2020
DOI: 10.1039/d0ra01127d
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Monte Carlo simulations using PELE to identify a protein–protein inhibitor binding site and pose

Abstract: PELE prospectively unveils the binding site and mode of a protein–protein disruptor.

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Cited by 8 publications
(9 citation statements)
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References 48 publications
(50 reference statements)
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“…Consequently, we decided to employ PELE (Protein Energy Landscape Surface), a relatively novel Monte Carlo algorithm, to investigate Cpd22 binding in a computationally affordable manner [ 34 ]. The PELE algorithm has been used successfully to determine the binding mode and location of several enzyme substrates, drugs and protein–protein inhibitors [ 35 , 36 ]. For PELE calculations, seven independent simulations were carried out starting from four different starting ligand positions in order to explore the ILK surface (Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Consequently, we decided to employ PELE (Protein Energy Landscape Surface), a relatively novel Monte Carlo algorithm, to investigate Cpd22 binding in a computationally affordable manner [ 34 ]. The PELE algorithm has been used successfully to determine the binding mode and location of several enzyme substrates, drugs and protein–protein inhibitors [ 35 , 36 ]. For PELE calculations, seven independent simulations were carried out starting from four different starting ligand positions in order to explore the ILK surface (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Protein Energy Landscape Exploration (PELE) is a Monte Carlo technique that includes protein structure prediction, thus allowing the exploration of potential binding sites via several sequential steps: ligand and/or protein perturbation followed by side rotamer sampling and energy minimization [ 34 ]. PELE has been used to find the small molecule binding site in proteins and to provide a dynamic perspective of substrate binding [ 35 , 36 ]. In the case of ILK, in order to determine the Cpd22 binding site, four simulations corresponding to different starting geometries were generated by placing the molecule over the refined ILK-apo surface manually, at a distance of approximately 5 Å, using UCSF Chimera 1.15 [ 52 ].…”
Section: Methodsmentioning
confidence: 99%
“…Protein Energy Exploration (PELE) is a Monte Carlo technique that includes protein structure prediction, thus allowing the exploration of potential binding sites via several sequential steps: ligand and/or protein perturbation followed by side rotamer sampling and energy minimization [33]. PELE has been used to nd the small molecule binding site in proteins and to provide a dynamic perspective of substrate binding [34,35]. In the case of ILK, in order to determine the Cpd22 binding site, four simulations corresponding to different starting geometries were generated by placing the molecule over the re ned ILK-apo surface manually, at a distance of approximately 5 Å, using UCSF Chimera 1.15 [51].…”
Section: Methodsmentioning
confidence: 99%
“…Consequently, we decided to employ PELE (Protein Energy Landscape Surface), a relatively novel Monte Carlo algorithm, to investigate Cpd22 binding in a computationally affordable manner [33]. The PELE algorithm has been used successfully to determine the binding mode and location of several enzyme substrates, drugs and protein-protein inhibitors [34,35]. For PELE calculations, seven independent simulations were carried out starting from four different starting ligand positions in order to explore the ILK surface (Fig.…”
Section: Protein Energy Landscape Exploration Calculations Point To T...mentioning
confidence: 99%
“…This strategy has been helpful to determine ligand binding pathways, for example, in the nuclear hormone receptor [30] and in the vanillyl, alcohol oxidase [31]. Additionally, PELE's sampling could handle global explorations to identify binding sites around the protein surface as in this study where ligand binding interfaces for protein-protein inhibition in the flu virus hemagglutinin were identified [32]. The second package, despite the challenge it represents, offers a promising approach to the determination of absolute binding free energies, especially in systems with non-occluded binding sites such as urokinase or plasmin receptors where binding events can easily happen.…”
Section: Molecular Modelling Advancesmentioning
confidence: 99%