2023
DOI: 10.1007/s00894-023-05516-5
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Multi-dimensional structural footprint identification for the design of potential scaffolds targeting METTL3 in cancer treatment from natural compounds

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Cited by 4 publications
(5 citation statements)
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References 119 publications
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“…These candidates exhibit more negative free energy than STM2457. The in silico analysis suggested that these compounds possess drug‐like properties and lower toxicity compared to STM2457 154 . It is important to note that while the computational methods provided valuable insights into the candidates' properties, wet‐lab experiments are yet to be conducted to validate their activity in vitro or in vivo.…”
Section: Therapeutic Potentialmentioning
confidence: 99%
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“…These candidates exhibit more negative free energy than STM2457. The in silico analysis suggested that these compounds possess drug‐like properties and lower toxicity compared to STM2457 154 . It is important to note that while the computational methods provided valuable insights into the candidates' properties, wet‐lab experiments are yet to be conducted to validate their activity in vitro or in vivo.…”
Section: Therapeutic Potentialmentioning
confidence: 99%
“…AML, osteosarcoma [152] Analogues and derivatives of adenosines [151] SANCDB0370, SANCDB0867, and SANCDB1033 [154] Quercetin Efficiently inhibits the viability of MIA PaCa-2 and Huh7 tumour cells.…”
Section: Cpb-564mentioning
confidence: 99%
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“…The changes in conformational dynamics of METTL3 upon the flavonoids binding is akin to STM2457 as reported by Abdul et al, wherein the compound which had demonstrated high efficacy in in vivo studies, induced stability with reduction in residual fluctuations of METTL3. [85] As such, the perturbations exhibited by these compounds further indicate their potential to therapeutically inhibit METTL3.…”
Section: Potential Anti-mttl3 Flavonoids Perturb the Global Mettl3 Co...mentioning
confidence: 99%
“…This approach has been useful at the early stages of drug discovery to screen large libraries of compounds for potential inhibitors through the exhibited docking scores. [85][86][87] This approach eliminates tentative binders from putative binders thus facilitating the drug discovery process. As such, the retrieved and processed flavonoids were then virtually screened using the two protocols to generate consensus.…”
Section: Structure Based Virtual Screening Of Flavonoidsmentioning
confidence: 99%