Literature DB >> 20167416

Comparison of current docking tools for the simulation of inhibitor binding by the transmembrane domain of the sarco/endoplasmic reticulum calcium ATPase.

Michael Lape1, Christopher Elam, Stefan Paula.   

Abstract

Inhibitors of the transmembrane protein sarco/endoplasmic reticulum calcium ATPase (SERCA) are invaluable tools for the study of the enzyme's physiological functions and they have been recognized as a promising new class of anticancer agents. For the discovery of novel enzyme inhibitors, small molecule docking for virtual screens of large compound libraries has become increasingly important. Since the performance of various docking routines varies considerably, depending on the target and the chemical nature of the ligand, we critically evaluated the performance of four frequently used programs - GOLD, AutoDock, Surflex-Dock, and FRED - for the docking of SERCA inhibitors based on the structures of thapsigargin, di-tert-butylhydroquinone, and cyclopiazonic acid. Evaluation criteria were docking accuracy using crystal structures as references, docking reproducibility, and correlation between docking scores and known bioactivities. The best overall results were obtained by GOLD and FRED. Docking runs with conformationally flexible binding sites produced no significant improvement of the results.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20167416      PMCID: PMC2885586          DOI: 10.1016/j.bpc.2010.01.011

Source DB:  PubMed          Journal:  Biophys Chem        ISSN: 0301-4622            Impact factor:   2.352


  56 in total

Review 1.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

Review 2.  Comparing protein-ligand docking programs is difficult.

Authors:  Jason C Cole; Christopher W Murray; J Willem M Nissink; Richard D Taylor; Robin Taylor
Journal:  Proteins       Date:  2005-08-15

3.  General and targeted statistical potentials for protein-ligand interactions.

Authors:  Wijnand T M Mooij; Marcel L Verdonk
Journal:  Proteins       Date:  2005-11-01

Review 4.  Implications of protein conformational diversity for binding and development of new biological active compounds.

Authors:  A P Valente; C A Miyamoto; F C L Almeida
Journal:  Curr Med Chem       Date:  2006       Impact factor: 4.530

5.  Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes.

Authors:  M D Eldridge; C W Murray; T R Auton; G V Paolini; R P Mee
Journal:  J Comput Aided Mol Des       Date:  1997-09       Impact factor: 3.686

6.  Hammerhead: fast, fully automated docking of flexible ligands to protein binding sites.

Authors:  W Welch; J Ruppert; A N Jain
Journal:  Chem Biol       Date:  1996-06

7.  Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.

Authors:  G Jones; P Willett; R C Glen
Journal:  J Mol Biol       Date:  1995-01-06       Impact factor: 5.469

8.  Thapsigargine and thapsigargicine, two new histamine liberators from Thapsia garganica L.

Authors:  U Rasmussen; S Brøogger Christensen; F Sandberg
Journal:  Acta Pharm Suec       Date:  1978

9.  Applying linear interaction energy method for rational design of noncompetitive allosteric inhibitors of the sarco- and endoplasmic reticulum calcium-ATPase.

Authors:  Pratap Singh; Anastasiah M Mhaka; Soren B Christensen; Jeffrey J Gray; Samuel R Denmeade; John T Isaacs
Journal:  J Med Chem       Date:  2005-04-21       Impact factor: 7.446

10.  Interdomain communication in calcium pump as revealed in the crystal structures with transmembrane inhibitors.

Authors:  Mihoko Takahashi; Youhei Kondou; Chikashi Toyoshima
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-26       Impact factor: 11.205

View more
  12 in total

1.  Fragment Pose Prediction Using Non-equilibrium Candidate Monte Carlo and Molecular Dynamics Simulations.

Authors:  Nathan M Lim; Meghan Osato; Gregory L Warren; David L Mobley
Journal:  J Chem Theory Comput       Date:  2020-03-27       Impact factor: 6.006

2.  Mixed-type inhibition of tyrosinase from Agaricus bisporus by terephthalic acid: computational simulations and kinetics.

Authors:  Shang-Jun Yin; Yue-Xiu Si; Yong-Fu Chen; Guo-Ying Qian; Zhi-Rong Lü; Sangho Oh; Jinhyuk Lee; Sanghyuk Lee; Jun-Mo Yang; Dong-Youn Lee; Yong-Doo Park
Journal:  Protein J       Date:  2011-04       Impact factor: 2.371

3.  Discovery of novel SERCA inhibitors by virtual screening of a large compound library.

Authors:  Christopher Elam; Michael Lape; Joel Deye; Jodie Zultowsky; David T Stanton; Stefan Paula
Journal:  Eur J Med Chem       Date:  2011-02-25       Impact factor: 6.514

4.  Homology modeling of the human 5-HT1A, 5-HT 2A, D1, and D2 receptors: model refinement with molecular dynamics simulations and docking evaluation.

Authors:  Beow Keat Yap; Michael J C Buckle; Stephen W Doughty
Journal:  J Mol Model       Date:  2012-02-22       Impact factor: 1.810

5.  Structural requirements for inhibitory effects of bisphenols on the activity of the sarco/endoplasmic reticulum calcium ATPase.

Authors:  Matthew Woeste; Jeffrey Steller; Emily Hofmann; Taylor Kidd; Rahul Patel; Kevin Connolly; Manori Jayasinghe; Stefan Paula
Journal:  Bioorg Med Chem       Date:  2013-04-15       Impact factor: 3.641

6.  Homology modeling of dopamine D2 and D3 receptors: molecular dynamics refinement and docking evaluation.

Authors:  Chiara Bianca Maria Platania; Salvatore Salomone; Gian Marco Leggio; Filippo Drago; Claudio Bucolo
Journal:  PLoS One       Date:  2012-09-06       Impact factor: 3.240

7.  Calculating an optimal box size for ligand docking and virtual screening against experimental and predicted binding pockets.

Authors:  Wei P Feinstein; Michal Brylinski
Journal:  J Cheminform       Date:  2015-05-15       Impact factor: 5.514

8.  LigGrep: a tool for filtering docked poses to improve virtual-screening hit rates.

Authors:  Emily J Ha; Cara T Lwin; Jacob D Durrant
Journal:  J Cheminform       Date:  2020-11-11       Impact factor: 5.514

9.  KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking.

Authors:  Aeri Lee; Seungpyo Hong; Dongsup Kim
Journal:  J Cheminform       Date:  2018-04-10       Impact factor: 5.514

Review 10.  Targeting the C-Terminal Domain Small Phosphatase 1.

Authors:  Harikrishna Reddy Rallabandi; Palanivel Ganesan; Young Jun Kim
Journal:  Life (Basel)       Date:  2020-05-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.