On searching antimicrobial agents among natural products:Fighting against Superbug

抗菌剂是可以杀死微生物或阻止其生长的药物。在人类和牲畜的临床实践中，大量不谨慎地使用抗生素已导致细菌对抗菌药物产生耐药性。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Lasso回归、Random Forest和XGBoost等多种机器学习算法，深度学习应用于Jamu和中药配方，旨在寻找天然抗生素植物和化合物。基于本财年的研究，我们在影响因子合理的期刊上发表了两篇论文。发表在《抗生素》（影响因子4.94）杂志上的一篇论文根据Jamu配方确定了抗生素植物。另一篇发表在《方法》杂志（影响因子4.647）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.