Academia molecular biology and genomics最新文献

筛选
英文 中文
Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning. 通过蛋白质家族结构域分析和机器学习快速评估沙门氏菌病病例的临床严重程度。
Academia molecular biology and genomics Pub Date : 2025-01-01 Epub Date: 2025-06-30 DOI: 10.20935/acadmolbiogen7776
Aakash Bhattacharyya, Sudip Panday, David Ussery
{"title":"Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning.","authors":"Aakash Bhattacharyya, Sudip Panday, David Ussery","doi":"10.20935/acadmolbiogen7776","DOIUrl":"10.20935/acadmolbiogen7776","url":null,"abstract":"<p><p><i>Salmonella</i> is a common pathogen, infecting more than a million people yearly. Rapid assessment of clinical case severity is essential for improving patient outcomes and optimizing healthcare resources. Advancements in genome sequencing technologies have enabled the analysis of bacterial genomes from many clinical cases, opening up new opportunities for precise and timely diagnosis. This study proposes a genome-based framework for identifying critical <i>Salmonella</i> cases before the onset of critical symptoms and facilitating early medical intervention. By leveraging protein family (Pfam) domains as the representation for genomic data, the complex genetic profiles of <i>Salmonella</i> cases are simplified into interpretable features. The severity levels of cases were investigated through rigorous data analysis, resulting in a set of 70 Pfam domains that could be potentially used as biomarkers. Machine Learning was employed to assess the predictive power of the curated Pfam biomarkers, achieving high accuracy (~93%) in sorting cases into critical, moderate, and mild categories. The results demonstrate the efficacy of the proposed approach. This framework highlights the potential of using bacterial genomic data in clinical decision-making, opening the window for timely personalized interventions for <i>Salmonella</i> infection management.</p>","PeriodicalId":521050,"journal":{"name":"Academia molecular biology and genomics","volume":"2 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12440251/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145083260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书