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Effective Virtual Screening Strategy toward heme-containing proteins: Identification of novel IDO1 inhibitors.

Yi Zou | Yue Hu | Shushan Ge | Yingbo Zheng | Yuezhen Li | Wen Liu | Wenjie Guo | Yihua Zhang | Qiang Xu | Yisheng Lai
European journal of medicinal chemistry | 2019

Developing small molecules occupying the heme-binding site using computational approaches remains a challenging task because it is difficult to characterize heme-ligand interaction in heme-containing protein. Indoleamine 2,3-dioxygenase 1 (IDO1) is an intracellular heme-containing dioxygenase which is associated with the immunosuppressive effects in cancer. With IDO1 as an example, herein we report a combined virtual screening (VS) strategy including high-specificity heme-binding group (HmBG)-based pharmacophore screening and cascade molecular docking to identify novel IDO1 inhibitors. A total of four hit compounds were obtained and showed proper binding with the heme iron coordinating site. Further structural optimization led to a promising compound S18-3, which exerted potent anti-tumor efficacy in BALB/c mice bearing established CT26 tumors by activating the host's immune system. These results suggest that S18-3 merits further study to assess its potential for the intervention of cancer. Furthermore, our study also unveils a novel in silico-based strategy for identifying potential regulators for hemeproteins within short timeframe.

Pubmed ID: 31610376

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QikProp (tool)

RRID:SCR_014906

Software program for ADME property prediction for drug development. The program uses properties such as octanol/water and water/gas log Ps and 3D molecular structure. It is capable of screening compound libraries using computed properties to filter out unlikely drug candidates.

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