Qiao Fangfang, Binkowski Thomas Andrew, Broughan Irene, Chen Weining, Natarajan Amarnath, Schiltz Gary E, Scheidt Karl A, Anderson Wayne F, Bergan Raymond
Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68105, USA.
Department of Computer Science, University of Chicago, Chicago, IL 60637, USA.
Cancers (Basel). 2024 Sep 17;16(18):3177. doi: 10.3390/cancers16183177.
Drug discovery historically starts with an established function, either that of compounds or proteins. This can hamper discovery of novel therapeutics. As structure determines function, we hypothesized that unique 3D protein structures constitute primary data that can inform novel discovery. Using a computationally intensive physics-based analytical platform operating at supercomputing speeds, we probed a high-resolution protein X-ray crystallographic library developed by us. For each of the eight identified novel 3D structures, we analyzed binding of sixty million compounds. Top-ranking compounds were acquired and screened for efficacy against breast, prostate, colon, or lung cancer, and for toxicity on normal human bone marrow stem cells, both using eight-day colony formation assays. Effective and non-toxic compounds segregated to two pockets. One compound, Dxr2-017, exhibited selective anti-melanoma activity in the NCI-60 cell line screen. In eight-day assays, Dxr2-017 had an IC50 of 12 nM against melanoma cells, while concentrations over 2100-fold higher had minimal stem cell toxicity. Dxr2-017 induced anoikis, a unique form of programmed cell death in need of targeted therapeutics. Our findings demonstrate proof-of-concept that protein structures represent high-value primary data to support the discovery of novel acting therapeutics. This approach is widely applicable.
从历史角度来看,药物发现始于已确定的功能,该功能要么是化合物的功能,要么是蛋白质的功能。这可能会阻碍新型疗法的发现。由于结构决定功能,我们推测独特的三维蛋白质结构构成了可用于新发现的主要数据。我们使用一个以超级计算速度运行的计算密集型基于物理的分析平台,对我们开发的高分辨率蛋白质X射线晶体学文库进行了探测。对于鉴定出的八种新型三维结构中的每一种,我们分析了六千万种化合物的结合情况。获取排名靠前的化合物,并通过八天集落形成试验筛选其对乳腺癌、前列腺癌、结肠癌或肺癌的疗效以及对正常人骨髓干细胞的毒性。有效且无毒的化合物聚集在两个口袋区域。一种化合物Dxr2 - 017在NCI - 60细胞系筛选中表现出选择性抗黑色素瘤活性。在八天的试验中,Dxr2 - 017对黑色素瘤细胞的IC50为12 nM,而浓度高出2100倍以上时对干细胞的毒性极小。Dxr2 - 017诱导失巢凋亡,这是一种需要靶向治疗的独特程序性细胞死亡形式。我们的研究结果证明了蛋白质结构作为支持新型作用疗法发现的高价值主要数据的概念验证。这种方法具有广泛的适用性。