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| 1 | 密褐褶孔菌Gloeophyllum trabeum对几种杀虫剂跟踪反应及对水坝白蚁诱杀效果的影响显示文摘测定了毒死蜱、氰戊菊酯、阿维菌素和氟虫腈等 4种杀虫剂与不同饵料混合后对家白蚁 Coptotermes formosanus和黄肢散白蚁 Reticulitermes flaviceps的口服毒性。在此基础上比较了各种饵料及由它们配成的毒饵对黄肢散白蚁的引诱力。结果表明 ,白蚁对甘蔗粉的喜好程度远超过对淀粉和松木粉。而受密褐褶孔菌 Gloeop hyllum trabeum侵染的甘蔗粉对白蚁的引诱力又远超过未受侵染的甘蔗粉。 4种杀虫剂中除氰戊菊酯外 ,另 3种与受侵染甘蔗粉制成的毒饵均能够在不损失杀白蚁活性的同时保留其对白蚁的引诱力。其中毒死蜱毒饵在为期30 d的水坝白蚁诱杀防治中取得最高 (6 6 .7% )的防治效果。 | 李少南 虞云龙 张大羽 樊德方 赫键 Yuan Genrong 袁根荣 | 2001 | 农药学学报2001，3，2： | 18 |
| 2 | A novel vector of topological and structural information for amino acids and its QSAR applications for peptides and analogues显示文摘A new descriptor, called vector of topological and structural information for coded and noncoded amino acids (VTSA), was derived by principal component analysis (PCA) from a matrix of 66 topological and structural variables of 134 amino acids. The VTSA vector was then applied into two sets of peptide quantitative structure-activity relationships or quantitative sequence-activity modelings (QSARs/ QSAMs). Molded by genetic partial least squares (GPLS), support vector machine (SVM), and immune neural network (INN), good results were obtained. For the datasets of 58 angiotensin converting en-zyme inhibitors (ACEI) and 89 elastase substrate catalyzed kinetics (ESCK) , the R2, cross-validation R2, and root mean square error of estimation (RMSEE) were as follows: ACEI, R2cu≥0.82, Q2cu≥0.77, Ermse≤0.44 (GPLS+SVM); ESCK, R2cu≥0.84, Q2cu≥0.82, Ermse≤0.20 (GPLS+INN), respectively. | LI ZhiLiang LI GenRong SHU Mao SUN JiaYing YANG ShanBin MEI Hu ZHANG MengJun ZHOU Ping WU ShiRong CHEN GuoHua LU FengLin LU TingTing | 2008 | Science China Chemistry2008，51，10： | 2 |
| 3 | Application of the standard addition method for the determination of acrylamide in heat-processed starchy foods by gas chromatography with electron capture detector显示文摘 | Zhu Yonghong Li Genrong Duan Yunpeng | 2008 | Food Chemistry2008，109，： | 1 |
| 4 | Direct determination of free tryptophan contents in soy sauces and its application as an index of soy sauce adulteration显示文摘 | Yonghong Zhu Yan Yang Zhaoxu Zhou Genrong Li Mei Jiang Chun Zhang Shiqi Chen | 2009 | Food Chemistry2009，，1： | 1 |
| 5 | Raceway pond cultivation of a new Arthrospira sp.ZJWST-S1 in digested piggery wastewater treated by MBR and ozonation显示文摘A new Arthrospira strain named Arthrospira sp.ZJWST-S1 was isolated from a local digested piggery wastewater(DPW)storage pool in Jiaxing City,Zhejiang Province,China.It possessed good stain resistance against contaminants in DPW,which was pretreated with a membrane bioreactor(MBR).The strain was identified as Arthrospira platensis(A.platensis)based on its morphological characteristics and the 16S rDNA sequencing analysis.The effect of chrominance on growth of A.platensis ZJWST-S1 was investigated in a field raceway pond filled with MBR effluent or MBR effluent decolorized with ozonation.After ozonation,the chrominance of MBR effluent was decreased from 700 mg Pt/L to 150 mg Pt/L.Two runs of cultivation showed that A.platensis ZJWST-S1 grew faster in the ozone decolorized MBR effluent,the averaged biomass concentration being 0.907 g/L after 10 days of cultivation,close to that in a Zarrouk medium(0.969 g/L).By comparison,the biomass grew much slower in the non-decolorized MBR effluent(0.624 g/L).The pollutant removal was also benefited from the accelerative growth of A.platensis ZJWST-S1 in the decolorized MBR effluent.Almost all ammonium,61.2%of nitrate and 68.1%of phosphate were removed by the A.platensis ZJWST-S1 in the decolorized MBR effluent,much higher than the corresponding values of almost all ammonium,25.4%of nitrate and 36.5%of phosphate in the MBR effluent.Furthermore,the Arthrospira biomass harvested from the ozone decolorized MBR effluent after 10 d cultivation was with crude protein content of 59.1%±3.5%in dry algae powder.The content of Pb,As,Cd and Hg in biomass was also low enough to meet the Chinese Arthrospira Standard for Animal Feed(GB/T 17243-1998).This study showed that the new strain A.platensis ZJWST-S1 possessed potential to be used for producing animal feed and simultaneous removal of nitrogen and phosphorus in DPW. | Liu Rui Yu Qiangqiang Guo Qingqing Zheng Wei Wang Genrong Chen Lujun | 2017 | International Journal of Agricultural and Biological Engineering2017，10，1： | 1 |
| 6 | Integration of genetic virtual screening patterns and latent multivariate modeling techniques for QSAR optimization based on combinations and/or interactions between peptides and proteins显示文摘Both the concept and the model of snug quantitative structure-activity relationship (QSAR) were pro-posed and developed for molecular design through constructing QSAR based on some known mode of receptor/ligand interactions. Many disadvantages of traditional models can be avoided by using the proposed method because the traditional models only determined upon molecular structural features in sample sets themselves. A genetic virtual screening of peptide/protein combinations (GVSPPC) is proposed for the first time by utilizing this idea to examine peptide/protein affinity activities. A genetic algorithm (GA) was developed for screening combinative targets with an interaction mode for virtual receptors. GVSPPC succeeds in disposing difficulties in rational QSAR,in order to search for the ligand/receptor interactions on conditions of unknown structures. Some bioactive oligo-/poly-peptide systems covering 58 angiotensin converting enzyme (ACE) inhibitors and 18 double site mutation residues in camel antibody protein cAb-Lys3 were investigated by GVSPPC with satisfactory results (R 2 cu>0.91,Q 2 cv > 0.86,ERMS=0.19-0.95),respectively,which demonstrates that GVSPPC is more inter-pretable in the ligand-receptor interaction than the traditional QSAR method. | LI ZhiLiang TIAN FeiFei WU ShiRong YANG ShanBin YANG ShengXi ZHOU Yuan ZHANG QiaoXia QIN RenHui MEI Hu CHEN Gang LI GenRong | 2008 | Science China Chemistry2008，51，5： | 0 |
| 7 | Research Status of Toxicity and Residue Detection of High-risk Pesticide Adjuvants显示文摘The toxicity and environmental toxicity of high risk adjuvants in pesticide and their harms to human were introduced,and the detection methods of pesticide adjuvant residues in food in recent years were reviewed.The management status of pesticide adjuvants in various countries was also summarized.In view of risk monitoring results of pesticide(EC)adjuvants in Chongqing market,the potential effects of pesticide adjuvants on agricultural products were focused,to protect environment and prevent human from toxic pesticide adjuvants that missing risk assessments. | Li Genrong Yu Wenqin Xiao Zhaojing Gong Yingkun Lu Jiali Wang Jiansong | 2019 | Plant Diseases and Pests2019，10，4： | 0 |
| 8 | Recognition for avian influenza virus proteins based on support vector machine and linear discriminant analysis显示文摘Total 200 properties related to structural characteristics were employed to represent structures of 400 HA coded proteins of influenza virus as training samples. Some recognition models for HA proteins of avian influenza virus (AIV) were developed using support vector machine (SVM) and linear discriminant analysis (LDA). The results obtained from LDA are as follows: the identification accuracy (Ria) for training samples is 99.8% and Ria by leave one out cross validation is 99.5%. Both Ria of 99.8% for training samples and Ria of 99.3% by leave one out cross validation are obtained using SVM model, respectively. External 200 HA proteins of influenza virus were used to validate the external predictive power of the resulting model. The external Ria for them is 95.5% by LDA and 96.5% by SVM, respectively, which shows that HA proteins of AIVs are preferably recognized by SVM and LDA, and the performances by SVM are superior to those by LDA. | LIANG GuiZhao CHEN ZeCong YANG ShanBin MEI Hu ZHOU Yuan YANG Li ZHOU Peng YANG ShengXi SHU Mao LIAO ChunYang WU ShiRong LI GenRong HE Liu GAO JianKun Gan MengYu LI DeJing CHEN GuoPing WANG GuiXue LONG Sha JING JuHua ZHENG XiaoLin ZENG Hui ZHANG QiaoXia ZHANG MengJun YANG Qi TIAN FeiFei TONG JianBo WANG JiaoNa LIU YongHong LI Bo QIU LiangJia CAI ShaoXi ZHAO Na YANG Yan SU XiaLi SONG Jian CHEN MeiXia ZHANG XueJiao SUN JiaYing LI JingWei CHEN GuoHua CHEN Gang DENG Jie PENG ChuanYou ZHU WanPing XU LuoNan WU YuQuan LIAO LiMin LI Zhi LI Jun LU DaJun SU QinLiang HUANG ZhengHu ZHOU Ping LI ZhiLiang | 2008 | Science China Chemistry2008，51，2： | 0 |
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