通过AlphaFold对从乳膜黑色素瘤的新型异构体的结构预测
Zhe Zhang1,2,3, Chen Li4, Qian Li5,6,7
1Department of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. zhangzistiger@gmail.com.
研究人员介绍了预测的蛋白质结构,用于Uveal黑色素瘤中异常拼接变体. 这一数据集有助于在原子水平上识别治疗标和癌症新抗原.
科学领域:
- 分子生物学分子生物学
- 结构生物学 结构生物学
- 在瘤学瘤学.
背景情况:
- 替代拼接产生蛋白质多样性,但由于预测困难,变体的蛋白质结构在很大程度上未被探索.
- 蛋白质结构预测的进步,特别是AlphaFold,现在可以探索这些结构.
研究的目的:
- 为了呈现一个数据集的预测蛋白质结构的异常拼接异型在阴道黑色素瘤.
- 为识别治疗标和癌症新抗原提供结构数据.
主要方法:
- 利用了来自18名毛膜性黑色素瘤患者的第二代和第三代转录组测序数据.
- 采用AlphaFold来预测已识别的异常异构体的三维蛋白质结构.
主要成果:
- 产生了315个异常拼接异型的预测结构的数据集.
- 这些数据代表了在阴道黑色素瘤中发现的反复异常同型.
结论:
- 预测的结构数据为皮膜黑色素瘤研究提供了宝贵的资源.
- 该资源促进了对治疗点和原子级癌症新抗原识别的研究.
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