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恶性疟原虫亮氨酰氨肽酶潜在抑制剂的筛选及体外评价

Screening and In Vitro Evaluation of Potential Plasmodium falciparum Leucyl Aminopeptidase Inhibitors.

作者信息

Chaudhary Meenakshi, Singh Vineeta, Anvikar Anup R, Sahi Shakti

机构信息

School of Biotechnology, Gautam Buddha University, Greater Noida, 201312, India.

出版信息

Curr Comput Aided Drug Des. 2016;12(4):282-293. doi: 10.2174/1573409912666160722111053.

Abstract

BACKGROUND

Plasmodium falciparum leucyl aminopeptidase (PfA-M17) regulates the intracellular pool of amino acids required for the growth and development of parasites. Thus, PfA-M17 is a promising target for anti-malarial drug development.

METHOD

In the present study, structure-based drug design was used to identify novel PfA-M17 inhibitors, which were subsequently validated by in vitro PfA-M17 and human LAP3 enzyme inhibition assay. A library of 3,147,882 compounds was screened using receptor-based virtual screening against the active site of PfA-M17, and three levels of accuracy were used: high-throughput virtual screening, gridbased ligand docking with energetics (Glide standard precision) and Glide extra precision.

RESULTS

Seventeen screened compounds were selected and tested in the rPfA-M17 enzyme inhibition assay. Of these nine compounds were found to be effective inhibitors. To test the target activity, all nine PfA-M17 inhibitors were tested against rhLAP3, the human homolog of PfA-M17. One compound (compound 2) was found to be moderately effective against PfA-M17 (Ki = 287 μM) with limited inhibitory activity against hLAP3 (Ki of 4,464 μM). Subsequently, induced fit docking and pharmacophore modelling were used to further understand more precise ligand-protein interactions in the protein-inhibitor complexes.

CONCLUSION

Among the 9 effective PfA-M17 inhibitors, 5 compounds were found effective in the P. falciparum schizont maturation inhibition (SMI) assay. A good correlation (r =0.83) was observed between the rPfA-M17 enzyme inhibition concentration and SMI assay.

摘要

背景

恶性疟原虫亮氨酰氨肽酶(PfA-M17)调节寄生虫生长和发育所需的细胞内氨基酸库。因此,PfA-M17是抗疟疾药物开发的一个有前景的靶点。

方法

在本研究中,基于结构的药物设计被用于鉴定新型PfA-M17抑制剂,随后通过体外PfA-M17和人LAP3酶抑制试验进行验证。使用基于受体的虚拟筛选针对PfA-M17的活性位点对3147882种化合物的文库进行筛选,并使用了三个准确度水平:高通量虚拟筛选、基于网格的配体对接与能量学(Glide标准精度)和Glide额外精度。

结果

筛选出17种化合物并在重组PfA-M17酶抑制试验中进行测试。其中9种化合物被发现是有效的抑制剂。为了测试靶点活性,所有9种PfA-M17抑制剂都针对PfA-M17的人类同源物rhLAP3进行了测试。发现一种化合物(化合物2)对PfA-M17有中等效力(Ki = 287 μM),对hLAP3的抑制活性有限(Ki为4464 μM)。随后,使用诱导契合对接和药效团建模来进一步了解蛋白质-抑制剂复合物中更精确的配体-蛋白质相互作用。

结论

在9种有效的PfA-M17抑制剂中,发现5种化合物在恶性疟原虫裂殖体成熟抑制(SMI)试验中有效。在重组PfA-M17酶抑制浓度和SMI试验之间观察到良好的相关性(r = 0.83)。

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