Literature DB >> 15767587

Free energies of ligand binding for structurally diverse compounds.

Chris Oostenbrink1, Wilfred F van Gunsteren.   

Abstract

The one-step perturbation approach is an efficient means to calculate many relative free energies from a common reference compound. Combining lessons learned in previous studies, an application of the method is presented that allows for the calculation of relative binding free energies for structurally rather diverse compounds from only a few simulations. Based on the well known statistical-mechanical perturbation formula, the results do not require any empirical parameters, or training sets, only limited knowledge of the binding characteristics of the ligands suffices to design appropriate reference compounds. Depending on the choice of reference compound, relative free energies of binding rigid ligands to the ligand-binding domain of the estrogen receptor can be obtained that show good agreement with the experimental values. The approach presented here can easily be applied to many rigid ligands, and it should be relatively easy to extend the method to account for ligand flexibility. The free-energy calculations can be straightforwardly parallelized, allowing for an efficient means to understand and predict relative binding free energies.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 15767587      PMCID: PMC1100734          DOI: 10.1073/pnas.0407404102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  25 in total

1.  Free energies of binding of polychlorinated biphenyls to the estrogen receptor from a single simulation.

Authors:  Chris Oostenbrink; Wilfred F van Gunsteren
Journal:  Proteins       Date:  2004-02-01

2.  Single-step perturbations to calculate free energy differences from unphysical reference states: limits on size, flexibility, and character.

Authors:  Chris Oostenbrink; Wilfred F van Gunsteren
Journal:  J Comput Chem       Date:  2003-11-15       Impact factor: 3.376

3.  Molecular basis of agonism and antagonism in the oestrogen receptor.

Authors:  A M Brzozowski; A C Pike; Z Dauter; R E Hubbard; T Bonn; O Engström; L Ohman; G L Greene; J A Gustafsson; M Carlquist
Journal:  Nature       Date:  1997-10-16       Impact factor: 49.962

4.  The estrogen receptor relative binding affinities of 188 natural and xenochemicals: structural diversity of ligands.

Authors:  R M Blair; H Fang; W S Branham; B S Hass; S L Dial; C L Moland; W Tong; L Shi; R Perkins; D M Sheehan
Journal:  Toxicol Sci       Date:  2000-03       Impact factor: 4.849

5.  Theoretical calculation of relative binding affinity in host-guest systems.

Authors:  T P Lybrand; J A McCammon; G Wipff
Journal:  Proc Natl Acad Sci U S A       Date:  1986-02       Impact factor: 11.205

6.  A new method for predicting binding affinity in computer-aided drug design.

Authors:  J Aqvist; C Medina; J E Samuelsson
Journal:  Protein Eng       Date:  1994-03

7.  Ligand-based identification of environmental estrogens.

Authors:  C L Waller; T I Oprea; K Chae; H K Park; K S Korach; S C Laws; T E Wiese; W R Kelce; L E Gray
Journal:  Chem Res Toxicol       Date:  1996-12       Impact factor: 3.739

8.  The structural basis of estrogen receptor/coactivator recognition and the antagonism of this interaction by tamoxifen.

Authors:  A K Shiau; D Barstad; P M Loria; L Cheng; P J Kushner; D A Agard; G L Greene
Journal:  Cell       Date:  1998-12-23       Impact factor: 41.582

9.  Prediction of ligand binding affinity and orientation of xenoestrogens to the estrogen receptor by molecular dynamics simulations and the linear interaction energy method.

Authors:  Marola M H van Lipzig; Antonius M ter Laak; Aldo Jongejan; Nico P E Vermeulen; Mirjam Wamelink; Daan Geerke; John H N Meerman
Journal:  J Med Chem       Date:  2004-02-12       Impact factor: 7.446

10.  Identification of a minimal subset of receptor conformations for improved multiple conformation docking and two-step scoring.

Authors:  Sukjoon Yoon; William J Welsh
Journal:  J Chem Inf Comput Sci       Date:  2004 Jan-Feb
View more
  34 in total

Review 1.  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

2.  Structural modeling of high-affinity thyroid receptor-ligand complexes.

Authors:  Alexandre Suman de Araujo; Leandro Martínez; Ricardo de Paula Nicoluci; Munir S Skaf; Igor Polikarpov
Journal:  Eur Biophys J       Date:  2010-05-30       Impact factor: 1.733

3.  Molecular evolution of affinity and flexibility in the immune system.

Authors:  Ian F Thorpe; Charles L Brooks
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-08       Impact factor: 11.205

4.  Estimation of relative binding free energy based on a free energy variational principle for the FKBP-ligand system.

Authors:  Takeshi Ashida; Takeshi Kikuchi
Journal:  J Comput Aided Mol Des       Date:  2013-06-11       Impact factor: 3.686

5.  Estimating binding affinities of the nicotinic receptor for low-efficacy ligands using mixtures of agonists and two-dimensional concentration-response relationships.

Authors:  Yamini Purohit; Claudio Grosman
Journal:  J Gen Physiol       Date:  2006-06       Impact factor: 4.086

6.  Conformational Transitions and Convergence of Absolute Binding Free Energy Calculations.

Authors:  Mauro Lapelosa; Emilio Gallicchio; Ronald M Levy
Journal:  J Chem Theory Comput       Date:  2012-01-10       Impact factor: 6.006

7.  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

8.  Absolute binding free energies for octa-acids and guests in SAMPL5 : Evaluating binding free energies for octa-acid and guest complexes in the SAMPL5 blind challenge.

Authors:  Florentina Tofoleanu; Juyong Lee; Frank C Pickard Iv; Gerhard König; Jing Huang; Minkyung Baek; Chaok Seok; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2016-09-30       Impact factor: 3.686

9.  Using Selectively Applied Accelerated Molecular Dynamics to Enhance Free Energy Calculations.

Authors:  Jeff Wereszczynski; J Andrew McCammon
Journal:  J Chem Theory Comput       Date:  2010-10-13       Impact factor: 6.006

10.  Path-integral method for predicting relative binding affinities of protein-ligand complexes.

Authors:  Chandrika Mulakala; Yiannis N Kaznessis
Journal:  J Am Chem Soc       Date:  2009-04-01       Impact factor: 15.419

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.