Literature DB >> 19782087

Predicting ligand binding affinity with alchemical free energy methods in a polar model binding site.

Sarah E Boyce1, David L Mobley, Gabriel J Rocklin, Alan P Graves, Ken A Dill, Brian K Shoichet.   

Abstract

We present a combined experimental and modeling study of organic ligand molecules binding to a slightly polar engineered cavity site in T4 lysozyme (L99A/M102Q). For modeling, we computed alchemical absolute binding free energies. These were blind tests performed prospectively on 13 diverse, previously untested candidate ligand molecules. We predicted that eight compounds would bind to the cavity and five would not; 11 of 13 predictions were correct at this level. The RMS error to the measurable absolute binding energies was 1.8 kcal/mol. In addition, we computed "relative" binding free energies for six phenol derivatives starting from two known ligands: phenol and catechol. The average RMS error in the relative free energy prediction was 2.5 kcal/mol (phenol) and 1.1 kcal/mol (catechol). To understand these results at atomic resolution, we obtained x-ray co-complex structures for nine of the diverse ligands and for all six phenol analogs. The average RMSD of the predicted pose to the experiment was 2.0 A (diverse set), 1.8 A (phenol-derived predictions), and 1.2 A (catechol-derived predictions). We found that predicting accurate affinities and rank-orderings required near-native starting orientations of the ligand in the binding site. Unanticipated binding modes, multiple ligand binding, and protein conformational change all proved challenging for the free energy methods. We believe that these results can help guide future improvements in physics-based absolute binding free energy methods.

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Year:  2009        PMID: 19782087      PMCID: PMC2788029          DOI: 10.1016/j.jmb.2009.09.049

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  37 in total

1.  Modeling protein-small molecule interactions: structure and thermodynamics of noble gases binding in a cavity in mutant phage T4 lysozyme L99A.

Authors:  G Mann; J Hermans
Journal:  J Mol Biol       Date:  2000-09-29       Impact factor: 5.469

2.  PRODRG: a tool for high-throughput crystallography of protein-ligand complexes.

Authors:  Alexander W Schüttelkopf; Daan M F van Aalten
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2004-07-21

3.  Free energy, entropy, and induced fit in host-guest recognition: calculations with the second-generation mining minima algorithm.

Authors:  Chia-En Chang; Michael K Gilson
Journal:  J Am Chem Soc       Date:  2004-10-13       Impact factor: 15.419

4.  Equilibrium free energies from nonequilibrium measurements using maximum-likelihood methods.

Authors:  Michael R Shirts; Eric Bair; Giles Hooker; Vijay S Pande
Journal:  Phys Rev Lett       Date:  2003-10-02       Impact factor: 9.161

5.  FEP-guided selection of bicyclic heterocycles in lead optimization for non-nucleoside inhibitors of HIV-1 reverse transcriptase.

Authors:  Joseph T Kim; Andrew D Hamilton; Christopher M Bailey; Robert A Domaoal; Robert A Domoal; Ligong Wang; Karen S Anderson; William L Jorgensen
Journal:  J Am Chem Soc       Date:  2006-12-06       Impact factor: 15.419

6.  Automatic atom type and bond type perception in molecular mechanical calculations.

Authors:  Junmei Wang; Wei Wang; Peter A Kollman; David A Case
Journal:  J Mol Graph Model       Date:  2006-02-03       Impact factor: 2.518

7.  Accurate and efficient corrections for missing dispersion interactions in molecular simulations.

Authors:  Michael R Shirts; David L Mobley; John D Chodera; Vijay S Pande
Journal:  J Phys Chem B       Date:  2007-10-19       Impact factor: 2.991

8.  Predicting absolute ligand binding free energies to a simple model site.

Authors:  David L Mobley; Alan P Graves; John D Chodera; Andrea C McReynolds; Brian K Shoichet; Ken A Dill
Journal:  J Mol Biol       Date:  2007-06-08       Impact factor: 5.469

9.  Specificity of ligand binding in a buried nonpolar cavity of T4 lysozyme: linkage of dynamics and structural plasticity.

Authors:  A Morton; B W Matthews
Journal:  Biochemistry       Date:  1995-07-11       Impact factor: 3.162

10.  Are mixed explicit/implicit solvation models reliable for studying phosphate hydrolysis? A comparative study of continuum, explicit and mixed solvation models.

Authors:  Shina C L Kamerlin; Maciej Haranczyk; Arieh Warshel
Journal:  Chemphyschem       Date:  2009-05-11       Impact factor: 3.102

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  79 in total

1.  Computational investigation of glycosylation effects on a family 1 carbohydrate-binding module.

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Journal:  J Biol Chem       Date:  2011-12-06       Impact factor: 5.157

2.  Let's get honest about sampling.

Authors:  David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2011-11-24       Impact factor: 3.686

3.  Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.

Authors:  Pavel V Klimovich; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2010-04-06       Impact factor: 3.686

Review 4.  Prediction of protein-ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations.

Authors:  Julien Michel; Jonathan W Essex
Journal:  J Comput Aided Mol Des       Date:  2010-05-28       Impact factor: 3.686

5.  Dependency of ligand free energy landscapes on charge parameters and solvent models.

Authors:  Yuko Okamoto; Toshimasa Tanaka; Hironori Kokubo
Journal:  J Comput Aided Mol Des       Date:  2010-05-22       Impact factor: 3.686

6.  Biophysical probes reveal a "compromise" nature of the methyl-lysine binding pocket in L3MBTL1.

Authors:  Cen Gao; J Martin Herold; Dmitri Kireev; Tim Wigle; Jacqueline L Norris; Stephen Frye
Journal:  J Am Chem Soc       Date:  2011-03-23       Impact factor: 15.419

7.  In silico design of peptides as potential ligands to resistin.

Authors:  L América Chi; M Cristina Vargas
Journal:  J Mol Model       Date:  2020-04-15       Impact factor: 1.810

8.  Absolute Binding Free Energies between T4 Lysozyme and 141 Small Molecules: Calculations Based on Multiple Rigid Receptor Configurations.

Authors:  Bing Xie; Trung Hai Nguyen; David D L Minh
Journal:  J Chem Theory Comput       Date:  2017-05-01       Impact factor: 6.006

9.  Impact of mutations on the allosteric conformational equilibrium.

Authors:  Patrick Weinkam; Yao Chi Chen; Jaume Pons; Andrej Sali
Journal:  J Mol Biol       Date:  2012-12-07       Impact factor: 5.469

10.  Escaping Atom Types in Force Fields Using Direct Chemical Perception.

Authors:  David L Mobley; Caitlin C Bannan; Andrea Rizzi; Christopher I Bayly; John D Chodera; Victoria T Lim; Nathan M Lim; Kyle A Beauchamp; David R Slochower; Michael R Shirts; Michael K Gilson; Peter K Eastman
Journal:  J Chem Theory Comput       Date:  2018-10-30       Impact factor: 6.006

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