title: VORFFIP-driven dock: V-D2OCK, a fast and accurate protein docking strategy.
abstract: The experimental determination of the structure of protein complexes cannot keep pace with the generation of interactomic data, hence resulting in an ever-expanding gap. As the structural details of protein complexes are central to a full understanding of the function and dynamics of the cell machinery, alternative strategies are needed to circumvent the bottleneck in structure determination. Computational protein docking is a valid and valuable approach to model the structure of protein complexes. In this work, we describe a novel computational strategy to predict the structure of protein complexes based on data-driven docking: VORFFIP-driven dock (V-D2OCK). This new approach makes use of our newly described method to predict functional sites in protein structures, VORFFIP, to define the region to be sampled during docking and structural clustering to reduce the number of models to be examined by users. V-D2OCK has been benchmarked using a validated and diverse set of protein complexes and compared to a state-of-art docking method. The speed and accuracy compared to contemporary tools justifies the potential use of VD2OCK for high-throughput, genome-wide, protein docking. Finally, we have developed a web interface that allows users to browser and visualize V-D2OCK predictions from the convenience of their web-browsers.
authors.affiliation: Leeds Institute of Molecular Medicine, School of Medicine, University of Leeds, Leeds, LS9 7TF, United Kingdom.
authors.forename: Joan
authors.initials: J
authors.lastname: Segura
authors.affiliation: Structural Bioinformatics Lab (GRIB-IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain.
authors.forename: Manuel Alejandro
authors.initials: MA
authors.lastname: Marín-López
authors.affiliation: Leeds Institute of Molecular Medicine, School of Medicine, University of Leeds, Leeds, LS9 7TF, United Kingdom.
authors.forename: Pamela F
authors.initials: PF
authors.lastname: Jones
authors.affiliation: Structural Bioinformatics Lab (GRIB-IMIM), Department of Experimental and Health Sciences, Universitat Pompeu Fabra, 08003 Barcelona, Catalonia, Spain.
authors.forename: Baldo
authors.initials: B
authors.lastname: Oliva
authors.affiliation: Leeds Institute of Molecular Medicine, School of Medicine, University of Leeds, Leeds, LS9 7TF, United Kingdom.
authors.forename: Narcis
authors.initials: N
authors.lastname: Fernandez-Fuentes
mesh_terms: D001665:Binding Sites; D006801:Humans; D008958:Models, Molecular; D062105:Molecular Docking Simulation / Q000379:methods*; D011485:Protein Binding; D011487:Protein Conformation; D055503:Protein Multimerization; D011506:Proteins / Q000737:chemistry* / Q000378:metabolism*; D014584:User-Computer Interface; D064878:Web Browser
chemical_list: D011506:Proteins