On searching antimicrobial agents among natural products:Fighting against Superbug

抗菌剂是一种可以杀死微生物或阻止其生长的药物。在人类和家畜的临床实践中，大量不谨慎地使用抗生素导致了细菌对抗菌剂的耐药性。我们的研究重点是寻找基于传统药物配方的天然抗生素化合物。我们将各种机器学习算法，如Lasso回归、随机森林和XGBoost，深度学习应用到Jamu和中药配方中，旨在寻找天然的抗生素植物和化合物。基于我们在本财年的研究，我们在具有合理影响因子的期刊上发表了两篇论文。发表在《抗生素(影响因子4.94)》杂志上的一篇论文确定了基于贾木配方的抗生素植物。另一篇发表在《方法》(影响因子4.647)期刊上的论文发现了基于中药配方的抗菌天然化合物。我们还在IEEE会议上发表了两篇论文。

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.