morikis,et al.  The Two Sides of Complement C3d: Evolution of Electrostatics in a Link between Innate and Adaptive Immunity , 2012, PLoS Comput. Biol..

[42]  J M Thornton,et al.  Protein-protein interactions: a review of protein dimer structures. , 1995, Progress in biophysics and molecular biology.

[43]  Brian K. Shoichet,et al.  ZINC - A Free Database of Commercially Available Compounds for Virtual Screening , 2005, J. Chem. Inf. Model..

[44]  Damien Doligez,et al.  The OCaml system release 4.07: Documentation and user's manual , 2013 .

[45]  Nathan A. Baker,et al.  Electrostatics of nanosystems: Application to microtubules and the ribosome , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[46]  Michelle R. Arkin,et al.  Binding of small molecules to an adaptive protein–protein interface , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[47]  L. R. Scott,et al.  Electrostatics and diffusion of molecules in solution: simulations with the University of Houston Brownian dynamics program , 1995 .

[48]  Ramon Carbo,et al.  How similar is a molecule to another? An electron density measure of similarity between two molecular structures , 1980 .

[49]  Alexander M. Lewis,et al.  Identification of a chemical probe for NAADP by virtual screening , 2009, Nature chemical biology.