支持向量机在PPⅡ二级结构预测中的应用

PPⅡ二级结构是一种稀有的蛋白质结构类型。目前使用机器学习方法预测此二级结构的工作还比较少见。引入一种新的方法———支持向量机 (SVM)来预测PPII二级结构 ,并与神经网络方法进行了比较 ,结果表明 ,SVM方法在预测PPII结构上表现良好 ,预测精度达到 76 .5 2 %。     

基于间隔二肽组分和递归特征消除法的DNA结合蛋白的鉴定

DNA结合蛋白(DNA-binding proteins,DBPs)的鉴定在原核和真核生物的基因和蛋白质功能注释研究中具有十分重要的意义.本研究首次运用间隔二肽组分(gapped-dipeptide composition,Gap DPC)结合递归特征消除法(recursive feature elimination,RFE)鉴定DBPs.首先获得待测蛋白质氨基酸序列的位置特异性得分矩阵(position specific scoring matrix,PSSM),在此基础上提取蛋白质的Gap DPC特征,通过RFE法选择最优特征,然后利用支持向量机(support vector machine,SVM)作为分类器,在蛋白质序列数据集PDB396和LB1068中进行夹克刀交叉验证(jackknife cross validation test).研究结果显示,基于PDB396和LB1068数据集,DBPs预测的准确率、Matthews相关系数、敏感性和特异性分别达到93.43%、0.86、89.04%和96.00%,以及86.33%、0.73、86.49%和86.18%,明显优于文献报道中的相关方法,为DBPs的鉴定提供了新的模型.     

Substantia nigra dopaminergic neurons and striatal interneurons are engaged in three parallel but interdependent postnatal neurotrophic circuits

The striatum integrates motor behavior using a well‐defined microcircuit whose individual components are independently affected in several neurological diseases. The glial cell line‐derived neurotrophic factor (GDNF), synthesized by striatal interneurons, and Sonic hedgehog (Shh), produced by the dopaminergic neurons of the substantia nigra (DA SNpc), are both involved in the nigrostriatal maintenance but the reciprocal neurotrophic relationships among these neurons are only partially understood. To define the postnatal neurotrophic connections among fast‐spiking GABAergic interneurons (FS), cholinergic interneurons (ACh), and DA SNpc, we used a genetically induced mouse model of postnatal DA SNpc neurodegeneration and separately eliminated Smoothened (Smo), the obligatory transducer of Shh signaling, in striatal interneurons. We show that FS postnatal survival relies on DA SNpc and is independent of Shh signaling. On the contrary, Shh signaling but not dopaminergic striatal innervation is required to maintain ACh in the postnatal striatum. ACh are required for DA SNpc survival in a GDNF‐independent manner. These data demonstrate the existence of three parallel but interdependent neurotrophic relationships between SN and striatal interneurons, partially defined by Shh and GDNF. The definition of these new neurotrophic interactions opens the search for new molecules involved in the striatal modulatory circuit maintenance with potential therapeutic value.     

双歧杆菌四联活菌片联合肠内营养在机械通气患者中的应用

目的观察双歧杆菌四联活菌片联合肠内营养(EN)对机械通气患者营养状况及免疫调节的影响。方法选择我院98例行机械通气的患者为研究对象,随机分为治疗组和对照组,每组49例。对照组给予EN治疗,治疗组在EN治疗基础上加用双歧杆菌四联活菌片治疗,1.5 g/次,3次/d。比较两组患者治疗前后血红白蛋白(Hb)、白蛋白(Alb)、前白蛋白(PAB)、外周血T淋巴细胞数、免疫球蛋白水平及机械通气时间、ICU住院时间。结果治疗后,两组患者Hb、Alb、PAB、CD3~+、CD4~+、CD8~+、CD4~+/CD8~+、IgG、IgA、IgM水平均有所上升。与对照组相比,治疗组患者Hb、Alb、TP、CD3~+、CD4~+、CD4~+/CD8~+、IgG、IgA、IgM水平均显著升高,差异均有统计学意义(均P0.05)。治疗组患者机械通气时间[(4.6±1.2)d]、ICU住院时间[(11.3±4.8)d]均短于对照组,差异有统计学意义(均P0.05)。结论双歧杆菌四联活菌片能够改善机械通气患者的营养状况,同时改善患者免疫功能,缩短患者机械通气时间及ICU住院时间。     

医学检验服务支撑平台在区域医联体中的作用

自2013年以来,北京地区构建了多个区域医联体。在中日友好医院医联体运行的半年多时间里,针对遇到的问题,医联体内各医疗机构采取了许多相应的措施。针对医学检验信息互通,结果互认,样本转运等方面的问题,中日友好医院联合医联体内各成员单位引入医学检验服务支撑平台,探索一种“互助式”的新型医学检验服务模式,力求达到“六统一”的要求,实现医联体的优势互补、资源优化配置作用。     

榄香烯联合GP 化疗方案治疗晚期肺腺癌脑转移的临床观察

目的:观察中药制剂榄香烯联合GP化疗方案治疗晚期肺腺癌脑转移的疗效。方法:选取2009年6月28日至2011年5月30日就诊于我院的晚期肺腺癌脑转移患者34例,将34例晚期肺腺癌脑转移患者随机分为两组(A组和B组),A组:治疗组,17例,并给予患者榄香烯静脉滴注和GP化疗方案;B组:对照组,17例,给予患者GP化疗方案;观察两组疗效和安全性,并记录治疗前后相关的指标变化。结果:2个疗程的化疗结束后,A组:10例患者复查脑核磁发现脑转移瘤较前缩小,病灶部分缓解(P R);6例脑转移瘤病灶稳定(SD);1例疾病进展(PD);B组:5例患者复查脑核磁发现脑转移瘤较前缩小,病灶部分缓解(P R);9例脑转移瘤病灶稳定(SD);3例疾病进展(PD)。结论:采用榄香烯联合GP化疗方案治疗晚期肺腺癌脑转移,能有效地改善患者生活质量,疗效满意。     

A structured decision making analysis to increase a Red-cockaded Woodpecker population and balance stakeholder objectives for a National Forest

Longleaf pine (Pinus palustris) savanna is a biodiverse ecosystem native to the southeastern United States. Due to fire suppression and timber harvest, longleaf pine has declined to 3% of its original range. The extant forest provides habitat for many threatened and endangered species, including the endangered Red-cockaded Woodpecker (Picoides borealis; RCW), a cavity-nesting bird that co-evolved with fire-maintained forest, resulting in savanna-like old-growth forest as the bird’s preferred habitat. Our study site, the Oakmulgee Ranger District of the Talladega National Forest, harbors the largest RCW population in Alabama and is managed with an emphasis on RCW conservation. The United States Forest Service (USFS) also manages the Oakmulgee for uses such as wildlife conservation, recreation, and timber harvest. Despite efforts to restore RCW habitat and install artificial cavities in the Oakmulgee, the number of RCW groups has not exceeded 123, although the Recovery Plan objective is 394 groups. Our project was motivated by the USFS expressing interest in determining why the RCW population has not exceeded 123 groups. We proposed using structured decision making (SDM) with the USFS and other stakeholders to address this problem. Our goals were to explicitly define management objectives, build a Bayesian belief network with a model of how decision alternatives are believed to affect management objectives, and use a sensitivity analysis to determine the part of the model to which RCW population growth was most sensitive. Therefore, results from the analysis were expected to give insights into 1) ecological factors limiting RCW population growth, 2) how management can overcome these limits, plus 3) the relative expected ability of different decision alternatives to satisfy multiple objectives in addition to increasing RCW group number. We held four SDM workshops with representatives from the USFS, the Animal and Plant Health Inspection Service, the Longleaf Alliance, the Birmingham Audubon Society, and local residents. Stakeholder objectives consisted of maximizing the following: RCW group number, forest health, recreational enjoyment, community economic health, and aesthetics. Cavity insert installation had the greatest probability of increasing the number of RCW groups. The number of RCW groups was most affected by cavity availability, adult survival, reproductive output, food availability, and herbaceous understory. Prescribed burning was most likely to meet the combination of stakeholder objectives, followed by midstory removal. Our findings suggest that cavity installation efforts may need to be increased in the Oakmulgee to increase RCW group number. Also it could be beneficial to investigate how RCWs select cavity tree locations with the goal of increasing the chance that RCWs use artificial cavities to form new groups. The Bayesian belief network provided insights into factors limiting RCW population growth and how management can overcome these limits. The Bayesian belief network also can be used to prioritize management methods in the Oakmulgee given stakeholder objectives and time constraints.     

Spatial Modeling of Air Pollution in Studies of Its Short‐Term Health Effects

Summary In studies that estimate the short‐term effects of air pollution on health, daily measurements of pollution concentrations are often available from a number of monitoring locations within the study area. However, the health data are typically only available in the form of daily counts for the entire area, meaning that a corresponding single daily measure of pollution is required. The standard approach is to average the observed measurements at the monitoring locations, and use this in a log‐linear health model. However, as the pollution surface is spatially variable this simple summary is unlikely to be an accurate estimate of the average pollution concentration across the region, which may lead to bias in the resulting health effects. In this article, we propose an alternative approach that jointly models the pollution concentrations and their relationship with the health data using a Bayesian spatio‐temporal model. We compare this approach with the simple spatial average using a simulation study, by investigating the impact of spatial variation, monitor placement, and measurement error in the pollution data. An epidemiological study from Greater London is then presented, which estimates the relationship between respiratory mortality and four different pollutants.