2016
DOI: 10.1093/nar/gkw368
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BetaSCPWeb: side-chain prediction for protein structures using Voronoi diagrams and geometry prioritization

Abstract: Many applications, such as protein design, homology modeling, flexible docking, etc. require the prediction of a protein's optimal side-chain conformations from just its amino acid sequence and backbone structure. Side-chain prediction (SCP) is an NP-hard energy minimization problem. Here, we present BetaSCPWeb which efficiently computes a conformation close to optimal using a geometry-prioritization method based on the Voronoi diagram of spherical atoms. Its outputs are visual, textual and PDB file format. Th… Show more

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Cited by 35 publications
(19 citation statements)
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“…First, cocrystallized conformation of L 90–97 , L 89–98 , and L 88–99 was stripped from their complex crystal structure with TβRII, and then, their two ends residues were virtually mutated to cysteine as two “anchors” to create a disulfide bond bridging them. The virtual mutagenesis was performed with the Voronoi diagram‐based BetaSCPWeb approach, and then, a disulfide bond was manually modeled between the mutant cysteine residues to cyclize the three peptides. Next, the resulting cyclic peptides were separately subjected to 50‐ns MD simulations to relax the artificial system.…”
Section: Resultsmentioning
confidence: 99%
“…First, cocrystallized conformation of L 90–97 , L 89–98 , and L 88–99 was stripped from their complex crystal structure with TβRII, and then, their two ends residues were virtually mutated to cysteine as two “anchors” to create a disulfide bond bridging them. The virtual mutagenesis was performed with the Voronoi diagram‐based BetaSCPWeb approach, and then, a disulfide bond was manually modeled between the mutant cysteine residues to cyclize the three peptides. Next, the resulting cyclic peptides were separately subjected to 50‐ns MD simulations to relax the artificial system.…”
Section: Resultsmentioning
confidence: 99%
“…The crystal complex structures of EGFR T790M/V948R kinase domain with four allosteric inhibitors EAI001, EAI045, JBJ-04-125-02 and DDC4002 have been solved by X-ray crystallography and were retrieved from the protein data bank (PDB) database [27] : 5D41, 6P1L, 6DUK and 6P1D, respectively. Here, the two mutant residues Met790 and Arg948 in the complex kinase domain can be computationally mutated inversely to their wild-type counterpart residues Thr790 and Val948 using the BetaSCPWeb method, [28] during which the effect of protein context on the mutated residues was considered. [29,30] Molecular docking calculations were performed with the AutoDock Vina program [31] to predict the binding modes of the other five allosteric inhibitors (JBJ-02-112-05, JBJ-07-149, F I G U R E 7 Chemical structures of 9 EGFR allosteric inhibitors.…”
Section: Complex Modelingmentioning
confidence: 99%
“…Instead, virtual residue mutagenesis (VRM) and statistical modeling (Zhou et al 2013ab) were carried out to computationally mutate homologous protein templates to the three-dimensional structures of mouse kinases (except p38α as well as Erk2 and Jnk1). Here, the VRM was performed using BetaSCPWeb server (Ryu et al 2016).…”
Section: Conventional Mouse Mapk Kinasesmentioning
confidence: 99%