ORMCKB: A Knowledge Database for Personalized Medicine in Deciphering the Oral Microbiome-Disease Axis.

IF 3.9 2区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Yutao Wu, Yi Zhou, Wenjing Shi, Siyu Zhou, Min Jiang, Ke Shen, Xingyun Liu, Xiaoyu Li, Jiao Wang, Chi Zhang, Bairong Shen, Weidong Tian
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Abstract

The oral microbiome plays a crucial role in the development and progression of diseases. The complex interactions between the oral microbiome and diseases are challenging for clinicians in clinical decision-making and scientific research. To address this gap, we developed an oral microbiome knowledge database (ORMCKB), to provide evidence for personalized medicine and scientific research in the oral microbiome-disease axis. The current version of ORMCKB contains 11,554 data entries, encompassing 6941 oral microbe taxonomies, 234 diseases, 220 interventions, and 175 bacteriostats extracted from 818 publications. Compared to ChatGPT-4o, ORMCKB demonstrates superior performance in matching questions with responses (10 vs. 9.6), presenting research article details (10 vs. 5.80), and recommended scientific article authenticity ratio (100% vs. 33.63%). The system usability scale (SUS) and the net promoter score (NPS) were 86.07 and 85.71, respectively. As the first knowledge database focused on the oral microbiome-disease axis, ORMCKB provides a comprehensive, accurate, and user-friendly online resource for identifying key microbial players and their associations with oral diseases in personalized medicine. ORMCKB is set to sustain its prominence in cutting-edge research on the oral microbiome-disease axis, paving the way for future artificial intelligence applications in both scientific research and clinical practice. ORMCKB is publicly available at: http://sysbio.org.cn/ormckb.

ORMCKB:一个个性化医疗知识库,用于破译口腔微生物群-疾病轴。
口腔微生物组在疾病的发生和发展中起着至关重要的作用。口腔微生物群与疾病之间复杂的相互作用给临床医生的临床决策和科学研究带来了挑战。为了解决这一差距,我们开发了口腔微生物组知识数据库(ORMCKB),为口腔微生物组-疾病轴的个性化医疗和科学研究提供证据。ORMCKB的当前版本包含11,554个数据条目,包括6941种口腔微生物分类,234种疾病,220种干预措施和从818种出版物中提取的175种抑菌剂。与chatgpt - 40相比,ORMCKB在问题与答案的匹配(10比9.6)、研究文章细节的呈现(10比5.80)和推荐科学文章的真实性(100%比33.63%)方面表现出更优越的性能。系统可用性量表(SUS)和净推荐值(NPS)分别为86.07和85.71。ORMCKB是第一个专注于口腔微生物组-疾病轴的知识数据库,为个性化医疗中识别关键微生物及其与口腔疾病的关联提供了全面、准确和用户友好的在线资源。ORMCKB将在口腔微生物群-疾病轴的前沿研究中保持其突出地位,为未来人工智能在科学研究和临床实践中的应用铺平道路。ORMCKB可在http://sysbio.org.cn/ormckb公开获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Interdisciplinary Sciences: Computational Life Sciences
Interdisciplinary Sciences: Computational Life Sciences MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
8.60
自引率
4.20%
发文量
55
期刊介绍: Interdisciplinary Sciences--Computational Life Sciences aims to cover the most recent and outstanding developments in interdisciplinary areas of sciences, especially focusing on computational life sciences, an area that is enjoying rapid development at the forefront of scientific research and technology. The journal publishes original papers of significant general interest covering recent research and developments. Articles will be published rapidly by taking full advantage of internet technology for online submission and peer-reviewing of manuscripts, and then by publishing OnlineFirstTM through SpringerLink even before the issue is built or sent to the printer. The editorial board consists of many leading scientists with international reputation, among others, Luc Montagnier (UNESCO, France), Dennis Salahub (University of Calgary, Canada), Weitao Yang (Duke University, USA). Prof. Dongqing Wei at the Shanghai Jiatong University is appointed as the editor-in-chief; he made important contributions in bioinformatics and computational physics and is best known for his ground-breaking works on the theory of ferroelectric liquids. With the help from a team of associate editors and the editorial board, an international journal with sound reputation shall be created.
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