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Estimation and filtering of potential protein--protein docking positions

TitleEstimation and filtering of potential protein--protein docking positions
Publication TypeJournal Article
Year of Publication1998
AuthorsAckermann, F., G. Herrmann, S. Posch, and G. Sagerer
Journal TitleBioinformatics
Volume14
Pages196--205
Type of Articlearticle
Abstract Motivation: Software systems predicting automatically whether and how two proteins may interact are highly desirable, both, for understanding biological processes and for rational design of new proteins. As a part of a future complete solution to this problem a bundle of programs is presented designed (1) to estimate initial docking positions for a given pair of docking candidates, (2) to adjust them, and (3) to filter them, thus preparing more detailed computations of free energies. Results: The system is evaluated on a test set of 51 cocrystallized complexes aiming at redocking the subunits. It works completely automatically and the evaluation is performed using one single set of parameters for all complexes in the test set. The number of solutions is fixed to 50 positions with a median CPU-time of 26min. For 30 complexes these contain a near-correct solution with RMSD <= 5.0 Angstrom, which is ranked first in five cases. For all complexes the best solution is scored on rank 16 as the worst case, and has a median RMSD of 4.3 Angstrom. Alternatively to this initial estimation of docking positions a global sampling of rotations was tested. Whereas this yields top-ranked solutions with RMSD <= 3.0 Angstrom for all 51 complexes the median CPU-time increases to 11h. This shows, that this blind sampling is not feasible for most applications. Availability: The system and its components are available on request from the authors. Contact: E-mail addresses: friedric@techfak.uni-bielefeld or posch@techfak.uni-bielefeld.de.
URLfiles/papers/Ackermann1998-EAF.ps.gz
Citation KeyAckermann1998-EA

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