Institute for Advanced Medical Research and Training, College of Medicine, University of Ibadan, Ibadan, Oyo State, Nigeria.
Department of Chemistry and Biochemistry, University of Maryland, College Park, Maryland, USA.
J Mol Graph Model. 2023 Nov;124:108549. doi: 10.1016/j.jmgm.2023.108549. Epub 2023 Jun 17.
The quest in finding an everlasting panacea to the pernicious impact of sickle cell disease (SCD) in the society hit a turn of success since the recent discovery of a small molecule reversible covalent inhibitor, Voxelotor. A drug that primarily promotes the stability of oxygenated hemoglobin and inhibit the polymerization of HbS by enhancing hemoglobin's affinity for oxygen has opened a new frontier in drug discovery and development. Despite eminent efforts made to reproduce small molecules with better therapeutic targets, none has been successful. To this end, we employed the use of structure-based computational techniques with emphasis on the electrophilic warhead group of Voxelotor to harness novel covalent binders that could elicit better therapeutic response against HbS. The PubChem database and DataWarrior software were used to design random molecules using Voxelotor's electrophilic functionality. Following the compilation of these chemical entities, a high-throughput covalent docking-based virtual screening campaign was conducted which revealed three (Compound_166, Compound_2301, and Compound_2335) putative druglike candidates with higher baseline energy value compared to the standard drug. Subsequently, in silico ADMET profiling was carried out to evaluate their pharmacokinetics and pharmacodynamics properties, and their stability was evaluated for 1 μs (1 μs) using molecular dynamics simulation. Finally, to prioritize these compounds for further development in drug discovery, MM/PBSA calculations was employed to evaluate their molecular interactions and solvation energy within the HbS protein. Despite the admirable druglike and stability properties of these compounds, further experimental validations are required to establish their preclinical relevance for drug development.
寻找一种能永久消除镰状细胞病(SCD)在社会中危害的方法,这一探索最近取得了成功,因为发现了一种小分子可逆共价抑制剂——沃诺拉赞。这种药物主要通过提高血红蛋白对氧气的亲和力来促进氧合血红蛋白的稳定性,并抑制 HbS 的聚合,为药物发现和开发开辟了新的前沿。尽管人们做出了巨大努力来复制具有更好治疗靶点的小分子,但都没有成功。为此,我们采用了基于结构的计算技术,重点研究沃诺拉赞的亲电弹头基团,以利用新的共价结合物,从而对 HbS 产生更好的治疗反应。我们使用 PubChem 数据库和 DataWarrior 软件来设计使用沃诺拉赞的亲电官能团的随机分子。在这些化学实体被编译之后,我们进行了高通量基于共价对接的虚拟筛选,发现了三个(Compound_166、Compound_2301 和 Compound_2335)具有更高基线能量值的潜在药物候选物,与标准药物相比。随后,我们进行了计算机辅助药物设计(ADMET)分析,以评估它们的药代动力学和药效动力学特性,并使用分子动力学模拟评估它们在 1 μs(1 微秒)时的稳定性。最后,为了在药物发现中优先考虑这些化合物,我们采用 MM/PBSA 计算来评估它们在 HbS 蛋白中的分子相互作用和溶剂化能。尽管这些化合物具有令人钦佩的类药性和稳定性,但仍需要进一步的实验验证来确定它们在药物开发中的临床前相关性。