The large and complex genome of bread wheat,characterized by hexaploidy and a high proportion of repetitive elements(Figure 1),has long been recognized as a barrier for gene discovery.Along with recent advancements in...The large and complex genome of bread wheat,characterized by hexaploidy and a high proportion of repetitive elements(Figure 1),has long been recognized as a barrier for gene discovery.Along with recent advancements in the acquisition of genomic information of bread wheat(Xiao et al.,2022),however,increasing evidence suggests that these genomic features offer great potential for both generating and conserving specific genic resources,in particular those pertaining to abiotic stress tolerance.展开更多
In a recent study published in Nature Biotechnology,Mohammad Ghazi Vakili et al.applied quantum computing and generative machine learning-specifically Quantum Circuit Born Machines(QCBMs)and Long Short-Term Memory(LST...In a recent study published in Nature Biotechnology,Mohammad Ghazi Vakili et al.applied quantum computing and generative machine learning-specifically Quantum Circuit Born Machines(QCBMs)and Long Short-Term Memory(LSTM)networks—to efficiently explore high-dimensional chemical space and identify structurally novel KRAs inhibitors.This research highlights how quantum-enhanced Al(artificial intelligence),when supported by substantial pre-existing data,can contribute to the discovery of inhibitors for challenging targets such as KRAs.展开更多
基金supported by the National Key Research and Development Program of China(2023YFF1002200 and 2022YFD1900704-7)the Natural Science Foundation of Jiangsu Province,China(BK20250114)+3 种基金the National Natural Science Foundation of China(32072064)the Major Program of State Key Laboratory of Soil and Sustainable Agriculture(SKLSSA2503)the Science and Technology Demonstration Project of Shandong Province(2024SFGC0402)the Youth Innovation Promotion Association of the Chinese Academy of Sciences(2022314).
文摘The large and complex genome of bread wheat,characterized by hexaploidy and a high proportion of repetitive elements(Figure 1),has long been recognized as a barrier for gene discovery.Along with recent advancements in the acquisition of genomic information of bread wheat(Xiao et al.,2022),however,increasing evidence suggests that these genomic features offer great potential for both generating and conserving specific genic resources,in particular those pertaining to abiotic stress tolerance.
基金supported by the KRIBB Research Initiative Program(KGM4252533,KGM5162524)supported by a Korea Basic Science Institute grant(H.J.C.,AC202402).
文摘In a recent study published in Nature Biotechnology,Mohammad Ghazi Vakili et al.applied quantum computing and generative machine learning-specifically Quantum Circuit Born Machines(QCBMs)and Long Short-Term Memory(LSTM)networks—to efficiently explore high-dimensional chemical space and identify structurally novel KRAs inhibitors.This research highlights how quantum-enhanced Al(artificial intelligence),when supported by substantial pre-existing data,can contribute to the discovery of inhibitors for challenging targets such as KRAs.
