Literature DB >> 19965178

Trypsin-ligand binding free energy calculation with AMOEBA.

Yue Shi1, Dian Jiao, Michael J Schnieders, Pengyu Ren.   

Abstract

The binding free energies of several benzamidine -like inhibitors to trypsin were examined using a polarizable molecular mechanics potential. All the computed binding free energies are in good agreement with the experimental data. From free energy decomposition, electrostatic interaction was indicated to be the driving force for the binding. MD simulations show that the ligands form hydrogen bonds with trypsin and water molecules nearby in a competitive fashion. While the binding free energy is independent of the ligand dipole moment, it shows a strong correlation with the ligand molecular polarizability.

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Year:  2009        PMID: 19965178      PMCID: PMC2819397          DOI: 10.1109/IEMBS.2009.5335108

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  15 in total

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Journal:  Proteins       Date:  1999-12-01

Review 2.  Force fields for protein simulations.

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Review 4.  The many roles of computation in drug discovery.

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Review 5.  Calculation of protein-ligand binding affinities.

Authors:  Michael K Gilson; Huan-Xiang Zhou
Journal:  Annu Rev Biophys Biomol Struct       Date:  2007

6.  Calculation of protein-ligand binding free energy by using a polarizable potential.

Authors:  Dian Jiao; Pavel A Golubkov; Thomas A Darden; Pengyu Ren
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-21       Impact factor: 11.205

Review 7.  Computational approaches to molecular recognition.

Authors:  M L Lamb; W L Jorgensen
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8.  Thermodynamic analysis of binding of p-substituted benzamidines to trypsin.

Authors:  R Talhout; J B Engberts
Journal:  Eur J Biochem       Date:  2001-03

9.  A novel serine protease inhibition motif involving a multi-centered short hydrogen bonding network at the active site.

Authors:  B A Katz; K Elrod; C Luong; M J Rice; R L Mackman; P A Sprengeler; J Spencer; J Hataye; J Janc; J Link; J Litvak; R Rai; K Rice; S Sideris; E Verner; W Young
Journal:  J Mol Biol       Date:  2001-04-13       Impact factor: 5.469

10.  Episelection: novel Ki approximately nanomolar inhibitors of serine proteases selected by binding or chemistry on an enzyme surface.

Authors:  B A Katz; J Finer-Moore; R Mortezaei; D H Rich; R M Stroud
Journal:  Biochemistry       Date:  1995-07-04       Impact factor: 3.162

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  8 in total

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Journal:  J Comput Chem       Date:  2010-10-05       Impact factor: 3.376

2.  Computational fragment-based screening using RosettaLigand: the SAMPL3 challenge.

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Review 3.  Force field development phase II: Relaxation of physics-based criteria… or inclusion of more rigorous physics into the representation of molecular energetics.

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4.  Probing the effect of conformational constraint on phosphorylated ligand binding to an SH2 domain using polarizable force field simulations.

Authors:  Yue Shi; Crystal Z Zhu; Stephen F Martin; Pengyu Ren
Journal:  J Phys Chem B       Date:  2012-01-31       Impact factor: 2.991

5.  Automation of AMOEBA polarizable force field parameterization for small molecules.

Authors:  Johnny C Wu; Gaurav Chattree; Pengyu Ren
Journal:  Theor Chem Acc       Date:  2012-02-26       Impact factor: 1.702

6.  Force Fields for Small Molecules.

Authors:  Fang-Yu Lin; Alexander D MacKerell
Journal:  Methods Mol Biol       Date:  2019

7.  Current status of the AMOEBA polarizable force field.

Authors:  Jay W Ponder; Chuanjie Wu; Pengyu Ren; Vijay S Pande; John D Chodera; Michael J Schnieders; Imran Haque; David L Mobley; Daniel S Lambrecht; Robert A DiStasio; Martin Head-Gordon; Gary N I Clark; Margaret E Johnson; Teresa Head-Gordon
Journal:  J Phys Chem B       Date:  2010-03-04       Impact factor: 2.991

8.  Accurate Biomolecular Simulations Account for Electronic Polarization.

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Journal:  Front Mol Biosci       Date:  2019-12-04
  8 in total

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