一个拟议的统一,可扩展的平台,用于对有毒物种的综合研究
Shaadi Mehr1,2, Todd Castoe2, Marymegan Daly3
1Dept. of Organismic and Evolutionary Biology, Harvard University, 16 Divinity Ave, Cambridge, MA 02138.
GigaScience
|January 31, 2026
概括
VenomsBase集成了碎片化的有毒动物数据,加速了药理学和进化的新生物活性化合物的发现. 该资源增强了全球研究的可访问性,并促进了毒药科学领域的创新.
科学领域:
- * 生物信息学是一门学科.
- * 动物学 动物学
- * 药理学 药理学 药理学
背景情况:
- * 有毒动物研究受到基因组,蛋白质组和生态数据的碎片化,不可互操作的数据库的阻碍.
- * 有毒生物对新药学和进化发现的潜力受到缺乏宏观规模整合的不整齐的信息学格局的限制.
- *现有的数据孤岛阻碍了对有毒物种种的全面分析和发现.
研究的目的:
- * 介绍VenomsBase,这是一个集成的模块化资源,用于合成多omics数据,生态元数据和有毒生物的功能注释.
- *建立一个FAIR (可查找,可访问,可互操作,可重复使用) 数据资源,以促进宏观规模的整合和分析.
- *加速用于治疗和进化应用的毒素发现,并培养协作研究生态系统.
主要方法:
- * 开发了一个基于本体学的架构,并与大数据云工作流相结合,用于数据集成.
- * 实现了序列集成,图案聚类,3D可视化和生态元数据链接.
- *通过标准化工具和培训模块,确保全球可访问性,遵守FAIR指南.
主要成果:
- *VenomsBase成功地集成了多omics数据,生态元数据和有毒生物的功能注释.
- * 该资源提供了序列分析,动机发现,3D结构可视化和生态利基关联的工具.
- *标准化模块和培训提高了全球研究人员的可访问性,包括那些在资源有限的环境.
结论:
- *VenomsBase通过提供经过验证,交叉引用的数据集,显著加速用于治疗和进化研究的毒素发现.
- * 该平台促进了一个开放,协作和创新准备的毒药研究生态系统.
- *其模块化设计允许未来扩展和整合额外的分析工具和物种.
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