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Assessment of blind predictions of protein–protein interactions: Current status of docking methods by Raúl Méndez; Raphaël Leplae; Leonardo De Maria; Shoshana J. Wodak is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Assessment of blind predictions of protein–protein interactions: Current status of docking methods about?
## Abstract The current status of docking procedures for predicting protein–protein interactions starting from their three‐dimensional structure is assessed from a first major evaluation of blind predictions. This evaluation was performed as part of a communitywide experiment on Critical Assessment of PRedicted Interactions (CAPRI). Seven newly determined structures of protein–protein complexes were available as targets for this experiment. These were the complexes between a kinase and its protein substrate, between a T‐cell receptor β‐chain and a superantigen, and five antigen‐antibody complexes. For each target, the predictors were given the experimental structures of the free components, or of one free and one bound component in a random orientation. The structure of the complex was revealed only at the time of the evaluation. A total of 465 predictions submitted by 19 groups were evaluated. These groups used a wide range of algorithms and scoring functions, some of which were completely novel. The quality of the predicted interactions was evaluated by comparing residue–residue contacts and interface residues to those in the X‐ray structures and by analyzing the fit of the ligan
Who reads Assessment of blind predictions of protein–protein interactions: Current status of docking methods?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Raúl Méndez; Raphaël Leplae; Leonardo De Maria; Shoshana J. Wodak
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); Wiley-Liss Inc; Wiley (ISSN 0887-3585)
- Published
- 2003
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)
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