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newsletter issue 08
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BioSolveIT
The Premier Scientific Solution Provider
commentary on recent docking studies
We have noticed several publications on evaluations of docking software where there was room for improvement in terms of exploiting FlexX's true capacity. Poor performance of a docking program does not always result from intrinsic deficiencies, but rather often enough some little twist in the application might solve the apparent issue. Also, the comparison of different methods is by no means a trivial task. A very good compilation of caveats in the comparison of docking programs was published by Jason Cole and co-workers in 2005 [1]. The authors state, for example, that evaluations of docking software to date have oftentimes neglected the statistical significance when comparing docking programs. In other words, comparison of success rates is difficult unless a measure of statistical significance is given. Another very valid remark the authors make is the importance of revealing all information on how each program is used, and that it "is wrong is to mix different assumptions between different docking programs".

In an evaluation published by Kontoyianni et. al [2], FlexX was used out of the box; for other programs in the test set, a very detailed listing of which parameters were used was given. Docking software, and FlexX is here no exception, requires careful inspection of the active site with subsequent adjustment of the receptor description (which for FlexX is contained in the receptor description file, rdf). Applying the default chemistry settings can certainly have disadvantageous effects on the result of the docking. This has to a lesser extent to do with a deep understanding of the software but rather a good understanding of the physico-chemical properties of the ligand and the binding site. We refer, as an example, to the adjustment of the degrees of freedom with respect to protonation/tautomers of amino acid residues.

Although results produced with FlexX look pretty encouraging in a publication by Chen et. al. [3], we noticed that the version of FlexX used (1.10.) was almost five years old at the time the paper was published. Even if one assumes a two year delay from the time of data generation until publication, the evaluation is still performed with software that was significantly older than its competitors.
To get the best out of FlexX, we encourage you to monitor the RSS feeds of our main and download web pages to automatically be informed about updates!
Another very important issue to be aware of is the definition of the binding site: For example, "applying a 10Å cut-off distance from the reference ligand". A common misperception is that the binding site is created from a single sphere around the reference ligand's center of mass. In fact, FlexX computes a 10Å sphere around each atom of the reference ligand, resulting in a larger binding site description than using a single sphere. Obviously, enlarging the search space will result in statistically larger RMSD values.
The proper definition of the binding site is just one of many critical parameters for the docking procedure.

Here is a short selection of further suggestions to consider in case you encounter problems with your FlexX docking:
if you encounter then you could try analysis with comments, flags, parameters for remedy
no or clashing solutions ANALYZE/SCORE ref Change
MAX_OVERLAP_VOL or
SOLUTIONS_PER_IT or
LIGCLASH_HYDRO
base placement failure PLACEBAS, LISTRMS or LISTSOL Use MAPREF
placements not buried enough/ outside active site DOCKING/MDRAW —>
show all in FlexV
Use Release 2; Gaussian buriedness filters
bad solutions LISTRMS or LISTSOL /
FlexV
Check /Adjust rdf /amino acid template settings
badly docked large molecules DOCKING/MDRAW —>
show all in FlexV
Constrain amide bonds to planarity
(see next newsletter)

Certainly, there are many more options to adjust in FlexX to better suit your needs. However, the program is so versatile so that we cannot go into all the details here. Then again: you can learn about all these things during our next FlexX docking workshop! Register, the next will be in September!

[1] J Cole, Comparing Protein-Ligand Docking Programs is Difficult Proteins 60, 325-332 (2005) [2] M Kontoyianni, Evaluation of Docking Performance: Comparative data on Docking Algorithms J. Med. Chem. 47, 558-565 (2004) [3] H Chen, On Evaluating Molecular-Docking Methods for Pose Prediction and Enrichment Factors J. Chem. Inf. Model. 46, 401-415 (2006)

Last modified Friday, 03. Feb 2012 19:40 CET by WebMaster