α-鹅膏[蕈]毒环肽(α-amanitin)是从致命鹅膏毒伞子实体中分离的多肽物质。本文采用配体指数富集系统进化(systemic evolution of ligand by exponential enrichment,SELEX)技术,以α-鹅膏[蕈]毒环肽为靶蛋白,以亲和填料epoxy-activate...α-鹅膏[蕈]毒环肽(α-amanitin)是从致命鹅膏毒伞子实体中分离的多肽物质。本文采用配体指数富集系统进化(systemic evolution of ligand by exponential enrichment,SELEX)技术,以α-鹅膏[蕈]毒环肽为靶蛋白,以亲和填料epoxy-activated sepharose 6B为筛选介质,从体外合成的随机单链DNA文库中筛选其核酸适配体。经过12轮筛选,将第12轮筛选产物克隆测序,对获得的12条核酸适配体进行分析。二级结构预测分析表明,茎环和口袋结构为主要的结构形式,提示其可能是核酸适配体与α-鹅膏[蕈]毒环肽特异性结合的基础。对得到的核酸适配体进行特异性和灵敏度检测,其中E06核酸适配体的特异性最好,为核酸适配体检测蘑菇中α-鹅膏[蕈]毒环肽的残留奠定了基础。展开更多
In open normative multi-agent communities,an agent is not usually and explicitly given the norms of the host agents.Thus,when it is not able to adapt the communities's norms,it is totally deprived of accessing res...In open normative multi-agent communities,an agent is not usually and explicitly given the norms of the host agents.Thus,when it is not able to adapt the communities's norms,it is totally deprived of accessing resources and services from the host.Such circumstance severely affects its performance resulting in failure to achieve its goal.Consequently,this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host's potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party.The authors called this technique as the potential norms detection technique(PNDT).The PNDT consists of five components: Agent's belief base; observation process; potential norms mining algorithm(PNMA);verification process; and updating process.The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives.The tests' results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.展开更多
文摘α-鹅膏[蕈]毒环肽(α-amanitin)是从致命鹅膏毒伞子实体中分离的多肽物质。本文采用配体指数富集系统进化(systemic evolution of ligand by exponential enrichment,SELEX)技术,以α-鹅膏[蕈]毒环肽为靶蛋白,以亲和填料epoxy-activated sepharose 6B为筛选介质,从体外合成的随机单链DNA文库中筛选其核酸适配体。经过12轮筛选,将第12轮筛选产物克隆测序,对获得的12条核酸适配体进行分析。二级结构预测分析表明,茎环和口袋结构为主要的结构形式,提示其可能是核酸适配体与α-鹅膏[蕈]毒环肽特异性结合的基础。对得到的核酸适配体进行特异性和灵敏度检测,其中E06核酸适配体的特异性最好,为核酸适配体检测蘑菇中α-鹅膏[蕈]毒环肽的残留奠定了基础。
文摘In open normative multi-agent communities,an agent is not usually and explicitly given the norms of the host agents.Thus,when it is not able to adapt the communities's norms,it is totally deprived of accessing resources and services from the host.Such circumstance severely affects its performance resulting in failure to achieve its goal.Consequently,this study attempts to overcome this deficiency by proposing a technique that enables an agent to detect the host's potential norms via self-enforcement and update its norms even in the absence of sanctions from a third-party.The authors called this technique as the potential norms detection technique(PNDT).The PNDT consists of five components: Agent's belief base; observation process; potential norms mining algorithm(PNMA);verification process; and updating process.The authors demonstrate the operation of the PNMA algorithm by testing it on a typical scenario and analyzing the results on several perspectives.The tests' results show that the PNDT performs satisfactorily albeit the success rate depends on the environment variables settings.
