Cipargamin作为抗巴贝虫候选药物的药效与作用机制

数据集获取

源站：https://doi.org/10.5061/dryad.8kprr4z02

标准获取流程：

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2. 进入数据集详情页，按页面指引申请权限或直接下载；
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   • OpenDataLab: pip install openxlab 后 openxlab.dataset.get(...)
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     以源站「数据下载/使用文档」页面为准。

数据集大小约 46.9 KB。

数据说明

Babesiosis is a disease brought on by intraerythrocytic parasites of the genus Babesia. Current chemotherapies are accompanied by side effects and parasite relapse. Therefore, it is crucial to develop highly effective drugs against Babesia. Cipargamin (CIP) has shown inhibition against apicomplexan parasites, mainly Plasmodium and Toxoplasma. This study evaluated the growth-inhibiting properties of CIP against Babesia spp. and investigated the mechanism of CIP on B. gibsoni. The half inhibitory concentration (IC50) values of CIP against the in vitro growth of B. bovis and B. gibsoni were 20.2 ± 1.4 nM and 69.4 ± 2.2 nM, respectively. CIP significantly inhibited the growth of B. microti and B. rodhaini in vivo. Resistance was conferred by L921V and L921I mutations in BgATP4, which reduced the sensitivity to CIP by 6.1- and 12.8-fold. The inhibitory potency of CIP against BgATP4-associated ATPase activity was moderately reduced in mutant strains, with a 1.3-fold and 2.4-fold decrease in BgATP4L921V and BgATP4L921I, respectively, compared to that of BgATP4WT. An in-silico investigation revealed reductions in affinity for CIP binding to BgATP4L921V and BgATP4L921I compared to BgATP4WT. Resistant strains showed no significant cross-resistance to atovaquone (ATO) or tafenoquine succinate (TQ), with less than a one-fold change in IC50 values. Combining CIP with TQ effectively eliminated B. microti infection in SCID mice with no relapse, and parasite DNA was not detected by qPCR within 90 days post-infection. Our findings reveal the efficacy of CIP as an anti-babesial agent, its limitations as a monotherapy due to resistance development, and the potential of combination therapy with TQ to overcome said resistance and achieve complete parasite clearance.

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。