MiCK:与癌症患者化疗耐药相关的肠道微生物基因数据库。

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2024-12-21 DOI:10.1093/database/baae124
Muhammad Shahzaib, Muhammad Muaz, Muhammad Hasnain Zubair, Masood Ur Rehman Kayani
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引用次数: 0

摘要

癌症仍然是一项全球健康挑战,发病率和死亡率都很高。2020年,癌症导致近1000万人死亡,成为全球第二大死因。化疗耐药性的出现已经成为成功治疗癌症患者的主要障碍。最近,人类肠道微生物通过其代谢物调节药物疗效,最终导致药物耐药。目前可用的数据库仅限于关于肠道微生物群与药物之间相互作用的知识。然而,包含人类肠道微生物基因序列及其对癌症患者化疗疗效影响的数据库尚未建立。为了应对这一挑战,我们提出了微生物化学耐药知识库(MiCK),这是一个综合数据库,编目了与化学耐药相关的微生物基因序列。MiCK包含160万个与化学耐药和药物代谢相关的29种基因类型的序列,这些序列是从最近的文献和序列数据库中手动整理出来的。该数据库可以支持下游分析,因为它为序列搜索和下载功能提供了一个用户友好的web界面。MiCK旨在通过为研究人员提供宝贵的资源,促进对癌症化疗耐药的理解和缓解。数据库地址:https://microbialchemreskb.com/。
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MiCK: a database of gut microbial genes linked with chemoresistance in cancer patients.

Cancer remains a global health challenge, with significant morbidity and mortality rates. In 2020, cancer caused nearly 10 million deaths, making it the second leading cause of death worldwide. The emergence of chemoresistance has become a major hurdle in successfully treating cancer patients. Recently, human gut microbes have been recognized for their role in modulating drug efficacy through their metabolites, ultimately leading to chemoresistance. The currently available databases are limited to knowledge regarding the interactions between gut microbiome and drugs. However, a database containing the human gut microbial gene sequences, and their effect on the efficacy of chemotherapy for cancer patients has not yet been developed. To address this challenge, we present the Microbial Chemoresistance Knowledgebase (MiCK), a comprehensive database that catalogs microbial gene sequences associated with chemoresistance. MiCK contains 1.6 million sequences of 29 gene types linked to chemoresistance and drug metabolism, curated manually from recent literature and sequence databases. The database can support downstream analysis as it provides a user-friendly web interface for sequence search and download functionalities. MiCK aims to facilitate the understanding and mitigation of chemoresistance in cancers by serving as a valuable resource for researchers. Database URL: https://microbialchemreskb.com/.

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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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