The automatic stealth task of military time-sensitive targets plays a crucial role in maintaining national military security and mastering battlefield dynamics in military applications.We propose a novel Military Time...The automatic stealth task of military time-sensitive targets plays a crucial role in maintaining national military security and mastering battlefield dynamics in military applications.We propose a novel Military Time-sensitive Targets Stealth Network via Real-time Mask Generation(MTTSNet).According to our knowledge,this is the first technology to automatically remove military targets in real-time from videos.The critical steps of MTTSNet are as follows:First,we designed a real-time mask generation network based on the encoder-decoder framework,combined with the domain expansion structure,to effectively extract mask images.Specifically,the ASPP structure in the encoder could achieve advanced semantic feature fusion.The decoder stacked high-dimensional information with low-dimensional information to obtain an effective mask layer.Subsequently,the domain expansion module guided the adaptive expansion of mask images.Second,a context adversarial generation network based on gated convolution was constructed to achieve background restoration of mask positions in the original image.In addition,our method worked in an end-to-end manner.A particular semantic segmentation dataset for military time-sensitive targets has been constructed,called the Military Time-sensitive Target Masking Dataset(MTMD).The MTMD dataset experiment successfully demonstrated that this method could create a mask that completely occludes the target and that the target could be hidden in real time using this mask.We demonstrated the concealment performance of our proposed method by comparing it to a number of well-known and highly optimized baselines.展开更多
The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution networks.However,the increasing complexity of distribution networks and the associated growth in ...The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution networks.However,the increasing complexity of distribution networks and the associated growth in data size have created a significant challenge for distribution network planners.To address this issue,we propose a fast N-1 verification procedure for urban distribution networks that combines CIM file data analysis with MILP-based mathematical modeling.Our proposed method leverages the principles of CIM file analysis for distribution network N-1 analysis.We develop a mathematical model of distribution networks based on CIM data and transfer it into MILP.We also take into account the characteristics of medium voltage distribution networks after a line failure and select the feeder section at the exit of each substation with a high load rate to improve the efficiency of N-1 analysis.We validate our approach through a series of case studies and demonstrate its scalability and superiority over traditional N-1 analysis and heuristic optimization algorithms.By enabling online N-1 analysis,our approach significantly improves the work efficiency of distribution network planners.In summary,our proposed method provides a valuable tool for distribution network planners to enhance the accuracy and efficiency of their N-1 analyses.By leveraging the advantages of CIM file data analysis and MILP-based mathematical modeling,our approach contributes to the development of more resilient and reliable electric power distribution networks.展开更多
Background:1,2,3,4,6-penta-O-galloyl-beta-D-glucose(PGG)is a natural polyphenolic compound derived from multiple medicinal plants with favorable anticancer activity.Methods:In this study,the mechanisms of PGG against ...Background:1,2,3,4,6-penta-O-galloyl-beta-D-glucose(PGG)is a natural polyphenolic compound derived from multiple medicinal plants with favorable anticancer activity.Methods:In this study,the mechanisms of PGG against gastric cancer were explored through network pharmacology and molecular docking.First,the targets of PGG were searched in the Herbal Ingredients’Targets(HIT),Similarity Ensemble Approach(SEA),and Super-PRED databases.The potential targets related to gastric cancer were predicted from the Human Gene Database(GeneCards)and DisGeNET databases.The intersecting targets of PGG and gastric cancer were obtained by Venn diagram and then subjected to protein-protein interaction analysis to screen hub targets.Functional and pathway enrichment of hub targets were analyzed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway databases.The differential expression and survival analysis of hub targets in gastric cancer were performed based on The Cancer Genome Atlas database.Finally,the affinity of PGG with hub targets was visualized by molecular docking.Results:Three hub targets were screened,including mitogen-activated protein kinase 14(MAPK14),BCL2 like 1(BCL2L1),and vascular endothelial growth factor A(VEGFA).MAPK14 had a higher expression,while BCL2L1 and VEGFA had lower expression in gastric cancer than in normal conditions.Enrichment analysis indicated enrichment of these hub targets in MAPK,neurotrophin,programmed death-ligand 1(PD-L1)checkpoint,phosphatidylinositol 3-kinases/protein kinase B(PI3K-Akt),Ras,and hypoxia-inducible factor-1(HIF-1)signaling pathways.Conclusion:Therefore,network pharmacology and molecular docking analyses revealed that PGG exerts a therapeutic efficacy on gastric cancer by multiple targets(MAPK14,BCL2L1,and VEGFA)and pathways(MAPK,PD-L1 checkpoint,PI3K-Akt,Ras,and HIF-1 pathways).展开更多
Background:Jinqi Jiangtang tablets(JQJT)have been approved for the treatment of type 2 diabetes mellitus(T2DM)in China for many years.Exploring the effective substances and mechanisms of JQJT is important for its clin...Background:Jinqi Jiangtang tablets(JQJT)have been approved for the treatment of type 2 diabetes mellitus(T2DM)in China for many years.Exploring the effective substances and mechanisms of JQJT is important for its clinical application and further drug research and development.This study aimed to explore the chemical basis and mechanisms of JQJT in the treatment of T2DM.Methods:With network pharmacology,we screened substances in JQJT and their possible targets,then constructed the action network and enriched the biological functions and pathways associated with the active components,and identified the potential targets and mechanisms of JQJT in the treatment of T2DM.Based on the network pharmacology data,we explored the hypoglycemic mechanisms of coptisine in JQJT through western blot and quantitative real-time polymerase chain reaction.Results:Forty-three compounds with good pharmacokinetic properties were identified in JQJT,together with 146 potential biological targets.Among these potential targets,74 were associated with treatment of T2DM.A compound-target network of the 43 compounds against T2DM was constructed.Biological process and signal pathway enrichment analysis of the network highlighted the FoxO signaling pathway.Western blot and quantitative real-time polymerase chain reaction results showed that coptisine,but not epiberberine,significantly inhibited expression of key genes involved in hepatocyte gluconeogenesis by regulating the FoxO1 signaling pathway.Conclusion:Network pharmacology analysis and cell experiments showed that coptisine regulated glucose homeostasis by inhibiting the FoxO1 signaling pathway and hepatic gluconeogenesis,which may be one of the mechanisms of JQJT in the treatment of T2DM.展开更多
Background:The purpose of the study was to investigatethe active ingredients and potential biochemicalmechanisms of Simiao Wan(SMW)in obesity-associated insulin resistance.Methods:An integrated network pharmacology me...Background:The purpose of the study was to investigatethe active ingredients and potential biochemicalmechanisms of Simiao Wan(SMW)in obesity-associated insulin resistance.Methods:An integrated network pharmacology method to screen the active compoundsand candidate targets,construct the protein-protein-interaction network,and ingredients-targets-pathways network was constructed for topological analysis to identify core targets and main ingredients.To find the possible signaling pathways,enrichment analysis was performed.Further,a model of insulin resistance in HL-7702 cells was established to verify the impact of SMW and the regulatory processes.Results:An overall of 63 active components and 151 candidate targets were obtained,in which flavonoids were the main ingredients.Enrichment analysis indicated that the PI3K-Akt signaling pathway was the potential pathway regulated by SMW in obesity-associated insulin resistance treatment.The result showed that SMW could significantly ameliorate insulin sensitivity,increase glucose synthesis and glucose utilization and reduce intracellular lipids accumulation in hepatocytes.Also,SMW inhibited diacylglycerols accumulation-induced PKCεactivity and decreased its translocation to the membrane.Conclusion:SMW ameliorated obesity-associated insulin resistance through PKCε/IRS-1/PI3K/Akt signaling axis in hepatocytes,providing a new strategy for metabolic disease treatment.展开更多
One of the major challenges arising in internet of military things(IoMT)is accommodating massive connectivity while providing guaranteed quality of service(QoS)in terms of ultra-high reliability.In this regard,this pa...One of the major challenges arising in internet of military things(IoMT)is accommodating massive connectivity while providing guaranteed quality of service(QoS)in terms of ultra-high reliability.In this regard,this paper presents a class of code-domain nonorthogonal multiple accesses(NOMAs)for uplink ultra reliable networking of massive IoMT based on tactical datalink such as Link-16 and joint tactical information distribution system(JTIDS).In the considered scenario,a satellite equipped with Nr antennas servers K devices including vehicles,drones,ships,sensors,handset radios,etc.Nonorthogonal coded modulation,a special form of multiple input multiple output(MIMO)-NOMA is proposed.The discussion starts with evaluating the output signal to interference-plus-noise(SINR)of receiver filter,leading to the unveiling of a closed-form expression for overloading systems as the number of users is significantly larger than the number of devices admitted such that massive connectivity is rendered.The expression allows for the development of simple yet successful interference suppression based on power allocation and phase shaping techniques that maximizes the sum rate since it is equivalent to fixed-point programming as can be proved.The proposed design is exemplified by nonlinear modulation schemes such as minimum shift keying(MSK)and Gaussian MSK(GMSK),two pivotal modulation formats in IoMT standards such as Link-16 and JITDS.Numerical results show that near capacity performance is offered.Fortunately,the performance is obtained using simple forward error corrections(FECs)of higher coding rate than existing schemes do,while the transmit power is reduced by 6 dB.The proposed design finds wide applications not only in IoMT but also in deep space communications,where ultra reliability and massive connectivity is a keen concern.展开更多
Background:Traditional Chinese medicine is promising for managing challenging and complex disorders,including cancer,and in particular,saffron is applied in treating various cancer types.However,its potential therapeu...Background:Traditional Chinese medicine is promising for managing challenging and complex disorders,including cancer,and in particular,saffron is applied in treating various cancer types.However,its potential therapeutic efficacy and active components in managing squamous cell carcinoma of the head and neck(HNSCC)remain unclear yet.Methods:Using network pharmacology approaches,active ingredients of saffron,their target genes,and HNSCC-related genes were identified.Enrichment analyses were conducted for determining molecular functions and pathways enriched by genes that overlapped between the saffron target gene set and the HNSCC gene set.Among the four known active ingredients of saffron,crocetin was found to have the strongest inhibitory impact on HNSCC,based on the findings of cell viability and migration assays.Therefore,the potential target genes of crocetin in HNSCC cells were examined using molecular docking experiments and were confirmed by qPCR.Result s:Four active ingredients of saffron and 184 of their target genes were identified.Further,a total of 34 overlapping saffron-/HNSCC-associated targets related to the four active ingredients were screened,and crocetin was chosen for further investigation because it had the strongest inhibitory effect on HNSCC cells.Molecular docking experiments indicated that ESR1 and CCND1 were the target genes of crocetin.These results were confirmed through qPCR analysis,in which crocetin was found to lower the expression of the ESR1 and CCND1 genes in AMC-HN-8 and FaDu cells.Conclusion:According to our results,crocetin is a primary active anti-cancer component of saffron that may have potential in the development of novel HNSCC-treating medications.However,more thorough molecular research is necessary for confirming these results and elucidating the anti-cancer mechanism underlying saffron.展开更多
Objective:To study the drug activity and therapeutic targets of Niga-ichigoside F1 predicted based on network pharmacology and molecular docking.Methods:Download the 2D and 3D structures of Niga-ichigoside F1 from the...Objective:To study the drug activity and therapeutic targets of Niga-ichigoside F1 predicted based on network pharmacology and molecular docking.Methods:Download the 2D and 3D structures of Niga-ichigoside F1 from the PubChem database for target prediction and molecular docking,respectively.Target information was predicted by PharmMapper and swiss ADME databases,target gene names were extracted and rechecked by Uniprot database,and disease information corresponding to target was queried by TTD database.The enrichment analysis of GO and KEGG signal pathway was conducted by Metascape database.AutoDuck Vina was used for molecular docking of Niga-ichigoside F1 3D structure with key proteins of related diseases and common pathways.Finally,the conformation of molecular docking was visualized by PyMOL.Results:A total of 34 targets and 69 related disease information were obtained from the database screening.The targets with high degree of acquisition of the association network between target and disease were AR,F2,VDR,PDE10A,mTOR,and NR3C2,etc..Diseases with a high degree of relief were solid tumour,breast cancer, acute myeloid leukemia, hypertension, and thrombocytopenia,etc..The items with significance in GO analysis included positive regulation of transferase activity,protein autophosphorylation,negative regulation of cGMP-mediated signaling,intracellular receptor signaling pathway,regulation of cellular response to stress,blood vessel development,reactive oxygen species metabolic process,negative regulation of immune response,regulation of transcription from RNA polymerase Ⅱ promoter in response to stress,and nucleobase-containing small molecule metabolic process,etc..The items with significance in KEGG enrichment analysis(P<0.01) included Pathways in cancer,Purine metabolism,Focal adhesion,MAPK signaling pathway,GnRH signaling pathway,AGE-RAGE signaling pathway in diabetic complications,Ras signaling pathway,Leukocyte transendothelial migration and Platelet activation,etc..Molecular docking suggested that the target of Niga-ichigoside F1 had good binding ability with related diseases and key proteins of common pathways.Conclusion:According to the results of network pharmacology and molecular docking,Niga-ichigoside F1 has rich drug activity and may act on a variety of diseases.After comprehensive analysis, we proposed for the first time the high correlation between Niga-ichigoside F1 and cancer,as well as the possible association with acute myeloid leukemia and hypertension.It has the characteristics of multi-target and multi-pathway,which is worthy of further research,development and utilization.展开更多
Background:To initially clarify the potential therapeutic targets and pharmacological mechanism regarding Gualou Qumai Wan(GQW),a kind of traditional Chinese medicine(TCM),in clear cell renal cell carcinoma(ccRCC)by v...Background:To initially clarify the potential therapeutic targets and pharmacological mechanism regarding Gualou Qumai Wan(GQW),a kind of traditional Chinese medicine(TCM),in clear cell renal cell carcinoma(ccRCC)by virtue of the network pharmacology analysis and molecular docking analysis.Methods:The screening of bioactive components and targets of GQW was based on the Traditional Chinese Medicine System Pharmacology(TCMSP)and the UniProt platform served for standardizing their targets.Online Mendelian Inheritance in Man(OMIM),PharmGkb,TTD,DrugBank and GeneCards databases were searched to collect the disease targets of ccRCC.Cytoscape assisted in constructing herb-compound-target(H-C-T)networks.The STRING database was searched for constructing the target protein-protein interaction(PPI)networks,while the R programming language served for analyzing GO functional terms and the KEGG pathways related to potential targets.Analyses of core genes related to survival and tumor microenvironment(TME)were conducted respectively based on the GEPIA2 database and TIMER 2.0 database.Human Protein Atlas(HPA)and The Cancer Genome Atlas(TCGA)helped to obtain core genes’protein expression as well as transcriptome expression level.Autodock Vina software validated the molecular docking regarding GQW components and pivotal targets.Results:The constructed H-C-T networks mainly had 33 compounds and 65 targets.A topological analysis of the PPI network identified that ESR1,AKT1,HIF1A,PTGS2,TP53 and VEGFA serve as core targets in the way GQW affects ccRCC.According to the GO and KEGG pathway enrichment analyses,the effects of GQW are mediated by genes related to hypoxia and oxidative stress as well as the Chemical carcinogenesis-receptor activation and PI3K-Akt signaling pathways.AKT1 shows a close relation to the recruitment of various immune cells and can remarkably affect disease prognosis according to reports.Molecular docking and molecular dynamics simulations showed that diosgenin has higher affinity with core targets.Conclusion:The study makes a comprehensive explanation of the biological activity,potential targets,as well as molecular mechanism regarding GQW against ccRCC,which promisingly assists in revealing the action mechanism of TCM formulae in disease treatment and the respective and scientific basis.展开更多
基金supported in part by the National Natural Science Foundation of China(Grant No.62276274)Shaanxi Natural Science Foundation(Grant No.2023-JC-YB-528)Chinese aeronautical establishment(Grant No.201851U8012)。
文摘The automatic stealth task of military time-sensitive targets plays a crucial role in maintaining national military security and mastering battlefield dynamics in military applications.We propose a novel Military Time-sensitive Targets Stealth Network via Real-time Mask Generation(MTTSNet).According to our knowledge,this is the first technology to automatically remove military targets in real-time from videos.The critical steps of MTTSNet are as follows:First,we designed a real-time mask generation network based on the encoder-decoder framework,combined with the domain expansion structure,to effectively extract mask images.Specifically,the ASPP structure in the encoder could achieve advanced semantic feature fusion.The decoder stacked high-dimensional information with low-dimensional information to obtain an effective mask layer.Subsequently,the domain expansion module guided the adaptive expansion of mask images.Second,a context adversarial generation network based on gated convolution was constructed to achieve background restoration of mask positions in the original image.In addition,our method worked in an end-to-end manner.A particular semantic segmentation dataset for military time-sensitive targets has been constructed,called the Military Time-sensitive Target Masking Dataset(MTMD).The MTMD dataset experiment successfully demonstrated that this method could create a mask that completely occludes the target and that the target could be hidden in real time using this mask.We demonstrated the concealment performance of our proposed method by comparing it to a number of well-known and highly optimized baselines.
基金supported by the National Natural Science Foundation of China(52207105)。
文摘The N-1 criterion is a critical factor for ensuring the reliable and resilient operation of electric power distribution networks.However,the increasing complexity of distribution networks and the associated growth in data size have created a significant challenge for distribution network planners.To address this issue,we propose a fast N-1 verification procedure for urban distribution networks that combines CIM file data analysis with MILP-based mathematical modeling.Our proposed method leverages the principles of CIM file analysis for distribution network N-1 analysis.We develop a mathematical model of distribution networks based on CIM data and transfer it into MILP.We also take into account the characteristics of medium voltage distribution networks after a line failure and select the feeder section at the exit of each substation with a high load rate to improve the efficiency of N-1 analysis.We validate our approach through a series of case studies and demonstrate its scalability and superiority over traditional N-1 analysis and heuristic optimization algorithms.By enabling online N-1 analysis,our approach significantly improves the work efficiency of distribution network planners.In summary,our proposed method provides a valuable tool for distribution network planners to enhance the accuracy and efficiency of their N-1 analyses.By leveraging the advantages of CIM file data analysis and MILP-based mathematical modeling,our approach contributes to the development of more resilient and reliable electric power distribution networks.
基金supported by the Natural Science Foundation of Gansu Province[Grant Numbers 22JR5RA930,22JR5RA894]the Talent Project of Lanzhou Science and Technology Bureau[Grant Number 2022-3-44]+1 种基金the projects managed by the Administration of Traditional Chinese Medicine[Grant Number GZKG-2022-54]Intra Hospital Fund of the First Hospital of Lanzhou University[Grant Number ldyyyn2021101].
文摘Background:1,2,3,4,6-penta-O-galloyl-beta-D-glucose(PGG)is a natural polyphenolic compound derived from multiple medicinal plants with favorable anticancer activity.Methods:In this study,the mechanisms of PGG against gastric cancer were explored through network pharmacology and molecular docking.First,the targets of PGG were searched in the Herbal Ingredients’Targets(HIT),Similarity Ensemble Approach(SEA),and Super-PRED databases.The potential targets related to gastric cancer were predicted from the Human Gene Database(GeneCards)and DisGeNET databases.The intersecting targets of PGG and gastric cancer were obtained by Venn diagram and then subjected to protein-protein interaction analysis to screen hub targets.Functional and pathway enrichment of hub targets were analyzed through Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway databases.The differential expression and survival analysis of hub targets in gastric cancer were performed based on The Cancer Genome Atlas database.Finally,the affinity of PGG with hub targets was visualized by molecular docking.Results:Three hub targets were screened,including mitogen-activated protein kinase 14(MAPK14),BCL2 like 1(BCL2L1),and vascular endothelial growth factor A(VEGFA).MAPK14 had a higher expression,while BCL2L1 and VEGFA had lower expression in gastric cancer than in normal conditions.Enrichment analysis indicated enrichment of these hub targets in MAPK,neurotrophin,programmed death-ligand 1(PD-L1)checkpoint,phosphatidylinositol 3-kinases/protein kinase B(PI3K-Akt),Ras,and hypoxia-inducible factor-1(HIF-1)signaling pathways.Conclusion:Therefore,network pharmacology and molecular docking analyses revealed that PGG exerts a therapeutic efficacy on gastric cancer by multiple targets(MAPK14,BCL2L1,and VEGFA)and pathways(MAPK,PD-L1 checkpoint,PI3K-Akt,Ras,and HIF-1 pathways).
基金the Fundamental Research Funds for the Central Universities(grant number:2021-JYB-XJSJJ-003)the Open Project of State Key Laboratory of Bioactive Substance and Function of Natural Medicines(grant number:GTZK202108)+1 种基金Chinese Society of Toxicology(grant number:CST2021CT101)Discipline Construction Project of Peking Union Medical College(grant number:201920200801).
文摘Background:Jinqi Jiangtang tablets(JQJT)have been approved for the treatment of type 2 diabetes mellitus(T2DM)in China for many years.Exploring the effective substances and mechanisms of JQJT is important for its clinical application and further drug research and development.This study aimed to explore the chemical basis and mechanisms of JQJT in the treatment of T2DM.Methods:With network pharmacology,we screened substances in JQJT and their possible targets,then constructed the action network and enriched the biological functions and pathways associated with the active components,and identified the potential targets and mechanisms of JQJT in the treatment of T2DM.Based on the network pharmacology data,we explored the hypoglycemic mechanisms of coptisine in JQJT through western blot and quantitative real-time polymerase chain reaction.Results:Forty-three compounds with good pharmacokinetic properties were identified in JQJT,together with 146 potential biological targets.Among these potential targets,74 were associated with treatment of T2DM.A compound-target network of the 43 compounds against T2DM was constructed.Biological process and signal pathway enrichment analysis of the network highlighted the FoxO signaling pathway.Western blot and quantitative real-time polymerase chain reaction results showed that coptisine,but not epiberberine,significantly inhibited expression of key genes involved in hepatocyte gluconeogenesis by regulating the FoxO1 signaling pathway.Conclusion:Network pharmacology analysis and cell experiments showed that coptisine regulated glucose homeostasis by inhibiting the FoxO1 signaling pathway and hepatic gluconeogenesis,which may be one of the mechanisms of JQJT in the treatment of T2DM.
基金supported by the National Natural Science Foundation of China(81903871)Natural Science Foundation of Jiangsu Province(BK20190565)+1 种基金Fundamental Research Funds for the Central Universities(2632021ZD16)Zhenjiang City 2022 Science and Technology Innovation Fund(SH2022084).
文摘Background:The purpose of the study was to investigatethe active ingredients and potential biochemicalmechanisms of Simiao Wan(SMW)in obesity-associated insulin resistance.Methods:An integrated network pharmacology method to screen the active compoundsand candidate targets,construct the protein-protein-interaction network,and ingredients-targets-pathways network was constructed for topological analysis to identify core targets and main ingredients.To find the possible signaling pathways,enrichment analysis was performed.Further,a model of insulin resistance in HL-7702 cells was established to verify the impact of SMW and the regulatory processes.Results:An overall of 63 active components and 151 candidate targets were obtained,in which flavonoids were the main ingredients.Enrichment analysis indicated that the PI3K-Akt signaling pathway was the potential pathway regulated by SMW in obesity-associated insulin resistance treatment.The result showed that SMW could significantly ameliorate insulin sensitivity,increase glucose synthesis and glucose utilization and reduce intracellular lipids accumulation in hepatocytes.Also,SMW inhibited diacylglycerols accumulation-induced PKCεactivity and decreased its translocation to the membrane.Conclusion:SMW ameliorated obesity-associated insulin resistance through PKCε/IRS-1/PI3K/Akt signaling axis in hepatocytes,providing a new strategy for metabolic disease treatment.
基金supported in part by the National Natural Science Foundation of China(Grant Nos.61601346 and 62377039)the Natural Science Basic Research Plan in Shaanxi Province of China(Grant No.2018JQ6044)+2 种基金the Ministry of Industry and Information Technology of the People's Republic of China(Grant No.2023-276-1-1)the Fundamental Research Funds for the Central Universities,Northwestern Polytechnical University(Grant No.31020180QD089)the Aeronautical Science Foundation of China(Grant Nos.20200043053004 and 20200043053005)。
文摘One of the major challenges arising in internet of military things(IoMT)is accommodating massive connectivity while providing guaranteed quality of service(QoS)in terms of ultra-high reliability.In this regard,this paper presents a class of code-domain nonorthogonal multiple accesses(NOMAs)for uplink ultra reliable networking of massive IoMT based on tactical datalink such as Link-16 and joint tactical information distribution system(JTIDS).In the considered scenario,a satellite equipped with Nr antennas servers K devices including vehicles,drones,ships,sensors,handset radios,etc.Nonorthogonal coded modulation,a special form of multiple input multiple output(MIMO)-NOMA is proposed.The discussion starts with evaluating the output signal to interference-plus-noise(SINR)of receiver filter,leading to the unveiling of a closed-form expression for overloading systems as the number of users is significantly larger than the number of devices admitted such that massive connectivity is rendered.The expression allows for the development of simple yet successful interference suppression based on power allocation and phase shaping techniques that maximizes the sum rate since it is equivalent to fixed-point programming as can be proved.The proposed design is exemplified by nonlinear modulation schemes such as minimum shift keying(MSK)and Gaussian MSK(GMSK),two pivotal modulation formats in IoMT standards such as Link-16 and JITDS.Numerical results show that near capacity performance is offered.Fortunately,the performance is obtained using simple forward error corrections(FECs)of higher coding rate than existing schemes do,while the transmit power is reduced by 6 dB.The proposed design finds wide applications not only in IoMT but also in deep space communications,where ultra reliability and massive connectivity is a keen concern.
基金the Taishan Scholar Project(No.ts20190991)the Key R&D Project of Shandong Province(2022CXPT023)。
文摘Background:Traditional Chinese medicine is promising for managing challenging and complex disorders,including cancer,and in particular,saffron is applied in treating various cancer types.However,its potential therapeutic efficacy and active components in managing squamous cell carcinoma of the head and neck(HNSCC)remain unclear yet.Methods:Using network pharmacology approaches,active ingredients of saffron,their target genes,and HNSCC-related genes were identified.Enrichment analyses were conducted for determining molecular functions and pathways enriched by genes that overlapped between the saffron target gene set and the HNSCC gene set.Among the four known active ingredients of saffron,crocetin was found to have the strongest inhibitory impact on HNSCC,based on the findings of cell viability and migration assays.Therefore,the potential target genes of crocetin in HNSCC cells were examined using molecular docking experiments and were confirmed by qPCR.Result s:Four active ingredients of saffron and 184 of their target genes were identified.Further,a total of 34 overlapping saffron-/HNSCC-associated targets related to the four active ingredients were screened,and crocetin was chosen for further investigation because it had the strongest inhibitory effect on HNSCC cells.Molecular docking experiments indicated that ESR1 and CCND1 were the target genes of crocetin.These results were confirmed through qPCR analysis,in which crocetin was found to lower the expression of the ESR1 and CCND1 genes in AMC-HN-8 and FaDu cells.Conclusion:According to our results,crocetin is a primary active anti-cancer component of saffron that may have potential in the development of novel HNSCC-treating medications.However,more thorough molecular research is necessary for confirming these results and elucidating the anti-cancer mechanism underlying saffron.
基金National Natural Science Foundation of China(No.82060855)。
文摘Objective:To study the drug activity and therapeutic targets of Niga-ichigoside F1 predicted based on network pharmacology and molecular docking.Methods:Download the 2D and 3D structures of Niga-ichigoside F1 from the PubChem database for target prediction and molecular docking,respectively.Target information was predicted by PharmMapper and swiss ADME databases,target gene names were extracted and rechecked by Uniprot database,and disease information corresponding to target was queried by TTD database.The enrichment analysis of GO and KEGG signal pathway was conducted by Metascape database.AutoDuck Vina was used for molecular docking of Niga-ichigoside F1 3D structure with key proteins of related diseases and common pathways.Finally,the conformation of molecular docking was visualized by PyMOL.Results:A total of 34 targets and 69 related disease information were obtained from the database screening.The targets with high degree of acquisition of the association network between target and disease were AR,F2,VDR,PDE10A,mTOR,and NR3C2,etc..Diseases with a high degree of relief were solid tumour,breast cancer, acute myeloid leukemia, hypertension, and thrombocytopenia,etc..The items with significance in GO analysis included positive regulation of transferase activity,protein autophosphorylation,negative regulation of cGMP-mediated signaling,intracellular receptor signaling pathway,regulation of cellular response to stress,blood vessel development,reactive oxygen species metabolic process,negative regulation of immune response,regulation of transcription from RNA polymerase Ⅱ promoter in response to stress,and nucleobase-containing small molecule metabolic process,etc..The items with significance in KEGG enrichment analysis(P<0.01) included Pathways in cancer,Purine metabolism,Focal adhesion,MAPK signaling pathway,GnRH signaling pathway,AGE-RAGE signaling pathway in diabetic complications,Ras signaling pathway,Leukocyte transendothelial migration and Platelet activation,etc..Molecular docking suggested that the target of Niga-ichigoside F1 had good binding ability with related diseases and key proteins of common pathways.Conclusion:According to the results of network pharmacology and molecular docking,Niga-ichigoside F1 has rich drug activity and may act on a variety of diseases.After comprehensive analysis, we proposed for the first time the high correlation between Niga-ichigoside F1 and cancer,as well as the possible association with acute myeloid leukemia and hypertension.It has the characteristics of multi-target and multi-pathway,which is worthy of further research,development and utilization.
基金supported by Weifang Health Commission Traditional Chinese Medicine Research Project Plan(WFZYY2023-1-004).
文摘Background:To initially clarify the potential therapeutic targets and pharmacological mechanism regarding Gualou Qumai Wan(GQW),a kind of traditional Chinese medicine(TCM),in clear cell renal cell carcinoma(ccRCC)by virtue of the network pharmacology analysis and molecular docking analysis.Methods:The screening of bioactive components and targets of GQW was based on the Traditional Chinese Medicine System Pharmacology(TCMSP)and the UniProt platform served for standardizing their targets.Online Mendelian Inheritance in Man(OMIM),PharmGkb,TTD,DrugBank and GeneCards databases were searched to collect the disease targets of ccRCC.Cytoscape assisted in constructing herb-compound-target(H-C-T)networks.The STRING database was searched for constructing the target protein-protein interaction(PPI)networks,while the R programming language served for analyzing GO functional terms and the KEGG pathways related to potential targets.Analyses of core genes related to survival and tumor microenvironment(TME)were conducted respectively based on the GEPIA2 database and TIMER 2.0 database.Human Protein Atlas(HPA)and The Cancer Genome Atlas(TCGA)helped to obtain core genes’protein expression as well as transcriptome expression level.Autodock Vina software validated the molecular docking regarding GQW components and pivotal targets.Results:The constructed H-C-T networks mainly had 33 compounds and 65 targets.A topological analysis of the PPI network identified that ESR1,AKT1,HIF1A,PTGS2,TP53 and VEGFA serve as core targets in the way GQW affects ccRCC.According to the GO and KEGG pathway enrichment analyses,the effects of GQW are mediated by genes related to hypoxia and oxidative stress as well as the Chemical carcinogenesis-receptor activation and PI3K-Akt signaling pathways.AKT1 shows a close relation to the recruitment of various immune cells and can remarkably affect disease prognosis according to reports.Molecular docking and molecular dynamics simulations showed that diosgenin has higher affinity with core targets.Conclusion:The study makes a comprehensive explanation of the biological activity,potential targets,as well as molecular mechanism regarding GQW against ccRCC,which promisingly assists in revealing the action mechanism of TCM formulae in disease treatment and the respective and scientific basis.
