2023
DOI: 10.1101/2023.07.26.550723
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Dynamic Structure-based Pharmacophore Models for Virtual Screening of Small Molecule Libraries Targeting the YB-1

Lalehan Oktay,
Ehsan Sayyah,
Serdar Durdağı

Abstract: In drug discovery, ligand-based techniques offer rapid screening, whereas structure-based approaches provide deeper insights but are time-consuming. Hybrid methods like structure-based pharmacophore models combine advantages for accurate screening of large ligand libraries. However, there are substantial limits to build structure-based pharmacophore models. Static models relying on a single co-crystallized structure or docking pose often fall short in capturing the dynamic nature of binding interactions. In th… Show more

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Cited by 2 publications
(2 citation statements)
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“…In a structure-based pharmacophore model, SU056 demonstrates binding with YB-1 through π-π stacking or π-cation interactions, mimicking the protein-RNA interactions as the CSD. 47 Our findings show that SU056 inhibits YB-1 binding to nascent mRNAs via its RNA-binding site and also inhibits the interaction between YB-1 and RPL11, in turn suppressing translation. YB-1 knockdown reversed SU056-mediated translation inhibition, suggesting that this mechanism depends on YB-1.…”
Section: Discussionmentioning
confidence: 60%
“…In a structure-based pharmacophore model, SU056 demonstrates binding with YB-1 through π-π stacking or π-cation interactions, mimicking the protein-RNA interactions as the CSD. 47 Our findings show that SU056 inhibits YB-1 binding to nascent mRNAs via its RNA-binding site and also inhibits the interaction between YB-1 and RPL11, in turn suppressing translation. YB-1 knockdown reversed SU056-mediated translation inhibition, suggesting that this mechanism depends on YB-1.…”
Section: Discussionmentioning
confidence: 60%
“…Using structure-based pharmacophores in combination with all-atom MD simulations is an advanced method known as dynamic pharmacophore modeling 30,31 . With a particular emphasis on identifying the traits that constantly predominate, our method carefully examines the pharmacophoric features that manifest throughout the simulation frames.…”
Section: Development Of Dynamic Structure-based Pharmacophore Modelsmentioning
confidence: 99%