The ligand/protein binding interaction is typically investigated by docking and molecular dynamics (MD) simulations. In particular, docking-based virtual screening (VS) is used to select the best ligands from database of thousands of compounds, while MD calculations assess the energy stability of the ligand/protein binding complexes. Considering the broad use of these techniques, it is of great demand to have one single software that allows a combined and fast analysis of VS and MD results. With this in mind, we have developed the Drug Discovery Tool (DDT) that is an intuitive graphics user interface able to provide structural data and physico-chemical information on the ligand/protein interaction.

DDT - Drug Discovery Tool: a fast and intuitive graphics user interface for Docking and Molecular Dynamics analysis / Aureli, Simone; Di Marino, Daniele; Raniolo, Stefano; Limongelli, Vittorio. - In: BIOINFORMATICS. - ISSN 1367-4803. - (2019). [10.1093/bioinformatics/btz543]

DDT - Drug Discovery Tool: a fast and intuitive graphics user interface for Docking and Molecular Dynamics analysis

Limongelli, Vittorio
2019

Abstract

The ligand/protein binding interaction is typically investigated by docking and molecular dynamics (MD) simulations. In particular, docking-based virtual screening (VS) is used to select the best ligands from database of thousands of compounds, while MD calculations assess the energy stability of the ligand/protein binding complexes. Considering the broad use of these techniques, it is of great demand to have one single software that allows a combined and fast analysis of VS and MD results. With this in mind, we have developed the Drug Discovery Tool (DDT) that is an intuitive graphics user interface able to provide structural data and physico-chemical information on the ligand/protein interaction.
2019
DDT - Drug Discovery Tool: a fast and intuitive graphics user interface for Docking and Molecular Dynamics analysis / Aureli, Simone; Di Marino, Daniele; Raniolo, Stefano; Limongelli, Vittorio. - In: BIOINFORMATICS. - ISSN 1367-4803. - (2019). [10.1093/bioinformatics/btz543]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/776029
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