Human-virus protein-protein interactions(PPIs)play critical roles in viral infection.For example,the spike protein of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)binds primarily to human angiotensinconv...Human-virus protein-protein interactions(PPIs)play critical roles in viral infection.For example,the spike protein of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)binds primarily to human angiotensinconverting enzyme 2(ACE2)protein to infect human cells.Thus,identifying and blocking these PPIs contribute to controlling and preventing viruses.However,wet-lab experiment-based identification of human-virus PPIs is usually expensive,labor-intensive,and time-consuming,which presents the need for computational methods.Many machine-learning methods have been proposed recently and achieved good results in predicting humanvirus PPIs.However,most methods are based on protein sequence features and apply manually extracted features,such as statistical characteristics,phylogenetic profiles,and physicochemical properties.In this work,we present an embedding-based neural framework with convolutional neural network(CNN)and bi-directional long short-term memory unit(Bi-LSTM)architecture,named Emvirus,to predict human-virus PPIs(including human-SARS-CoV-2 PPIs).In addition,we conduct cross-viral experiments to explore the generalization ability of Emvirus.Compared to other feature extraction methods,Emvirus achieves better prediction accuracy.展开更多
目的了解江苏省男男性行为人群(men who have sex with men,MSM)人类免疫缺陷病毒(human immunodeficiency virus,HIV)和梅毒感染状况及影响因素。方法 2015年在江苏省8个地级市招募MSM,并进行问卷调查及实验室检测,采用多因素Logistic...目的了解江苏省男男性行为人群(men who have sex with men,MSM)人类免疫缺陷病毒(human immunodeficiency virus,HIV)和梅毒感染状况及影响因素。方法 2015年在江苏省8个地级市招募MSM,并进行问卷调查及实验室检测,采用多因素Logistic回归模型分析HIV和梅毒感染的影响因素。结果 2 451名MSM的HIV感染率为10.3%,梅毒现症感染率为8.3%。多因素分析结果显示:40岁及以上、网络招募、最近6个月发生无保护性肛交(unprotected anal intercourse,UAI)、最近一年未接受过HIV检测及正在感染梅毒是MSM人群感染HIV的主要危险因素(均有P<0.05);25岁及以上、初中及以下文化程度、场所招募及最近6个月发生UAI是MSM人群感染梅毒的主要危险因素(均有P<0.05)。结论江苏省MSM人群HIV感染持续呈高水平状况,梅毒现症感染得到控制。促进安全套使用和HIV/梅毒检测应持续成为MSM人群性病艾滋病防治的重要工作。展开更多
文摘Human-virus protein-protein interactions(PPIs)play critical roles in viral infection.For example,the spike protein of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)binds primarily to human angiotensinconverting enzyme 2(ACE2)protein to infect human cells.Thus,identifying and blocking these PPIs contribute to controlling and preventing viruses.However,wet-lab experiment-based identification of human-virus PPIs is usually expensive,labor-intensive,and time-consuming,which presents the need for computational methods.Many machine-learning methods have been proposed recently and achieved good results in predicting humanvirus PPIs.However,most methods are based on protein sequence features and apply manually extracted features,such as statistical characteristics,phylogenetic profiles,and physicochemical properties.In this work,we present an embedding-based neural framework with convolutional neural network(CNN)and bi-directional long short-term memory unit(Bi-LSTM)architecture,named Emvirus,to predict human-virus PPIs(including human-SARS-CoV-2 PPIs).In addition,we conduct cross-viral experiments to explore the generalization ability of Emvirus.Compared to other feature extraction methods,Emvirus achieves better prediction accuracy.
文摘目的了解江苏省男男性行为人群(men who have sex with men,MSM)人类免疫缺陷病毒(human immunodeficiency virus,HIV)和梅毒感染状况及影响因素。方法 2015年在江苏省8个地级市招募MSM,并进行问卷调查及实验室检测,采用多因素Logistic回归模型分析HIV和梅毒感染的影响因素。结果 2 451名MSM的HIV感染率为10.3%,梅毒现症感染率为8.3%。多因素分析结果显示:40岁及以上、网络招募、最近6个月发生无保护性肛交(unprotected anal intercourse,UAI)、最近一年未接受过HIV检测及正在感染梅毒是MSM人群感染HIV的主要危险因素(均有P<0.05);25岁及以上、初中及以下文化程度、场所招募及最近6个月发生UAI是MSM人群感染梅毒的主要危险因素(均有P<0.05)。结论江苏省MSM人群HIV感染持续呈高水平状况,梅毒现症感染得到控制。促进安全套使用和HIV/梅毒检测应持续成为MSM人群性病艾滋病防治的重要工作。
