Accounting for induced-fit effects in docking: what is possible and what is not?

Proteins can undergo a variety of conformational changes upon ligand binding. Although different mechanisms may play a role, the phenomenon is commonly referred to as induced fit to indicate that the tight structural complementarity of the interaction partners is a consequence of the binding event. Docking methods need to take into account this ability of the ligand and the protein to mutually adapt to each other when forming a complex. Handling the ligand as flexible is already common practice in docking applications. This is not yet the case for the protein. In fact, the accurate prediction of protein conformational changes upon ligand binding is still a major challenge, even more if computational speed is an issue, as for example in virtual screening applications. However, significant progress has been made over the past years and many valuable approaches have become available to address the protein flexibility problem and to provide more reliable docking predictions for complexes governed by significant induced-fit effects. This review provides a brief overview of the current situation, the most recent advances, and the remaining limitations of flexible protein docking, with particular focus on approaches handling protein flexibility simultaneously with ligand placement in the docking process.

[1]  Ian W. Davis,et al.  RosettaLigand docking with full ligand and receptor flexibility. , 2009, Journal of molecular biology.

[2]  F. Bushman,et al.  Developing a dynamic pharmacophore model for HIV-1 integrase. , 2000, Journal of medicinal chemistry.

[3]  T. Oas,et al.  Conformational selection or induced fit: A flux description of reaction mechanism , 2009, Proceedings of the National Academy of Sciences.

[4]  Viktor Hornak,et al.  HIV-1 protease flaps spontaneously open and reclose in molecular dynamics simulations. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[5]  D. Goodsell,et al.  Automated docking to multiple target structures: Incorporation of protein mobility and structural water heterogeneity in AutoDock , 2002, Proteins.

[6]  David S. Goodsell,et al.  AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility , 2009, J. Comput. Chem..

[7]  R. Nussinov,et al.  Is allostery an intrinsic property of all dynamic proteins? , 2004, Proteins.

[8]  H. Broughton,et al.  A method for including protein flexibility in protein-ligand docking: improving tools for database mining and virtual screening. , 2000, Journal of molecular graphics & modelling.

[9]  R. Glen,et al.  Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation. , 1995, Journal of molecular biology.

[10]  R. Abagyan,et al.  Flexible ligand docking to multiple receptor conformations: a practical alternative. , 2008, Current opinion in structural biology.

[11]  Chung F Wong,et al.  Flexible ligand-flexible protein docking in protein kinase systems. , 2008, Biochimica et biophysica acta.

[12]  Agnieszka Bronowska,et al.  Global Changes in Local Protein Dynamics Reduce the Entropic Cost of Carbohydrate Binding in the Arabinose-binding Protein , 2007, Journal of molecular biology.

[13]  P Willett,et al.  Development and validation of a genetic algorithm for flexible docking. , 1997, Journal of molecular biology.

[14]  Ruben Abagyan,et al.  ICM—A new method for protein modeling and design: Applications to docking and structure prediction from the distorted native conformation , 1994, J. Comput. Chem..

[15]  R Abagyan,et al.  Rational discovery of novel nuclear hormone receptor antagonists , 2000, Proc. Natl. Acad. Sci. USA.

[16]  David Baker,et al.  Blind docking of pharmaceutically relevant compounds using RosettaLigand , 2009, Protein science : a publication of the Protein Society.

[17]  Ruben Abagyan,et al.  A new method for ligand docking to flexible receptors by dual alanine scanning and refinement (SCARE) , 2008, J. Comput. Aided Mol. Des..

[18]  J. Thornton,et al.  Conformational changes observed in enzyme crystal structures upon substrate binding. , 2005, Journal of molecular biology.

[19]  A. Laio,et al.  Escaping free-energy minima , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[20]  David Baker,et al.  Macromolecular modeling with rosetta. , 2008, Annual review of biochemistry.

[21]  P. Charifson,et al.  Conformational analysis of drug-like molecules bound to proteins: an extensive study of ligand reorganization upon binding. , 2004, Journal of medicinal chemistry.

[22]  Somesh D. Sharma,et al.  Managing protein flexibility in docking and its applications. , 2009, Drug discovery today.

[23]  Ajay N. Jain Effects of protein conformation in docking: improved pose prediction through protein pocket adaptation , 2009, J. Comput. Aided Mol. Des..

[24]  Chung F. Wong,et al.  Conformational selection of protein kinase A revealed by flexible‐ligand flexible‐protein docking , 2009, J. Comput. Chem..

[25]  Lisa Yan,et al.  Fully Automated Molecular Mechanics Based Induced Fit Protein-Ligand Docking Method , 2008, J. Chem. Inf. Model..

[26]  Pedro Alexandrino Fernandes,et al.  Protein–ligand docking: Current status and future challenges , 2006, Proteins.

[27]  W. Wenzel,et al.  Comparison of stochastic optimization methods for receptor-ligand docking , 2002 .

[28]  E. Freire,et al.  Statistical thermodynamic linkage between conformational and binding equilibria. , 1998, Advances in protein chemistry.

[29]  Hualiang Jiang,et al.  Induced‐fit or preexisting equilibrium dynamics? Lessons from protein crystallography and MD simulations on acetylcholinesterase and implications for structure‐based drug design , 2008, Protein science : a publication of the Protein Society.

[30]  Francesco Luigi Gervasio,et al.  Exploring complex protein-ligand recognition mechanisms with coarse metadynamics. , 2009, The journal of physical chemistry. B.

[31]  Federico Gago,et al.  Overcoming the Inadequacies or Limitations of Experimental Structures as Drug Targets by Using Computational Modeling Tools and Molecular Dynamics Simulations , 2007, ChemMedChem.

[32]  D. Koshland Application of a Theory of Enzyme Specificity to Protein Synthesis. , 1958, Proceedings of the National Academy of Sciences of the United States of America.

[33]  Gennady M Verkhivker,et al.  Computer simulations of ligand–protein binding with ensembles of protein conformations: A Monte Carlo study of HIV‐1 protease binding energy landscapes , 1999 .

[34]  Christopher R. Corbeil,et al.  Docking Ligands into Flexible and Solvated Macromolecules. 2. Development and Application of Fitted 1.5 to the Virtual Screening of Potential HCV Polymerase Inhibitors , 2008, J. Chem. Inf. Model..

[35]  Holger Gohlke,et al.  Elastic Potential Grids: Accurate and Efficient Representation of Intermolecular Interactions for Fully Flexible Docking , 2009, ChemMedChem.

[36]  F. A. Neugebauer,et al.  Electrochemical oxidation and structural changes of 5,6-dihydrobenzo[c]cinnolines , 1996 .

[37]  K. Dill,et al.  Binding of small-molecule ligands to proteins: "what you see" is not always "what you get". , 2009, Structure.

[38]  Aqeel Ahmed,et al.  Protein Flexibility and Mobility in Structure-Based Drug Design , 2007 .

[39]  Chung F Wong,et al.  A mining minima approach to exploring the docking pathways of p-nitrocatechol sulfate to YopH. , 2007, Biophysical journal.

[40]  Holger Gohlke,et al.  Target flexibility: an emerging consideration in drug discovery and design. , 2008, Journal of medicinal chemistry.

[41]  Francesco Luigi Gervasio,et al.  The role of the peripheral anionic site and cation-pi interactions in the ligand penetration of the human AChE gorge. , 2005, Journal of the American Chemical Society.

[42]  C. E. Peishoff,et al.  A critical assessment of docking programs and scoring functions. , 2006, Journal of medicinal chemistry.

[43]  David S. Goodsell,et al.  Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function , 1998 .

[44]  Thomas Lengauer,et al.  A fast flexible docking method using an incremental construction algorithm. , 1996, Journal of molecular biology.

[45]  Rommie E. Amaro,et al.  An improved relaxed complex scheme for receptor flexibility in computer-aided drug design , 2008, J. Comput. Aided Mol. Des..

[46]  E. Fischer Einfluss der Configuration auf die Wirkung der Enzyme , 1894 .

[47]  I. Kuntz,et al.  Molecular docking to ensembles of protein structures. , 1997, Journal of molecular biology.

[48]  T. Creighton Proteins: Structures and Molecular Properties , 1986 .

[49]  H. Carlson Protein flexibility and drug design: how to hit a moving target. , 2002, Current opinion in chemical biology.

[50]  R Abagyan,et al.  High-throughput docking for lead generation. , 2001, Current opinion in chemical biology.

[51]  H. Bosshard,et al.  Molecular recognition by induced fit: how fit is the concept? , 2001, News in physiological sciences : an international journal of physiology produced jointly by the International Union of Physiological Sciences and the American Physiological Society.

[52]  M L Teodoro,et al.  Conformational flexibility models for the receptor in structure based drug design. , 2003, Current pharmaceutical design.

[53]  Jens Meiler,et al.  ROSETTALIGAND: Protein–small molecule docking with full side‐chain flexibility , 2006, Proteins.

[54]  Rafael Najmanovich,et al.  Side‐chain flexibility in proteins upon ligand binding , 2000, Proteins.

[55]  Richard A. Lewis,et al.  Lessons in molecular recognition: the effects of ligand and protein flexibility on molecular docking accuracy. , 2004, Journal of medicinal chemistry.

[56]  Christoph A Sotriffer,et al.  Addressing Protein Flexibility and Ligand Selectivity by “in situ Cross‐Docking” , 2006, ChemMedChem.

[57]  D. Koshland The Key–Lock Theory and the Induced Fit Theory , 1995 .

[58]  Martin Zacharias,et al.  Energy minimization in low‐frequency normal modes to efficiently allow for global flexibility during systematic protein–protein docking , 2008, Proteins.

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

[60]  Chung F Wong,et al.  Docking flexible peptide to flexible protein by molecular dynamics using two implicit-solvent models: an evaluation in protein kinase and phosphatase systems. , 2009, The journal of physical chemistry. B.

[61]  L. Kuhn,et al.  Virtual screening with solvation and ligand-induced complementarity , 2000 .

[62]  M. Zacharias,et al.  Protein-ligand docking accounting for receptor side chain and global flexibility in normal modes: evaluation on kinase inhibitor cross docking. , 2008, Journal of medicinal chemistry.

[63]  A. Laio,et al.  Flexible docking in solution using metadynamics. , 2005, Journal of the American Chemical Society.

[64]  Adrian H Elcock,et al.  Computational sampling of a cryptic drug binding site in a protein receptor: explicit solvent molecular dynamics and inhibitor docking to p38 MAP kinase. , 2006, Journal of molecular biology.

[65]  N M F S A Cerqueira,et al.  MADAMM: A multistaged docking with an automated molecular modeling protocol , 2009, Proteins.

[66]  Todd J. A. Ewing,et al.  DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases , 2001, J. Comput. Aided Mol. Des..

[67]  Matthias Rarey,et al.  Protein Flexibility in Structure‐Based Virtual Screening: From Models to Algorithms , 2011 .

[68]  Pieter F. W. Stouten,et al.  A molecular mechanics/grid method for evaluation of ligand–receptor interactions , 1995, J. Comput. Chem..

[69]  Lisa Yan,et al.  The dominant role of side‐chain backbone interactions in structural realization of amino acid code. ChiRotor: A side‐chain prediction algorithm based on side‐chain backbone interactions , 2007, Protein science : a publication of the Protein Society.

[70]  R. Friesner,et al.  Novel procedure for modeling ligand/receptor induced fit effects. , 2006, Journal of medicinal chemistry.

[71]  Gerhard Klebe,et al.  Probing flexibility and “induced‐fit” phenomena in aldose reductase by comparative crystal structure analysis and molecular dynamics simulations , 2004, Proteins.

[72]  Daniel A. Gschwend,et al.  Molecular docking towards drug discovery , 1996, Journal of molecular recognition : JMR.

[73]  A. Leach,et al.  Ligand docking to proteins with discrete side-chain flexibility. , 1994, Journal of molecular biology.

[74]  Natasja Brooijmans,et al.  Molecular recognition and docking algorithms. , 2003, Annual review of biophysics and biomolecular structure.

[75]  Roger S Armen,et al.  An Evaluation of Explicit Receptor Flexibility in Molecular Docking Using Molecular Dynamics and Torsion Angle Molecular Dynamics. , 2009, Journal of chemical theory and computation.

[76]  Christopher R. Corbeil,et al.  Docking Ligands into Flexible and Solvated Macromolecules. 3. Impact of Input Ligand Conformation, Protein Flexibility, and Water Molecules on the Accuracy of Docking Programs , 2009, J. Chem. Inf. Model..

[77]  J. Mccammon,et al.  Computational drug design accommodating receptor flexibility: the relaxed complex scheme. , 2002, Journal of the American Chemical Society.

[78]  S. Teague Implications of protein flexibility for drug discovery , 2003, Nature Reviews Drug Discovery.

[79]  Thomas Lengauer,et al.  Multiple automatic base selection: Protein–ligand docking based on incremental construction without manual intervention , 1997, J. Comput. Aided Mol. Des..

[80]  Ruben Abagyan,et al.  Four-dimensional docking: a fast and accurate account of discrete receptor flexibility in ligand docking. , 2009, Journal of medicinal chemistry.

[81]  J. Tainer,et al.  Screening a peptidyl database for potential ligands to proteins with side‐chain flexibility , 1998, Proteins.

[82]  Ruth Nussinov,et al.  Principles of docking: An overview of search algorithms and a guide to scoring functions , 2002, Proteins.

[83]  Wolfgang Wenzel,et al.  Flexible side chain models improve enrichment rates in in silico screening. , 2008, Journal of medicinal chemistry.

[84]  Gerhard Klebe,et al.  Docking and Scoring Functions/Virtual Screening , 2003 .

[85]  D J Diller,et al.  High throughput docking for library design and library prioritization , 2001, Proteins.

[86]  A. di Nola,et al.  Docking of flexible ligands to flexible receptors in solution by molecular dynamics simulation , 1999, Proteins.

[87]  István Kolossváry,et al.  Low‐mode conformational search elucidated: Application to C39H80 and flexible docking of 9‐deazaguanine inhibitors into PNP , 1999 .

[88]  Christopher R. Corbeil,et al.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go , 2008, British journal of pharmacology.

[89]  Christopher R. Corbeil,et al.  Docking Ligands into Flexible and Solvated Macromolecules, 1. Development and Validation of FITTED 1.0 , 2007, J. Chem. Inf. Model..

[90]  Matthias Rarey,et al.  Small Molecule Docking and Scoring , 2001 .

[91]  Christoph A Sotriffer,et al.  "In situ cross-docking" to simultaneously address multiple targets. , 2005, Journal of medicinal chemistry.

[92]  Martin Zacharias,et al.  How to Efficiently Include Receptor Flexibility During Computational Docking , 2008 .

[93]  Gennady M Verkhivker,et al.  Predicting structural effects in HIV‐1 protease mutant complexes with flexible ligand docking and protein side‐chain optimization , 1998, Proteins.

[94]  Gerhard Klebe,et al.  Flexible Adaptations in the Structure of the tRNA‐Modifying Enzyme tRNA–Guanine Transglycosylase and Their Implications for Substrate Selectivity, Reaction Mechanism and Structure‐Based Drug Design , 2003, Chembiochem : a European journal of chemical biology.

[95]  J A McCammon,et al.  Accommodating protein flexibility in computational drug design. , 2000, Molecular pharmacology.

[96]  J. Andrew McCammon,et al.  Method for Including the Dynamic Fluctuations of a Protein in Computer-Aided Drug Design , 1999 .

[97]  C. Yabe-Nishimura,et al.  Aldose reductase in glucose toxicity: a potential target for the prevention of diabetic complications. , 1998, Pharmacological reviews.

[98]  Gerhard Klebe,et al.  Virtual screening for submicromolar leads of tRNA-guanine transglycosylase based on a new unexpected binding mode detected by crystal structure analysis. , 2003, Journal of medicinal chemistry.

[99]  Gerhard Klebe,et al.  How reliable are current docking approaches for structure-based drug design? Lessons from aldose reductase. , 2007, Angewandte Chemie.

[100]  Thomas Lengauer,et al.  FlexE: efficient molecular docking considering protein structure variations. , 2001, Journal of molecular biology.

[101]  Charles L. Brooks,et al.  Detailed analysis of grid‐based molecular docking: A case study of CDOCKER—A CHARMm‐based MD docking algorithm , 2003, J. Comput. Chem..

[102]  Ruben Abagyan,et al.  Consistent Improvement of Cross-Docking Results Using Binding Site Ensembles Generated with Elastic Network Normal Modes , 2009, J. Chem. Inf. Model..

[103]  R Abagyan,et al.  Flexible protein–ligand docking by global energy optimization in internal coordinates , 1997, Proteins.

[104]  S. Kim,et al.  "Soft docking": matching of molecular surface cubes. , 1991, Journal of molecular biology.

[105]  P. Wolynes,et al.  The energy landscapes and motions of proteins. , 1991, Science.

[106]  Jozef Hritz,et al.  Impact of plasticity and flexibility on docking results for cytochrome P450 2D6: a combined approach of molecular dynamics and ligand docking. , 2008, Journal of medicinal chemistry.

[107]  Claudio N. Cavasotto,et al.  The Challenge of Considering Receptor Flexibility in Ligand Docking and Virtual Screening , 2005 .

[108]  J. Gready,et al.  Combining docking and molecular dynamic simulations in drug design , 2006, Medicinal research reviews.

[109]  Wolfgang Wenzel,et al.  Impact of receptor conformation on in silico screening performance , 2004 .

[110]  Wolfgang Wenzel,et al.  Application of the stochastic tunneling method to high throughput database screening , 2003 .

[111]  R. Nussinov,et al.  Folding funnels and binding mechanisms. , 1999, Protein engineering.