On searching antimicrobial agents among natural products:Fighting against Superbug
On searching antimicrobial agents among natural products:Fighting against Superbug
批准号:
20K12043
负责人:
AMIN MD.ALTAFUL
金额:
$2.08万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2020
资助国家:
日本
项目状态:
已结题
起止时间:
2020-04-01 至 2024-03-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Antimicrobial agents are drugs that can kill microorganisms or stop their growth. massive imprudent usage of antibiotics in clinical practice for both human and livestock has resulted in resistance of bacteria to antimicrobial agents. Our research focused on finding natural antibiotic compounds based on traditional medicine formulas. We applied various machine learning algorithms such as Lasso regression, Random Forest and XGBoost, deep learning to Jamu and TCM formulas aiming to finding natural antibiotic plants and compounds. Based on our research in the current fiscal year, we published two papers in journals with reasonable impact factors. One of the papers published in the journal Antibiotics (Impact Factor 4.94) identified antibiotic plants based on Jamu formulas. Another paper published in the journal Methods (Impact Factor 4.647) found out antibacterial natural compounds based on TCM formulas. We also published two papers in IEEE conferences.
期刊论文(17)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[Md. Altaf-Ul-Amin, Shigehiko Kanaya, Naoaki Ono and Ming Huang (Eds.)]
通讯作者:
Naoaki Ono and Ming Huang (Eds.)
DOI:
10.1016/j.softx.2021.100821
发表时间:
2021-09-30
期刊:
SOFTWAREX
影响因子:
3.4
作者:
[Karim,Mohammad Bozlul, Kanaya,Shigehiko, Altaf-Ul-Amin,Md]
通讯作者:
Altaf-Ul-Amin,Md
An Integrated Multi-Omics Approach for AMR Phenotype Prediction of Gut Microbiota
肠道微生物群 AMR 表型预测的综合多组学方法
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Gao, P., Chen, Z., Wang, D., Huang, M., Ono, N., Altaf-Ul-Amin, M., & Kanaya, S]
通讯作者:
S
Prediction of TCM Effective against Bacterial Pneumonia and Identification of Antibacterial Natural Product
中药治疗细菌性肺炎疗效预测及抗菌天然产物鉴定
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Gao, P., Chen, Z., Huang, M., Ono, N., Amin, A., & Kanaya, S]
通讯作者:
S
Novel Methods and Tool for Clustering of Simple and Bipartite Graphs: Applications in Ecology and Computational Biomedical Research
简单图和二部图聚类的新方法和工具:在生态学和计算生物医学研究中的应用
DOI:
--
发表时间:
2023
期刊:
影响因子:
--
作者:
[Kazuyuki Matsumoto, Matsunaga Takumi, Minoru Yoshida, Kenji Kita, 柾凱斗,神谷幸宏, Md. Altaf-Ul-Amin]
通讯作者:
Md. Altaf-Ul-Amin
共 11 条
海外基金