Protein misfolding and aggregation are crucial pathogenic factors for cataracts,which are the leading cause of visual impairment worldwide.α-crystallin,as a small molecular chaperone,is involved in preventing protein...Protein misfolding and aggregation are crucial pathogenic factors for cataracts,which are the leading cause of visual impairment worldwide.α-crystallin,as a small molecular chaperone,is involved in preventing protein misfolding and maintaining lens transparency.The chaperone activity of α-crystallin depends on its oligomeric state.Our previous work identified a natural compound,celastrol,which could regulate the oligomeric state of αB-crystallin.In this work,based on the UNcle and SEC analysis,we found that celastrol induced𝛼αB-crystallin to form large oligomers.Large oligomer formation enhanced the chaperone activity of αB-crystallin and prevented aggregation of the cataract-causing mutant αA3-G91del.The interactions between𝛼αB-crystallin and celastrol were detected by the FRET(Fluorescence Resonance Energy Transfer)technique,and verified by molecular docking.At least 9 binding patterns were recognized,and some binding sites covered the groove structure of αB-crystallin.Interestingly,αB-R120G,a cataract-causing mutation located at the groove structure,and celastrol can decrease the aggregates of αB-R120G.Overall,our results suggested celastrol not only promoted the formation of large αB-crystallin oligomers,which enhanced its chaperone activity,but also bound to the groove structure of its α-crystallin domain to maintain its structural stability.Celastrol might serve as a chemical and pharmacological chaperone for cataract treatment.展开更多
Radio spectrum awareness,including understanding radio signal activities,is crucial for improving spectrum utilization,detecting security vulnerabilities,and supporting adaptive transmissions.Related tasks include spe...Radio spectrum awareness,including understanding radio signal activities,is crucial for improving spectrum utilization,detecting security vulnerabilities,and supporting adaptive transmissions.Related tasks include spectrum sensing,identifying systems and terminals,and understanding various protocol layers.In this paper,we investigate various identification and classification tasks related to fading channel parameters,signal distortions,Medium Access Control(MAC)protocols,radio signal types,and cellular systems.Specifically,we utilize deep learning methods in those identification and classification tasks.Performance evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.展开更多
基金supported by the National Natural Science Foundation of China(31872724,and 81900837)the Natural Science Foundation of Zhejiang Province(LR21H120001).
文摘Protein misfolding and aggregation are crucial pathogenic factors for cataracts,which are the leading cause of visual impairment worldwide.α-crystallin,as a small molecular chaperone,is involved in preventing protein misfolding and maintaining lens transparency.The chaperone activity of α-crystallin depends on its oligomeric state.Our previous work identified a natural compound,celastrol,which could regulate the oligomeric state of αB-crystallin.In this work,based on the UNcle and SEC analysis,we found that celastrol induced𝛼αB-crystallin to form large oligomers.Large oligomer formation enhanced the chaperone activity of αB-crystallin and prevented aggregation of the cataract-causing mutant αA3-G91del.The interactions between𝛼αB-crystallin and celastrol were detected by the FRET(Fluorescence Resonance Energy Transfer)technique,and verified by molecular docking.At least 9 binding patterns were recognized,and some binding sites covered the groove structure of αB-crystallin.Interestingly,αB-R120G,a cataract-causing mutation located at the groove structure,and celastrol can decrease the aggregates of αB-R120G.Overall,our results suggested celastrol not only promoted the formation of large αB-crystallin oligomers,which enhanced its chaperone activity,but also bound to the groove structure of its α-crystallin domain to maintain its structural stability.Celastrol might serve as a chemical and pharmacological chaperone for cataract treatment.
文摘Radio spectrum awareness,including understanding radio signal activities,is crucial for improving spectrum utilization,detecting security vulnerabilities,and supporting adaptive transmissions.Related tasks include spectrum sensing,identifying systems and terminals,and understanding various protocol layers.In this paper,we investigate various identification and classification tasks related to fading channel parameters,signal distortions,Medium Access Control(MAC)protocols,radio signal types,and cellular systems.Specifically,we utilize deep learning methods in those identification and classification tasks.Performance evaluations demonstrate the effectiveness of deep learning in those radio spectrum awareness tasks.
