5ti7 | pdb_00005ti7

CRYSTAL STRUCTURE OF THE FIRST BROMODOMAIN OF HUMAN BRD4 IN COMPLEX WITH INHIBITOR 17528462

spinqualitylabelsall models 5ti7, resolution 1.65Å Show:Asymmetric Unit Biological Assembly Drag the structure with the mouse to rotate   Export Animated Image   Print3D Structural highlights 5ti7 is a 1 chain structure with sequence from Human. Full crystallographic information is available from OCA. For a guided tour on the structure components use FirstGlance. Ligands: 7CQ, EDO Related: 5ti2, 5ti3, 5ti4, 5ti5, 5ti6 Gene: BRD4, HUNK1 (HUMAN) Resources: FirstGlance, OCA, PDBe, RCSB, PDBsum, ProSAT Disease [BRD4_HUMAN] Note=A chromosomal aberration involving BRD4 is found in a rare, aggressive, and lethal carcinoma arising in midline organs of young people. Translocation t(15;19)(q14;p13) with NUT which produces a BRD4-NUT fusion protein. Function [BRD4_HUMAN] Plays a role in a process governing chromosomal dynamics during mitosis (By similarity). Publication Abstract from PubMed Computational screening is a method to prioritize small-molecule compounds based on the structural and biochemical attributes built from ligand and target information. Previously, we have developed a scalable virtual screening workflow to identify novel multitarget kinase/bromodomain inhibitors. In the current study, we identified several novel N-[3-(2-oxo-pyrrolidinyl)phenyl]-benzenesulfonamide derivatives that scored highly in our ensemble docking protocol. We quantified the binding affinity of these compounds for BRD4(BD1) biochemically and generated cocrystal structures, which were deposited in the Protein Data Bank. As the docking poses obtained in the virtual screening pipeline did not align with the experimental cocrystal structures, we evaluated the predictions of their precise binding modes by performing molecular dynamics (MD) simulations. The MD simulations closely reproduced the experimentally observed protein-ligand cocrystal binding conformations and interactions for all compounds. These results suggest a computational workflow to generate experimental-quality protein-ligand binding models, overcoming limitations of docking results due to receptor flexibility and incomplete sampling, as a useful starting point for the structure-based lead optimization of novel BRD4(BD1) inhibitors. Identification of a Novel Class of BRD4 Inhibitors by Computational Screening and Binding Simulations.,Allen BK, Mehta S, Ember SWJ, Zhu JY, Schonbrunn E, Ayad NG, Schurer SC ACS Omega. 2017 Aug 31;2(8):4760-4771. doi: 10.1021/acsomega.7b00553. Epub 2017, Aug 21. PMID:28884163 From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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