The latest study published in Nature by Andrew R.Burns,Peter J.Roy and co-authors is highlighted in this paper,they investigated a series of novel nematicidal compounds,including Selectivin-A and Selectivin-E,and expl...The latest study published in Nature by Andrew R.Burns,Peter J.Roy and co-authors is highlighted in this paper,they investigated a series of novel nematicidal compounds,including Selectivin-A and Selectivin-E,and explored their mechanism of action.Experiments have displayed that the Selectivin compound is inactive to human cells,fish,fungi,insects and even beneficial nematodes.In the exploration of its mechanism of action,it was found that the mechanism of action of Selectivin is different with those of commercial nematocides:Selectivin needs to be activated by biotin produced by nematodes,after that they can be transformed into compounds with high nematicidal activity.This proves that the family of Selectivin compounds has the advantages of high selectivity and environmental friendliness,and their mechanism of action is completely new,proposing a completely new path for the development of new nematicides.展开更多
The latest review published in Nature Reviews Drug Discovery by Michael W.Mullowney and co-authors focuses on the use of artificial intelligence techniques,specifically machine learning,in natural product drug discove...The latest review published in Nature Reviews Drug Discovery by Michael W.Mullowney and co-authors focuses on the use of artificial intelligence techniques,specifically machine learning,in natural product drug discovery.The authors discussed various applications of AI in this field,such as genome and metabolome mining,structural characterization of natural products,and predicting targets and biological activities of these compounds.They also highlighted the challenges associated with creating and managing large datasets for training algorithms,as well as strategies to address these obstacles.Additionally,the authors examine common pitfalls in algorithm training and offer suggestions for avoiding them.展开更多
基金supported in part by the National Key Research and Development Program of China(2021YFD1700103)the National Natural Science Foundation of China(22177051,32061143045)+1 种基金the Fundamental Research Funds for the Central Universities(KYCYXT2022010)Sichuan Key Research and Development Program(22ZDYF0186,2021YFN0134).
文摘The latest study published in Nature by Andrew R.Burns,Peter J.Roy and co-authors is highlighted in this paper,they investigated a series of novel nematicidal compounds,including Selectivin-A and Selectivin-E,and explored their mechanism of action.Experiments have displayed that the Selectivin compound is inactive to human cells,fish,fungi,insects and even beneficial nematodes.In the exploration of its mechanism of action,it was found that the mechanism of action of Selectivin is different with those of commercial nematocides:Selectivin needs to be activated by biotin produced by nematodes,after that they can be transformed into compounds with high nematicidal activity.This proves that the family of Selectivin compounds has the advantages of high selectivity and environmental friendliness,and their mechanism of action is completely new,proposing a completely new path for the development of new nematicides.
基金supported in part by the National Key Research and Development Program of China(2021YFD1700100,2023YFD1700500)the National Natural Science Foundation of China(22177051)+1 种基金the Fundamental Research Funds for the Central Universities(KYCYXT2022010)Sichuan Key Research and Development Program(22ZDYF0186,2021YFN0134).
文摘The latest review published in Nature Reviews Drug Discovery by Michael W.Mullowney and co-authors focuses on the use of artificial intelligence techniques,specifically machine learning,in natural product drug discovery.The authors discussed various applications of AI in this field,such as genome and metabolome mining,structural characterization of natural products,and predicting targets and biological activities of these compounds.They also highlighted the challenges associated with creating and managing large datasets for training algorithms,as well as strategies to address these obstacles.Additionally,the authors examine common pitfalls in algorithm training and offer suggestions for avoiding them.
