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Author, Editor(s)
Author(s):
Hartmann, Christoph
Antes, Iris
Lengauer, Thomas		dblp
dblp
dblp

BibTeX cite key*:

Hartmann2009

Title

Title*:

Docking and scoring with alternative side-chain conformations

Journal

Journal Title*:

Proteins: Structure, Function, and Bioinformatics
Journal's URL:


Download URL
for the article:

http://dx.doi.org/10.1002/prot.22189
Language:

English

Publisher

Publisher's
Name:

Wiley-Liss
Publisher's URL:


Publisher's
Address:

Chichester
ISSN:

0887-3585

Vol, No, pp, Date

Volume*:

74
Number:

3

Publishing Date:

February 2009

Pages*:

712-726
Number of
VG Pages:

15

Page Start:

712
Page End:

726

Sequence Number:


DOI:

10.1002/prot.22189

Note, Abstract, ©

Note:


(LaTeX) Abstract:

We describe a scoring and modeling procedure for docking ligands into protein models that have either modeled or flexible side-chain conformations. Our methodical contribution comprises a procedure for generating new potentials of mean force for the ROTA scoring function which we have introduced previously for optimizing side-chain conformations with the tool IRECS. The ROTA potentials are specially trained to tolerate small-scale positional errors of atoms that are characteristic of (i) side-chain conformations that are modeled using a sparse rotamer library and (ii) ligand conformations that are generated using a docking program. We generated both rigid and flexible protein models with our side-chain prediction tool IRECS and docked ligands to proteins using the scoring function ROTA and the docking programs FlexX (for rigid side chains) and FlexE (for flexible side chains). We validated our approach on the forty screening targets of the DUD database. The validation shows that the ROTA potentials are especially well suited for estimating the binding affinity of ligands to proteins. The results also show that our procedure can compensate for the performance decrease in screening that occurs when using protein models with side chains modeled with a rotamer library instead of using X-ray structures. The average runtime per ligand of our method is 168 seconds on an Opteron V20z, which is fast enough to allow virtual screening of compound libraries for drug candidates.

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Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
Computational Biology and Applied Algorithmics
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BibTeX Entry:

@ARTICLE{Hartmann2009,
AUTHOR = {Hartmann, Christoph and Antes, Iris and Lengauer, Thomas},
 TITLE = {Docking and scoring with alternative side-chain conformations},
 JOURNAL = {Proteins: Structure, Function, and Bioinformatics},
 PUBLISHER = {Wiley-Liss},
 YEAR = {2009},
 NUMBER = {3},
 VOLUME = {74},
 PAGES = {712--726},
 ADDRESS = {Chichester},
 MONTH = {February},
 ISBN = {0887-3585},
 DOI = {10.1002/prot.22189},
}

Entry last modified by Anja Becker, 03/11/2010
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Editor(s)
[Library]		Created
03/09/2009 18:10:33
Revisions
3.
2.
1.
0.
Editor(s)
Anja Becker
Ruth Schneppen-Christmann
Elena Zotenko
Elena Zotenko
Edit Dates
11.03.2010 14:27:20
21.01.2010 14:28:33
03/09/2009 06:13:35 PM
03/09/2009 06:10:33 PM