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AAAKB:一个用于跟踪和预测腹主动脉瘤(AAA)基因的人工 curated 数据库。

AAAKB: A manually curated database for tracking and predicting genes of Abdominal aortic aneurysm (AAA).

机构信息

Institute of Industrial Internet and Internet of Things, China Academy of Information and Communications Technology (CAICT), China.

Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing, China.

出版信息

PLoS One. 2023 Dec 15;18(12):e0289966. doi: 10.1371/journal.pone.0289966. eCollection 2023.

DOI:10.1371/journal.pone.0289966
PMID:38100461
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10723669/
Abstract

Abdominal aortic aneurysm (AAA), an extremely dangerous vascular disease with high mortality, causes massive internal bleeding due to aneurysm rupture. To boost the research on AAA, efforts should be taken to organize and link the information about AAA-related genes and their functions. Currently, most researchers screen through genetic databases manually, which is cumbersome and time-consuming. Here, we developed "AAAKB" a manually curated knowledgebase containing genes, SNPs and pathways associated with AAA. In order to facilitate researchers to further explore the mechanism network of AAA, AAAKB provides predicted genes that are potentially associated with AAA. The prediction is based on the protein interaction information of genes collected in the database, and the random forest algorithm (RF) is used to build the prediction model. Some of these predicted genes are differentially expressed in patients with AAA, and some have been reported to play a role in other cardiovascular diseases, illustrating the utility of the knowledgebase in predicting novel genes. Also, AAAKB integrates a protein interaction visualization tool to quickly determine the shortest paths between target proteins. As the first knowledgebase to provide a comprehensive catalog of AAA-related genes, AAAKB will be an ideal research platform for AAA. Database URL: http://www.lqlgroup.cn:3838/AAAKB/.

摘要

腹主动脉瘤(AAA)是一种死亡率极高的极其危险的血管疾病,会因动脉瘤破裂而导致大量内出血。为了推动 AAA 的研究,应该努力组织和关联与 AAA 相关的基因及其功能的信息。目前,大多数研究人员都是手动筛选基因数据库,这既繁琐又耗时。在这里,我们开发了“AAAKB”,这是一个人工整理的知识库,其中包含与 AAA 相关的基因、SNP 和途径。为了方便研究人员进一步探索 AAA 的机制网络,AAAKB 提供了与 AAA 潜在相关的预测基因。该预测是基于数据库中收集的基因的蛋白质相互作用信息,使用随机森林算法(RF)构建预测模型。其中一些预测基因在 AAA 患者中存在差异表达,一些基因已被报道在其他心血管疾病中发挥作用,这说明了该知识库在预测新基因方面的实用性。此外,AAAKB 集成了一个蛋白质相互作用可视化工具,可快速确定目标蛋白质之间的最短路径。作为第一个提供 AAA 相关基因综合目录的知识库,AAAKB 将成为 AAA 的理想研究平台。数据库网址:http://www.lqlgroup.cn:3838/AAAKB/。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c219/10723669/df46f300b6a4/pone.0289966.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c219/10723669/0e66f49a0260/pone.0289966.g002.jpg
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