scholarly journals Structure prediction of Bestrophin for the induced - fit docking of anthocyanins

2012 ◽  
Vol 8 (16) ◽  
pp. 742-748 ◽  
Author(s):  
Sathyan Sri Lavvanya Priya ◽  
Ponnuswamy Renuka Devi ◽  
Palanisami Eganathan ◽  
Nishith Saurav Topno
Author(s):  
Edward Miller ◽  
Robert Murphy ◽  
Daniel Sindhikara ◽  
Ken Borrelli ◽  
Matthew Grisewood ◽  
...  

We present a reliable and accurate solution to the induced fit docking problem for protein-ligand binding by combining ligand-based pharmacophore docking (Phase), rigid receptor docking (Glide), and protein structure prediction (Prime) with explicit solvent molecular dynamics simulations. We provide an in-depth description of our novel methodology and present results for 41 targets consisting of 415 cross-docking cases divided amongst a training and test set. For both the training and test-set, we compute binding modes with a ligand-heavy atom RMSD to within 2.5 Å or better in over 90% of cross-docking cases compared to less than 70% of cross-docking cases using our previously published induced-fit docking algorithm and less than 41% using rigid receptor docking. Applications of the predicted ligand-receptor structure in free energy perturbation calculations is demonstrated for both public data and in active drug discovery projects, both retrospectively and prospectively.


2020 ◽  
Author(s):  
Edward Miller ◽  
Robert Murphy ◽  
Daniel Sindhikara ◽  
Ken Borrelli ◽  
Matthew Grisewood ◽  
...  

We present a reliable and accurate solution to the induced fit docking problem for protein-ligand binding by combining ligand-based pharmacophore docking (Phase), rigid receptor docking (Glide), and protein structure prediction (Prime) with explicit solvent molecular dynamics simulations. We provide an in-depth description of our novel methodology and present results for 41 targets consisting of 415 cross-docking cases divided amongst a training and test set. For both the training and test-set, we compute binding modes with a ligand-heavy atom RMSD to within 2.5 Å or better in over 90% of cross-docking cases compared to less than 70% of cross-docking cases using our previously published induced-fit docking algorithm and less than 41% using rigid receptor docking. Applications of the predicted ligand-receptor structure in free energy perturbation calculations is demonstrated for both public data and in active drug discovery projects, both retrospectively and prospectively.


2020 ◽  
Author(s):  
Edward Miller ◽  
Robert Murphy ◽  
Daniel Sindhikara ◽  
Ken Borrelli ◽  
Matthew Grisewood ◽  
...  

We present a reliable and accurate solution to the induced fit docking problem for protein-ligand binding by combining ligand-based pharmacophore docking (Phase), rigid receptor docking (Glide), and protein structure prediction (Prime) with explicit solvent molecular dynamics simulations. We provide an in-depth description of our novel methodology and present results for 41 targets consisting of 415 cross-docking cases divided amongst a training and test set. For both the training and test-set, we compute binding modes with a ligand-heavy atom RMSD to within 2.5 Å or better in over 90% of cross-docking cases compared to less than 70% of cross-docking cases using our previously published induced-fit docking algorithm and less than 41% using rigid receptor docking. Applications of the predicted ligand-receptor structure in free energy perturbation calculations is demonstrated for both public data and in active drug discovery projects, both retrospectively and prospectively.


2015 ◽  
Vol 109 (12) ◽  
pp. 2271 ◽  
Author(s):  
Sayalee Chavan ◽  
Rajkumar Hirwani ◽  
M. Sarwar Alam ◽  
Nikhil Vidyasagar ◽  
Radhacharan Dash ◽  
...  

2013 ◽  
Vol 10 (3) ◽  
pp. e411-e418 ◽  
Author(s):  
Mengang Xu ◽  
Markus A. Lill

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