Combined covalent-electrostatic model of hydrogen bonding improves structure prediction with Rosetta.

Interactions between polar atoms are challenging to model because at very short ranges they form hydrogen bonds (H-bonds) that are partially covalent in character and exhibit strong orientation preferences; at longer ranges the orientation preferences are lost, but significant electrostatic interactions between charged and partially charged atoms remain. To simultaneously model these two types of behavior, we refined an orientation dependent model of hydrogen bonds [Kortemme et al. J. Mol. Biol. 2003, 326, 1239] used by the molecular modeling program Rosetta and then combined it with a distance-dependent Coulomb model of electrostatics. The functional form of the H-bond potential is physically motivated and parameters are fit so that H-bond geometries that Rosetta generates closely resemble H-bond geometries in high-resolution crystal structures. The combined potentials improve performance in a variety of scientific benchmarks including decoy discrimination, side chain prediction, and native sequence recovery in protein design simulations and establishes a new standard energy function for Rosetta.

[1]  E. Lippincott,et al.  One‐Dimensional Model of the Hydrogen Bond , 1955 .

[2]  C. Reid Semiempirical Treatment of the Hydrogen Bond , 1959 .

[3]  S. Lifson,et al.  Energy functions for peptides and proteins. I. Derivation of a consistent force field including the hydrogen bond from amide crystals. , 1974, Journal of the American Chemical Society.

[4]  M. Levitt,et al.  Theoretical studies of enzymic reactions: dielectric, electrostatic and steric stabilization of the carbonium ion in the reaction of lysozyme. , 1976, Journal of molecular biology.

[5]  Anthony J. Stone,et al.  Distributed multipole analysis, or how to describe a molecular charge distribution , 1981 .

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

[7]  M. Karplus,et al.  CHARMM: A program for macromolecular energy, minimization, and dynamics calculations , 1983 .

[8]  Olga Kennard,et al.  Geometry of the nitrogen-hydrogen...oxygen-carbon (N-H...O:C) hydrogen bond. 2. Three-center (bifurcated) and four-center (trifurcated) bonds , 1984 .

[9]  A. Warshel,et al.  Macroscopic models for studies of electrostatic interactions in proteins: limitations and applicability. , 1984, Proceedings of the National Academy of Sciences of the United States of America.

[10]  E. Baker,et al.  Hydrogen bonding in globular proteins. , 1984, Progress in biophysics and molecular biology.

[11]  A. Fersht,et al.  Hydrogen bonding and biological specificity analysed by protein engineering , 1985, Nature.

[12]  R. H. Ritchie,et al.  Dielectric effects in biopolymers: The theory of ionic saturation revisited , 1985 .

[13]  Angelo Vedani,et al.  YETI: An interactive molecular mechanics program for small‐molecule protein complexes , 1988 .

[14]  R. Wade,et al.  New hydrogen-bond potentials for use in determining energetically favorable binding sites on molecules of known structure. , 1989, Journal of medicinal chemistry.

[15]  S. Scheiner,et al.  Hydrogen Bonding and Proton Transfers Involving the Carboxylate Group , 1989 .

[16]  Norman L. Allinger,et al.  Directional hydrogen bonding in the MM3 force field. I , 1994 .

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

[18]  A. Gavezzotti,et al.  Geometry of the Intermolecular X-H.cntdot..cntdot..cntdot.Y (X, Y = N, O) Hydrogen Bond and the Calibration of Empirical Hydrogen-Bond Potentials , 1994 .

[19]  Z. Derewenda,et al.  The occurrence of C-H...O hydrogen bonds in proteins. , 1995, Journal of molecular biology.

[20]  Ajay N. Jain Scoring noncovalent protein-ligand interactions: A continuous differentiable function tuned to compute binding affinities , 1996, J. Comput. Aided Mol. Des..

[21]  C. Sander,et al.  Positioning hydrogen atoms by optimizing hydrogen‐bond networks in protein structures , 1996, Proteins.

[22]  Jenn-Huei Lii,et al.  Directional hydrogen bonding in the MM3 force field: II , 1998 .

[23]  J. Richardson,et al.  Asparagine and glutamine: using hydrogen atom contacts in the choice of side-chain amide orientation. , 1999, Journal of molecular biology.

[24]  Eugene I. Shakhnovich,et al.  Development of a Knowledge-Based Potential for Crystals of Small Organic Molecules: Calculation of Energy Surfaces for C)0‚‚‚H-N Hydrogen Bonds , 2000 .

[25]  T. N. Bhat,et al.  The Protein Data Bank , 2000, Nucleic Acids Res..

[26]  Michael W. Mahoney,et al.  A five-site model for liquid water and the reproduction of the density anomaly by rigid, nonpolarizable potential functions , 2000 .

[27]  P Hobza,et al.  Noncovalent interactions: a challenge for experiment and theory. , 2000, Chemical reviews.

[28]  Alexander D. MacKerell,et al.  Development and current status of the CHARMM force field for nucleic acids , 2000, Biopolymers.

[29]  Pavel Hobza,et al.  Noncovalent Interactions: A Challenge for Experiment and Theory , 2000 .

[30]  R. Friesner,et al.  Evaluation and Reparametrization of the OPLS-AA Force Field for Proteins via Comparison with Accurate Quantum Chemical Calculations on Peptides† , 2001 .

[31]  Richard Bertram,et al.  An improved hydrogen bond potential: Impact on medium resolution protein structures , 2002, Protein science : a publication of the Protein Society.

[32]  Paul M. G. Curmi,et al.  Twist and shear in β-sheets and β-ribbons , 2002 .

[33]  D. Baker,et al.  An orientation-dependent hydrogen bonding potential improves prediction of specificity and structure for proteins and protein-protein complexes. , 2003, Journal of molecular biology.

[34]  J. Ponder,et al.  Force fields for protein simulations. , 2003, Advances in protein chemistry.

[35]  D. Baker,et al.  Design of a Novel Globular Protein Fold with Atomic-Level Accuracy , 2003, Science.

[36]  David Baker,et al.  Evaluation of Models of Electrostatic Interactions in Proteins , 2003 .

[37]  Ad Bax,et al.  An empirical backbone-backbone hydrogen-bonding potential in proteins and its applications to NMR structure refinement and validation. , 2004, Journal of the American Chemical Society.

[38]  O. Schueler‐Furman,et al.  Improved side‐chain modeling for protein–protein docking , 2005, Protein science : a publication of the Protein Society.

[39]  Barry Honig,et al.  An assessment of the accuracy of methods for predicting hydrogen positions in protein structures , 2005, Proteins.

[40]  Tanja Kortemme,et al.  Potential functions for hydrogen bonds in protein structure prediction and design. , 2005, Advances in protein chemistry.

[41]  Feng Ding,et al.  Emergence of Protein Fold Families through Rational Design , 2006, PLoS Comput. Biol..

[42]  D. Baker,et al.  Computational redesign of endonuclease DNA binding and cleavage specificity , 2006, Nature.

[43]  Jenn-Huei Lii,et al.  The important role of lone-pairs in force field (MM4) calculations on hydrogen bonding in alcohols. , 2008, The journal of physical chemistry. A.

[44]  E. Coutsias,et al.  Sub-angstrom accuracy in protein loop reconstruction by robotics-inspired conformational sampling , 2009, Nature Methods.

[45]  V. Bertolasi,et al.  Predicting hydrogen-bond strengths from acid-base molecular properties. The pK(a) slide rule: toward the solution of a long-lasting problem. , 2009, Accounts of chemical research.

[46]  Jasmine L. Gallaher,et al.  Computational Design of an Enzyme Catalyst for a Stereoselective Bimolecular Diels-Alder Reaction , 2010, Science.

[47]  Qiang Zhang,et al.  Multivariate Discrete Hidden Markov Models for Domain-Based Measurements and Assessment of Risk Factors in Child Development , 2010, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.

[48]  Hadley Wickham,et al.  A Layered Grammar of Graphics , 2010 .

[49]  Arieh Warshel,et al.  Coarse-grained (multiscale) simulations in studies of biophysical and chemical systems. , 2011, Annual review of physical chemistry.

[50]  Timothy A. Whitehead,et al.  Computational Design of Proteins Targeting the Conserved Stem Region of Influenza Hemagglutinin , 2011, Science.

[51]  Jason E. Donald,et al.  Salt bridges: Geometrically specific, designable interactions , 2011, Proteins.

[52]  Roland L. Dunbrack,et al.  A smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressions. , 2011, Structure.

[53]  David Baker,et al.  Algorithm discovery by protein folding game players , 2011, Proceedings of the National Academy of Sciences.

[54]  D. Baker,et al.  Structure-guided forcefield optimization , 2011, Proteins.

[55]  Pavel Hobza,et al.  Advanced Corrections of Hydrogen Bonding and Dispersion for Semiempirical Quantum Mechanical Methods. , 2012, Journal of chemical theory and computation.

[56]  Ryo Takeuchi,et al.  Computational redesign of a mononuclear zinc metalloenzyme for organophosphate hydrolysis. , 2012, Nature chemical biology.

[57]  R. Trievel,et al.  Carbon-Oxygen Hydrogen Bonding in Biological Structure and Function , 2012, The Journal of Biological Chemistry.

[58]  D. Baker,et al.  Principles for designing ideal protein structures , 2012, Nature.

[59]  Zhong-Zhi Yang,et al.  Direct evaluation of individual hydrogen bond energy in situ in intra‐ and intermolecular multiple hydrogen bonds system , 2012, J. Comput. Chem..

[60]  David Baker,et al.  Efficient sampling of protein conformational space using fast loop building and batch minimization on highly parallel computers , 2012, J. Comput. Chem..

[61]  Heather J Kulik,et al.  Ab initio quantum chemistry for protein structures. , 2012, The journal of physical chemistry. B.

[62]  Pengyu Y. Ren,et al.  The Polarizable Atomic Multipole-based AMOEBA Force Field for Proteins. , 2013, Journal of chemical theory and computation.

[63]  Pengyu Y. Ren,et al.  Systematic improvement of a classical molecular model of water. , 2013, The journal of physical chemistry. B.

[64]  B. Shoichet,et al.  The Impact of Introducing a Histidine into an Apolar Cavity Site on Docking and Ligand Recognition , 2013, Journal of medicinal chemistry.

[65]  Jack Snoeyink,et al.  Scientific benchmarks for guiding macromolecular energy function improvement. , 2013, Methods in enzymology.

[66]  Lee-Ping Wang,et al.  Systematic Parametrization of Polarizable Force Fields from Quantum Chemistry Data. , 2013, Journal of chemical theory and computation.

[67]  B. Kuhlman,et al.  A comparison of successful and failed protein interface designs highlights the challenges of designing buried hydrogen bonds , 2013, Protein science : a publication of the Protein Society.

[68]  D. Baker,et al.  Relaxation of backbone bond geometry improves protein energy landscape modeling , 2014, Protein science : a publication of the Protein Society.