Total mRNA was extracted from a venom gland of snake Daboia russellii siamensis following the manufacturer＇s protocol of the PolyATtract System 1000 kit purchased from Promega Biotech. cDNAs encoding C-type lectins w...Total mRNA was extracted from a venom gland of snake Daboia russellii siamensis following the manufacturer＇s protocol of the PolyATtract System 1000 kit purchased from Promega Biotech. cDNAs encoding C-type lectins were amplified by RT-PCR and subcloned into a pMD18-T vector. Fourteen positive clones were selected for nucleotide sequencing and seven cDNAs encoding various snake venom C-type lectin-like protein precursors, designated as DRS-L1, DRS-L2, DRS-L3, DRS-L4 DRS-L5, DRS-L6 and DRS-L7, were obtained. Amino acid sequences of these proteins were deduced and each contains a carbohydrate recognition domain. Of all the deduced protein sequences, only DRS-L1 seemed to represent a closer sequence similarity to α subunits of other known snake venom C-type lectin-like proteins using the BLAST program. Homology comparison combined with analysis of cysteine position indicate that DRS-L1 and DRS-L2 are probably the light chain LC2 and LC1 of factor X activator from Daboia russellii siamensis venom, respectively. DRS-L3 and DRS-L4 might be the β subunits of higher molecular weight C-type lectin-like proteins while DRS-L5 and DRS-L6 might be β subunits of lower molecular weight C-type lectin-like proteins. DRS-L7 might be the β subunit of a platelet membrane glycoprotein Ib-binding protein similar to echicetin.展开更多
This paper proposes a proper methodology in data modification by using AHP （analytical hierarchy process） technique and FCM （fuzzy c-mean） model in the ICU （intensive care unit）. The binary data were created fro...This paper proposes a proper methodology in data modification by using AHP （analytical hierarchy process） technique and FCM （fuzzy c-mean） model in the ICU （intensive care unit）. The binary data were created from continuous data using FCM model, while the continuous data were constructed from binary data using AHP technique. The models used in this study are FCRM （fuzzy c-regression model）. A case study in scale of health at the ICU ward using the AI-IP, FCM model and FCRM models was conducted. There are six independent variables in this study. There are four cases which are considered as the result of using AHP technique and FCM model against independent data. After comparing the four cases, it was found that case 4 appeared to be the best model, because it has the lowest MSE （mean square error） value. The original data have the MSE value of 97.33, while the data in case 4 have the MSE value of 82.75. This means that the use of AHP technique can reduce the MSE value, while the use of FCM model can not reduce the MSE value. In other words, it can be proved that the AHP technique can increase the accuracy of prediction in modeling scale of health which is associated with the mortality rate in the ICU.展开更多
文摘Total mRNA was extracted from a venom gland of snake Daboia russellii siamensis following the manufacturer＇s protocol of the PolyATtract System 1000 kit purchased from Promega Biotech. cDNAs encoding C-type lectins were amplified by RT-PCR and subcloned into a pMD18-T vector. Fourteen positive clones were selected for nucleotide sequencing and seven cDNAs encoding various snake venom C-type lectin-like protein precursors, designated as DRS-L1, DRS-L2, DRS-L3, DRS-L4 DRS-L5, DRS-L6 and DRS-L7, were obtained. Amino acid sequences of these proteins were deduced and each contains a carbohydrate recognition domain. Of all the deduced protein sequences, only DRS-L1 seemed to represent a closer sequence similarity to α subunits of other known snake venom C-type lectin-like proteins using the BLAST program. Homology comparison combined with analysis of cysteine position indicate that DRS-L1 and DRS-L2 are probably the light chain LC2 and LC1 of factor X activator from Daboia russellii siamensis venom, respectively. DRS-L3 and DRS-L4 might be the β subunits of higher molecular weight C-type lectin-like proteins while DRS-L5 and DRS-L6 might be β subunits of lower molecular weight C-type lectin-like proteins. DRS-L7 might be the β subunit of a platelet membrane glycoprotein Ib-binding protein similar to echicetin.
文摘This paper proposes a proper methodology in data modification by using AHP （analytical hierarchy process） technique and FCM （fuzzy c-mean） model in the ICU （intensive care unit）. The binary data were created from continuous data using FCM model, while the continuous data were constructed from binary data using AHP technique. The models used in this study are FCRM （fuzzy c-regression model）. A case study in scale of health at the ICU ward using the AI-IP, FCM model and FCRM models was conducted. There are six independent variables in this study. There are four cases which are considered as the result of using AHP technique and FCM model against independent data. After comparing the four cases, it was found that case 4 appeared to be the best model, because it has the lowest MSE （mean square error） value. The original data have the MSE value of 97.33, while the data in case 4 have the MSE value of 82.75. This means that the use of AHP technique can reduce the MSE value, while the use of FCM model can not reduce the MSE value. In other words, it can be proved that the AHP technique can increase the accuracy of prediction in modeling scale of health which is associated with the mortality rate in the ICU.
