dc.contributor.author |
Machado, Karina dos Santos |
|
dc.contributor.author |
Schroeder, Evelyn Koeche |
|
dc.contributor.author |
Ruiz, Duncan Dubugras Alcoba |
|
dc.contributor.author |
Cohen, Elisangela Machado Leal |
|
dc.contributor.author |
Souza, Osmar Norberto de |
|
dc.date.accessioned |
2015-05-28T16:42:37Z |
|
dc.date.available |
2015-05-28T16:42:37Z |
|
dc.date.issued |
2011 |
|
dc.identifier.citation |
MACHADO, Karina dos Santos et al. FReDoWS: a method to automate molecular docking simulations with explicit receptor flexibility and snapshots selection. BMC Genomics, v. 12, supl. 4, p. 1-13, 2011. Disponível em: <http://www.biomedcentral.com/1471-2164/12/S4/S6>. Acesso em: 15 maio 2015. |
pt_BR |
dc.identifier.issn |
1471-2164 |
|
dc.identifier.uri |
http://repositorio.furg.br/handle/1/4921 |
|
dc.description.abstract |
Background: In silico molecular docking is an essential step in modern drug discovery when driven by a well
defined macromolecular target. Hence, the process is called structure-based or rational drug design (RDD). In the
docking step of RDD the macromolecule or receptor is usually considered a rigid body. However, we know from
biology that macromolecules such as enzymes and membrane receptors are inherently flexible. Accounting for this
flexibility in molecular docking experiments is not trivial. One possibility, which we call a fully-flexible receptor
model, is to use a molecular dynamics simulation trajectory of the receptor to simulate its explicit flexibility. To
benefit from this concept, which has been known since 2000, it is essential to develop and improve new tools that
enable molecular docking simulations of fully-flexible receptor models.
Results: We have developed a Flexible-Receptor Docking Workflow System (FReDoWS) to automate molecular
docking simulations using a fully-flexible receptor model. In addition, it includes a snapshot selection feature to
facilitate acceleration the virtual screening of ligands for well defined disease targets. FReDoWS usefulness is
demonstrated by investigating the docking of four different ligands to flexible models of Mycobacterium
tuberculosis’ wild type InhA enzyme and mutants I21V and I16T. We find that all four ligands bind effectively to this
receptor as expected from the literature on similar, but wet experiments.
Conclusions: A work that would usually need the manual execution of many computer programs, and the
manipulation of thousands of files, was efficiently and automatically performed by FReDoWS. Its friendly interface
allows the user to change the docking and execution parameters. Besides, the snapshot selection feature allowed
the acceleration of docking simulations. We expect FReDoWS to help us explore more of the role flexibility plays in
receptor-ligand interactions. FReDoWS can be made available upon request to the authors |
pt_BR |
dc.language.iso |
eng |
pt_BR |
dc.rights |
open access |
pt_BR |
dc.title |
FReDoWS: a method to automate molecular docking simulations with explicit receptor flexibility and snapshots selection |
pt_BR |
dc.type |
article |
pt_BR |
dc.identifier.doi |
10.1186/1471-2164-12-S4-S6 |
pt_BR |