Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, South Africa.
Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4001, South Africa.
Med Hypotheses. 2019 Sep;130:109277. doi: 10.1016/j.mehy.2019.109277. Epub 2019 Jun 11.
The proven efficacy of J147 in the treatment of Alzheimer's disease (AD) has been emphatic, particularly since its selective modulatory roles towards mitochondrial ATP synthase (mATPase) were defined. This prospect, if methodically probed, could further pave way for the discovery of novel anti-AD drugs with improved pharmacokinetics and therapeutic potential. To this effect, for the first time, we employed a four-step paradigm that integrated our in-house per-residue energy decomposition (PRED) protocol coupled with molecular dynamics, cheminformatics and analytical binding free energy methods. This was geared towards the screening and identification of new leads that exhibit modulatory potentials towards mATPase in a J147-similar pattern. Interestingly, from a large-scale library of compounds, we funnelled down on three potential hits that demonstrated selective and high-affinity binding activities towards α-F1-ATP synthase (ATP5A) relative to J147. Moreover, these compounds exhibited higher binding propensity with a differential ΔGs greater than -1 kcal/mol comparative to J147, and also elicited distinct modulatory effects on ATP5A domain structures. More interestingly, per-residue pharmacophore modeling of these lead compounds revealed similar interactive patterns with crucial residues at the α-site region of ATP5A characterized by high energy contributions based on binding complementarity. Recurrent target residues involved in high-affinity interactions with the hit molecules relative to J147 include Arg1112 and Gln426. Furthermore, assessments of pharmacokinetics revealed that the lead compounds were highly drug-like with minimal violations of the Lipinski's rule of five. As developed in this study, the most extrapolative pharmacophore model of the selected hits encompassed three electron donors and one electron acceptor. We speculate that these findings will be fundamental to the reformation of anti-AD drug discovery procedures.
J147 在治疗阿尔茨海默病(AD)方面的疗效已得到证实,尤其是因为其对线粒体 ATP 合酶(mATPase)的选择性调节作用得到了明确。如果系统地研究这一前景,可能会进一步为发现具有改善药代动力学和治疗潜力的新型抗 AD 药物铺平道路。为此,我们首次采用了四步范式,该范式集成了我们内部的逐残基能量分解(PRED)方案,以及分子动力学、化学信息学和分析结合自由能方法。这是为了筛选和鉴定新的先导化合物,这些化合物在 J147 相似的模式下表现出对 mATPase 的调节潜力。有趣的是,从一个大规模的化合物库中,我们筛选出了三个有潜力的先导化合物,它们对α-F1-ATP 合酶(ATP5A)表现出相对 J147 的选择性和高亲和力结合活性。此外,这些化合物的结合倾向更高,与 J147 相比,ΔGs 差异大于-1 kcal/mol,并且对 ATP5A 结构域结构也产生了不同的调节作用。更有趣的是,这些先导化合物的逐残基药效团模型揭示了与 ATP5A 上的α位区域的关键残基相似的相互作用模式,这些残基具有基于结合互补性的高能量贡献。与 J147 相比,与命中分子发生高亲和力相互作用的反复出现的靶标残基包括 Arg1112 和 Gln426。此外,药代动力学评估表明,先导化合物具有高度类药性,几乎没有违反 Lipinski 的五规则。如本研究中所开发的,所选命中化合物的最具外推性药效团模型包含三个电子供体和一个电子受体。我们推测,这些发现将是重新制定抗 AD 药物发现程序的基础。