An old drug with a new use can significantly reduce the cost and time for new drug research and development. MAPK （Mitogen-activated protein kinase） plays a very important key role in signal transduction pathways of...An old drug with a new use can significantly reduce the cost and time for new drug research and development. MAPK （Mitogen-activated protein kinase） plays a very important key role in signal transduction pathways of cell proliferation and differentiation. According to the statistics, there are about 30% persons who suffered from cancers related to the MAPK signal transduction pathways. Therefore, many researchers are focused on blocking these pathways in cancers therapies. Ras/Raf/MEK/ERK, however, is one of very important pathways among MAPK message transduction pathways. More and more information about MEK protein inhibitors are unveiled in several recent years. In the present study, the authors utilized MEK inhibitors which were already published and their activities were available to construct 2D-QSAR model by using CADD （multiple linear regression）. Then, the authors searched certified FDA drugs （Drugs@FDA 6184 drugs） making preliminary screening. The secondary screening on 3D structures were followed by using Docking, Scoring and Pharmacophore analysis to find out most suitable MEK inhibitors to become a fundamental database in drug discovery. The results are shown the ALogP, number of aromatic rings, number of hydrogen bond acceptors and number of hydrogen bond donors are all in positive correlation. According to the equation from 2D-QSAR model, the results conform to the previous description.展开更多
Background： Antibody drug conjugated （ADC） is one kind of very important method of therapy to cancer diseases. In this research, the authors introduce BLAST and some other important algorithms to create transmembra...Background： Antibody drug conjugated （ADC） is one kind of very important method of therapy to cancer diseases. In this research, the authors introduce BLAST and some other important algorithms to create transmembrane protein databases. These databases are acquired from well-known databases such as NCBI or Swiss-Prot as template, and then collect all possible transmembrane protein by using BLAST or physical character. After collect these databases, the authors will aim at each nucleotide sequences to design the probes of oligonucleotide microarray, which can detect the high express transmembrane proteins very efficiently. Finally, the authors can accelerate the anti-cancer drug discovery by using these databases. Result： This study constructed a web service, the Transmembrane Protein Database, to researchers that are interested in or need to oligonucleotide microarray probe design for detecting potential targets of antibody drug. With user friendly web based windows containing each necessary selections, users can easily choose the parameters and get the suitable probe design suggestions. Conclusion： Transmembrane protein database is very important and powerful in detecting cancers or other human disease. By using this database, the authors offer a good strategy in transmembrane protein research as well.展开更多
文摘An old drug with a new use can significantly reduce the cost and time for new drug research and development. MAPK （Mitogen-activated protein kinase） plays a very important key role in signal transduction pathways of cell proliferation and differentiation. According to the statistics, there are about 30% persons who suffered from cancers related to the MAPK signal transduction pathways. Therefore, many researchers are focused on blocking these pathways in cancers therapies. Ras/Raf/MEK/ERK, however, is one of very important pathways among MAPK message transduction pathways. More and more information about MEK protein inhibitors are unveiled in several recent years. In the present study, the authors utilized MEK inhibitors which were already published and their activities were available to construct 2D-QSAR model by using CADD （multiple linear regression）. Then, the authors searched certified FDA drugs （Drugs@FDA 6184 drugs） making preliminary screening. The secondary screening on 3D structures were followed by using Docking, Scoring and Pharmacophore analysis to find out most suitable MEK inhibitors to become a fundamental database in drug discovery. The results are shown the ALogP, number of aromatic rings, number of hydrogen bond acceptors and number of hydrogen bond donors are all in positive correlation. According to the equation from 2D-QSAR model, the results conform to the previous description.
文摘Background： Antibody drug conjugated （ADC） is one kind of very important method of therapy to cancer diseases. In this research, the authors introduce BLAST and some other important algorithms to create transmembrane protein databases. These databases are acquired from well-known databases such as NCBI or Swiss-Prot as template, and then collect all possible transmembrane protein by using BLAST or physical character. After collect these databases, the authors will aim at each nucleotide sequences to design the probes of oligonucleotide microarray, which can detect the high express transmembrane proteins very efficiently. Finally, the authors can accelerate the anti-cancer drug discovery by using these databases. Result： This study constructed a web service, the Transmembrane Protein Database, to researchers that are interested in or need to oligonucleotide microarray probe design for detecting potential targets of antibody drug. With user friendly web based windows containing each necessary selections, users can easily choose the parameters and get the suitable probe design suggestions. Conclusion： Transmembrane protein database is very important and powerful in detecting cancers or other human disease. By using this database, the authors offer a good strategy in transmembrane protein research as well.
