Pancreatic adenocarcinoma(PAAD)is notorious for its limited treatment options and dismal prognosis,un-derscoring an urgent need for innovative therapeutic strategies.This study leverages advanced bioinformatics and a ...Pancreatic adenocarcinoma(PAAD)is notorious for its limited treatment options and dismal prognosis,un-derscoring an urgent need for innovative therapeutic strategies.This study leverages advanced bioinformatics and a novel ChatGPT-4o evaluation framework to identify and validate SRC kinase as a significant drug target for PAAD.Initial bioinformatics screening illustrated SRC’s critical involvement in essential signaling pathways associated with the disease.Subsequently,the ChatGPT-4o framework provided an unbiased,efficient evalua-tion,emphasizing SRC’s role in disease mechanisms.Our findings reveal substantial overexpression of SRC in PAAD compared to normal pancreatic tissue,with expression levels escalating in line with tumor grade and stage.Protein expression analysis using the Human Protein Atlas dataset showed a statistically significant dif-ference between PAAD samples and normal samples for SRC(P<1×10^(-15)).Survival analysis using the Kaplan-Meier Plotter dataset further demonstrates a strong association between high SRC expression and reduced survival,with hazard ratios of 1.45(P<7.69×10^(-3))for overall survival and 2.15(P<9.19×10^(-5))for disease free survival in advanced disease stages.SRC's involvement in key oncogenic pathways suggests its potential as part of combination therapies,enhancing the efficacy of existing treatments by targeting complementary me-chanisms.This study shows the therapeutic relevance of SRC and demonstrates the effectiveness of combining innovative AI technologies with traditional bioinformatics to accelerate the discovery and validation of critical drug targets in oncology.展开更多
植物图片包含植物生境、物种组成、形态特征、物候等相关信息,是野外调查和植物记录的重要资料。无人机可按照设定程序定时、定航线拍摄植物,获取植物图片拍摄地的精准位置信息,进而实现周期化的植物拍摄和调查。本图片数据集系于2022–...植物图片包含植物生境、物种组成、形态特征、物候等相关信息,是野外调查和植物记录的重要资料。无人机可按照设定程序定时、定航线拍摄植物,获取植物图片拍摄地的精准位置信息,进而实现周期化的植物拍摄和调查。本图片数据集系于2022–2023年在内蒙古呼伦贝尔湿润草原、锡林浩特典型草原、鄂尔多斯干旱草原选地,依照《草地植物多样性无人机调查技术规范》(T/CSES 123-2023)团体标准,以DJI MINI 3 PRO无人机采集而来,并以人工框选和鉴定为主、目标检测和智能识别模型处理为辅的方式进行了图像中的植物框选和鉴定。本数据集包含了19科32属40种植物的4000幅图片、植物物种名称、植物科属信息、采集时间、采集点海拔、经纬度。本数据集可以为相关草地植物的形态、分布、物候等信息检索以及智能识别模型构建提供数据支撑。展开更多
基金supported by the National Institute of Health Center grant awards(U54TR001005)to Dr.Jake Y.Chen,in which he serves as a co-investigator,a research start-up fund provided by the University of Alabama at Birmingham(UAB)to Dr.Chen and the UAB Systems Pharmacology AI Research Center grant to Dr.Chen.
文摘Pancreatic adenocarcinoma(PAAD)is notorious for its limited treatment options and dismal prognosis,un-derscoring an urgent need for innovative therapeutic strategies.This study leverages advanced bioinformatics and a novel ChatGPT-4o evaluation framework to identify and validate SRC kinase as a significant drug target for PAAD.Initial bioinformatics screening illustrated SRC’s critical involvement in essential signaling pathways associated with the disease.Subsequently,the ChatGPT-4o framework provided an unbiased,efficient evalua-tion,emphasizing SRC’s role in disease mechanisms.Our findings reveal substantial overexpression of SRC in PAAD compared to normal pancreatic tissue,with expression levels escalating in line with tumor grade and stage.Protein expression analysis using the Human Protein Atlas dataset showed a statistically significant dif-ference between PAAD samples and normal samples for SRC(P<1×10^(-15)).Survival analysis using the Kaplan-Meier Plotter dataset further demonstrates a strong association between high SRC expression and reduced survival,with hazard ratios of 1.45(P<7.69×10^(-3))for overall survival and 2.15(P<9.19×10^(-5))for disease free survival in advanced disease stages.SRC's involvement in key oncogenic pathways suggests its potential as part of combination therapies,enhancing the efficacy of existing treatments by targeting complementary me-chanisms.This study shows the therapeutic relevance of SRC and demonstrates the effectiveness of combining innovative AI technologies with traditional bioinformatics to accelerate the discovery and validation of critical drug targets in oncology.
文摘植物图片包含植物生境、物种组成、形态特征、物候等相关信息,是野外调查和植物记录的重要资料。无人机可按照设定程序定时、定航线拍摄植物,获取植物图片拍摄地的精准位置信息,进而实现周期化的植物拍摄和调查。本图片数据集系于2022–2023年在内蒙古呼伦贝尔湿润草原、锡林浩特典型草原、鄂尔多斯干旱草原选地,依照《草地植物多样性无人机调查技术规范》(T/CSES 123-2023)团体标准,以DJI MINI 3 PRO无人机采集而来,并以人工框选和鉴定为主、目标检测和智能识别模型处理为辅的方式进行了图像中的植物框选和鉴定。本数据集包含了19科32属40种植物的4000幅图片、植物物种名称、植物科属信息、采集时间、采集点海拔、经纬度。本数据集可以为相关草地植物的形态、分布、物候等信息检索以及智能识别模型构建提供数据支撑。
