日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Investigating Potential Anti-Bacterial Natural Products Based on Ayurvedic Formulae Using Supervised Network Analysis and Machine Learning Approaches

利用监督网络分析和机器学习方法研究基于阿育吠陀配方的潜在抗菌天然产物

期刊:Pharmaceuticals
影响因子:4.8
doi:10.3390/ph18020192
Gao, Pei; Nasution, Ahmad Kamal; Ono, Naoaki; Kanaya, Shigehiko; Altaf-Ul-Amin, Md
发表日期：2025
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Self-supervised domain adaptation of protein language model based solely on positive enzyme-reaction pairs

基于正酶-反应对的蛋白质语言模型自监督领域自适应

期刊:Computational and Structural Biotechnology Journal
影响因子:4.1
doi:10.1016/j.csbj.2025.11.045
Okuno, Tomoya; Ono, Naoaki; Altaf-Ul-Amin, Md; Kanaya, Shigehiko
发表日期：2025
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Discovering natural products as potential inhibitors of SARS-CoV-2 spike proteins

发现天然产物作为SARS-CoV-2刺突蛋白的潜在抑制剂

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-024-83637-4
Alqaaf, Muhammad; Nasution, Ahmad Kamal; Karim, Mohammad Bozlul; Rumman, Mahfujul Islam; Sedayu, Muhammad Hendrick; Supriyanti, Retno; Ono, Naoaki; Altaf-Ul-Amin, Md; Kanaya, Shigehiko
SARS-CoV-2
发表日期：2025
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Implementation of a Conditional Latent Diffusion-Based Generative Model to Synthetically Create Unlabeled Histopathological Images

基于条件潜在扩散的生成模型在合成创建无标签组织病理图像中的应用

期刊:Bioengineering-Basel
影响因子:3.8
doi:10.3390/bioengineering12070764
Rumman, Mahfujul Islam; Ono, Naoaki; Ohuchida, Kenoki; Nasution, Ahmad Kamal; Alqaaf, Muhammad; Altaf-Ul-Amin, Md; Kanaya, Shigehiko
发表日期：2025
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Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes

通过分析药物、疾病和基因之间的网络，探索药物在非酒精性脂肪肝疾病治疗中的应用

期刊:Metabolites
影响因子:3.7
doi:10.3390/metabo15040255
Altaf-Ul-Amin, Md; Nasution, Ahmad Kamal; Islam, Rumman Mahfujul; Gao, Pei; Ono, Naoaki; Kanaya, Shigehiko
脂肪肝
代谢
发表日期：2025
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Identifying Potential Natural Antibiotics from Unani Formulas through Machine Learning Approaches

利用机器学习方法从尤那尼配方中识别潜在的天然抗生素

期刊:Antibiotics-Basel
影响因子:4.6
doi:10.3390/antibiotics13100971
Nasution, Ahmad Kamal; Alqaaf, Muhammad; Islam, Rumman Mahfujul; Wijaya, Sony Hartono; Ono, Naoaki; Kanaya, Shigehiko; Altaf-Ul-Amin, Md
发表日期：2024
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Information maximization-based clustering of histopathology images using deep learning

基于信息最大化的深度学习组织病理图像聚类

期刊:PLOS Digital Health
影响因子:7.7
doi:10.1371/journal.pdig.0000391
Rumman, Mahfujul Islam; Ono, Naoaki; Ohuchida, Kenoki; Altaf-Ul-Amin, M D; Huang, Ming; Kanaya, Shigehiko
发表日期：2023
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On QSAR-based cardiotoxicity modeling with the expressiveness-enhanced graph learning model and dual-threshold scheme

基于QSAR的心脏毒性建模，采用表达能力增强的图学习模型和双阈值方案

期刊:Frontiers in Physiology
影响因子:3.4
doi:10.3389/fphys.2023.1156286
Wang, Huijia; Zhu, Guangxian; Izu, Leighton T; Chen-Izu, Ye; Ono, Naoaki; Altaf-Ul-Amin, M D; Kanaya, Shigehiko; Huang, Ming
毒理研究
发表日期：2023
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Deep Learning Approach for Predicting the Therapeutic Usages of Unani Formulas towards Finding Essential Compounds

利用深度学习方法预测尤那尼配方的治疗用途，以发现关键化合物

期刊:Life-Basel
影响因子:3.4
doi:10.3390/life13020439
Wijaya, Sony Hartono; Nasution, Ahmad Kamal; Batubara, Irmanida; Gao, Pei; Huang, Ming; Ono, Naoaki; Kanaya, Shigehiko; Altaf-Ul-Amin, Md
发表日期：2023
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Prediction of Potential Natural Antibiotics Plants Based on Jamu Formula Using Random Forest Classifier

基于随机森林分类器，根据Jamu配方预测潜在天然抗生素植物

期刊:Antibiotics-Basel
影响因子:4.6
doi:10.3390/antibiotics11091199
Nasution, Ahmad Kamal; Wijaya, Sony Hartono; Gao, Pei; Islam, Rumman Mahfujul; Huang, Ming; Ono, Naoaki; Kanaya, Shigehiko; Altaf-Ul-Amin, Md
发表日期：2022
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