RESUMEN
CDK5 kinase plays a central role in the regulation of neuronal functions, and its hyperactivation has been associated with neurodegenerative pathologies and more recently with several human cancers, in particular lung cancer. However, ATP-competitive inhibitors targeting CDK5 are poorly selective and suffer limitations, calling for new classes of inhibitors. In a screen for allosteric modulators of CDK5, we identified ethaverine and closely related derivative papaverine and showed that they inhibit cell proliferation and migration of non small cell lung cancer cell lines. Moreover the efficacy of these compounds is significantly enhanced when combined with the ATP-competitive inhibitor roscovitine, suggesting an additive dual mechanism of inhibition targeting CDK5. These compounds do not affect CDK5 stability, but thermodenaturation studies performed with A549 cell extracts infer that they interact with CDK5 in cellulo. Furthermore, the inhibitory potentials of ethaverine and papaverine are reduced in A549 cells treated with siRNA directed against CDK5. Taken together, our results provide unexpected and novel evidence that ethaverine and papaverine constitute promising leads that can be repurposed for targeting CDK5 in lung cancer.
RESUMEN
The design of bifunctional compounds is a promising approach toward the development of strong analgesics with reduced side effects. We here report the optimization of the previously published lead peptide KGFF09, which contains opioid receptor agonist and neuropeptide FF receptor antagonist pharmacophores and is shown to induce potent antinociception and reduced side effects. We evaluated the novel hybrid peptides for their in vitro activity at MOP, NPFFR1, and NPFFR2 and selected four of them (DP08/14/32/50) for assessment of their acute antinociceptive activity in mice. We further selected DP32 and DP50 and observed that their antinociceptive activity is mostly peripherally mediated; they produced no respiratory depression, no hyperalgesia, significantly less tolerance, and strongly attenuated withdrawal syndrome, as compared to morphine and the recently FDA-approved TRV130. Overall, these data suggest that MOP agonist/NPFF receptor antagonist hybrids might represent an interesting strategy to develop novel analgesics with reduced side effects.
Asunto(s)
Receptores de Neuropéptido , Receptores Opioides mu , Animales , Receptores Opioides mu/agonistas , Receptores Opioides mu/antagonistas & inhibidores , Receptores Opioides mu/metabolismo , Ratones , Receptores de Neuropéptido/agonistas , Receptores de Neuropéptido/antagonistas & inhibidores , Receptores de Neuropéptido/metabolismo , Masculino , Analgésicos/farmacología , Analgésicos/química , Analgésicos/uso terapéutico , Analgésicos/síntesis química , Humanos , Relación Estructura-Actividad , Analgésicos Opioides/farmacología , Analgésicos Opioides/químicaRESUMEN
A chemical library is a key element in the early stages of pharmaceutical research. Its design encompasses various factors, such as diversity, size, ease of synthesis, aimed at increasing the likelihood of success in drug discovery. This article explores the collaborative efforts of computational and synthetic chemists in tailoring chemical libraries for cost-effective and resource-efficient use, particularly in the context of academic research projects. It proposes chemoinformatics methodologies that address two pivotal questions: first, crafting a diverse panel of under 1000 compounds from an existing pool through synthetic efforts, leveraging the expertise of organic chemists; and second, expanding pharmacophoric diversity within this panel by creating a highly accessible virtual chemical library. Chemoinformatics tools were developed to analyse initial panel of about 10,000 compounds into two tailored libraries: eIMS and vIMS. The eIMS Library comprises 578 diverse in-stock compounds ready for screening. Its virtual counterpart, vIMS, features novel compounds guided by chemists, ensuring synthetic accessibility. vIMS offers a broader array of binding motifs and improved drug-like characteristics achieved through the addition of diverse functional groups to eIMS scaffolds followed by filtering of reactive or unusual structures. The uniqueness of vIMS is emphasized through a comparison with commercial suppliers' virtual chemical space.