Estimation and filtering of potential protein-protein docking positions

Ackermann F, Herrmann G, Posch S, Sagerer G (1998)
Bioinformatics 14(2): 196-205.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Ackermann, Friedrich; Herrmann, Grit; Posch, Stefan; Sagerer, GerhardUniBi
Abstract / Bemerkung
Motivation: Software systems predicting automatically whether and how two proteins may interact are highly desirable, both for under-standing biological processes and for the rational design of new proteins. As a part of a future complete solution to this problem, a bundle of programs is presented designed (i) to estimate initial docking positions for a given pail of docking candidates, (ii) to adjust them, and (iii) to filter, them, thus preparing mole detailed computations of free energies. Results: The system is evaluated on a test set of 51 co-crystallized 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 rest set. The number of solutions is fixed to 50 positions with a median CPU time of 26 min. For 30 complexes, these contain a near-correct Solution with root mean square deviation (RMSD) less than or equal to 5.0 Angstrom, which is ranked first in five cases. For all complexes, the best solution is scored on rank 16 as the wet-st case, and has a median RMSD of 4.3 Angstrom.. Alter-natively to this initial estimation of docking positions, a global sampling of rotations was tested. Whereas this yields top-ranked solutions with RMSD less than or equal to 3.0 Angstrom for all 51 complexes, the median CPU time increases to 11 h. This shows that this blind sampling is not feasible for most applications.
Erscheinungsjahr
1998
Zeitschriftentitel
Bioinformatics
Band
14
Ausgabe
2
Seite(n)
196-205
ISSN
1367-4803
eISSN
1460-2059
Page URI
https://pub.uni-bielefeld.de/record/1625406

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Ackermann F, Herrmann G, Posch S, Sagerer G. Estimation and filtering of potential protein-protein docking positions. Bioinformatics. 1998;14(2):196-205.
Ackermann, F., Herrmann, G., Posch, S., & Sagerer, G. (1998). Estimation and filtering of potential protein-protein docking positions. Bioinformatics, 14(2), 196-205. https://doi.org/10.1093/bioinformatics/14.2.196
Ackermann, Friedrich, Herrmann, Grit, Posch, Stefan, and Sagerer, Gerhard. 1998. “Estimation and filtering of potential protein-protein docking positions”. Bioinformatics 14 (2): 196-205.
Ackermann, F., Herrmann, G., Posch, S., and Sagerer, G. (1998). Estimation and filtering of potential protein-protein docking positions. Bioinformatics 14, 196-205.
Ackermann, F., et al., 1998. Estimation and filtering of potential protein-protein docking positions. Bioinformatics, 14(2), p 196-205.
F. Ackermann, et al., “Estimation and filtering of potential protein-protein docking positions”, Bioinformatics, vol. 14, 1998, pp. 196-205.
Ackermann, F., Herrmann, G., Posch, S., Sagerer, G.: Estimation and filtering of potential protein-protein docking positions. Bioinformatics. 14, 196-205 (1998).
Ackermann, Friedrich, Herrmann, Grit, Posch, Stefan, and Sagerer, Gerhard. “Estimation and filtering of potential protein-protein docking positions”. Bioinformatics 14.2 (1998): 196-205.

12 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

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Heuser P, Schomburg D., BMC Bioinformatics 7(), 2006
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PMID: 15162493
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Heifetz A, Katchalski-Katzir E, Eisenstein M., Protein Sci 11(3), 2002
PMID: 11847280
Automated docking of ligands to antibodies: methods and applications.
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PMID: 10694451
Protein docking using spherical polar Fourier correlations.
Ritchie DW, Kemp GJ., Proteins 39(2), 2000
PMID: 10737939
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