2004
DOI: 10.1093/bioinformatics/btg371
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ClusPro: an automated docking and discrimination method for the prediction of protein complexes

Abstract: The fully automated docking and discrimination server ClusPro can be found at http://structure.bu.edu

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Cited by 814 publications
(708 citation statements)
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References 30 publications
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“…The CAP-Gly/MT interface contacts determined by MAS NMR are consistent with those predicted by us using molecular docking in ClusPro (41). We used the recent cryo-EM structure of MTs (12) and our MAS NMR structure of CAP-Gly bound to MTs.…”
Section: Resultssupporting
confidence: 63%
“…The CAP-Gly/MT interface contacts determined by MAS NMR are consistent with those predicted by us using molecular docking in ClusPro (41). We used the recent cryo-EM structure of MTs (12) and our MAS NMR structure of CAP-Gly bound to MTs.…”
Section: Resultssupporting
confidence: 63%
“…FlxR is in green; NrdI is in cyan with the 70s loop and ␣1* in blue, and the FMN (red) and FAD (magenta) cofactors are shown as sticks. The model was generated using ClusPro (66). B, electrostatic surface potential diagram of FlxR near the modeled interface with NrdI is shown contoured at Ϫ15 k B T (red) and ϩ15 kBT (blue).…”
Section: Discussionmentioning
confidence: 99%
“…SOS DH-PH-cat (molecule B in Protein Data Bank entry 1XD4) and SOS Histone (molecule E in PDB entry 1Q9C) were docked by using the ClusPro docking server (18,19) with the DOT algorithm [without electrostatics (20)] and the present default parameters. We followed the recommended default procedure in which 20,000 models were retained after initial docking and ranked based on desolvation energies and electrostatics.…”
Section: Methodsmentioning
confidence: 99%
“…We followed the recommended default procedure in which 20,000 models were retained after initial docking and ranked based on desolvation energies and electrostatics. The top 2,000 solutions were then clustered, and the clusters were ranked by using the ClusPro algorithm (19). In this procedure, the rank itself is the only metric provided for the quality of a solution because the clustering procedure removes a direct connection between a model and a scoring energy function.…”
Section: Methodsmentioning
confidence: 99%