Abstract:
:Structure-based drug design (SBDD) has matured within the last two decades as a valuable tool for the optimization of low molecular weight lead compounds to highly potent drugs. The key step in SBDD requires knowledge of the three-dimensional structure of the target-ligand complex, which is usually determined by X-ray crystallography. In the absence of structural information for the complex, SBDD relies on the generation of plausible molecular docking models. However, molecular docking protocols suffer from inaccuracies in the description of the interaction energies between the ligand and the target molecule, and often fail in the prediction of the correct binding mode. In this context, the appropriate selection of the most accurate docking protocol is absolutely relevant for the final molecular docking result, even if addressing this point is absolutely not a trivial task. D3R Grand Challenge 2015 has represented a precious opportunity to test the performance of DockBench, an integrate informatics platform to automatically compare RMDS-based molecular docking performances of different docking/scoring methods. The overall performance resulted in the blind prediction are encouraging in particular for the pose prediction task, in which several complex were predicted with a sufficient accuracy for medicinal chemistry purposes.
journal_name
J Comput Aided Mol Desjournal_title
Journal of computer-aided molecular designauthors
Salmaso V,Sturlese M,Cuzzolin A,Moro Sdoi
10.1007/s10822-016-9966-4subject
Has Abstractpub_date
2016-09-01 00:00:00pages
773-789issue
9eissn
0920-654Xissn
1573-4951pii
10.1007/s10822-016-9966-4journal_volume
30pub_type
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