Listing 1 - 9 of 9 |
Sort by
|
Choose an application
Genetic variations may change the structure and function of individual proteins as well as affect their interactions with other proteins and thereby impact metabolic processes dependent on protein-protein interactions. For example, cytochrome P450 proteins, which metabolize a vast array of drugs, steroids and other xenobiotics, are dependent on interactions with redox and allosteric partner proteins for their localization, stability, (catalytic) function and metabolic diversity (reactions). Genetic variations may impact such interactions by changing the splicing and/or amino acid sequence which in turn may impact protein topology, localization, post translational modifications and three dimensional structure. More generally, research on single gene defects and their role in disease, as well as recent large scale sequencing studies suggest that a large number of genetic variations may contribute to disease not only by affecting gene function or expression but also by modulating complex protein interaction networks. The aim of this research topic is to bring together researchers working in the area of drug, steroid and xenobiotic metabolism who are studying protein-protein interactions, to describe their recent advances in the field. We are aiming for a comprehensive analysis of the subject from different approaches including genetics, proteomics, transcriptomics, structural biology, biochemistry and pharmacology. Of particular interest are papers dealing with translational research describing the role of novel genetic variations altering protein-protein interaction. Authors may submit original articles, reviews and opinion or hypothesis papers dealing with the role of protein-protein interactions in health and disease. Potential topics include, but are not limited to: • Role of protein-protein interactions in xenobiotic metabolism by cytochrome P450s and other drug metabolism enzymes. • Role of classical and novel interaction partners for cytochrome P450-dependent metabolism which may include interactions with redox partners, interactions with other P450 enzymes to form P450 dimers/multimers, P450-UGT interactions and proteins involved in posttranslational modification of P450s. • Effect of genetic variations (mutations and polymorphisms) on metabolism affected by protein-protein interactions. • Structural implications of mutations and polymorphisms on protein-protein interactions. • Functional characterization of protein-protein interactions. • Analysis of protein-protein interaction networks in health and disease. • Regulatory mechanisms governing metabolic processes based on protein-protein interactions. • Experimental approaches for identification of new protein-protein interactions including changes caused by mutations and polymorphisms.
POR --- Pharmacogenetics --- UGT --- Biocatalysis --- UDP-glucuronosyltransferase --- Cytochrome P450 --- Drug metabolism --- Membrane-associated progesterone receptor --- PXR --- Steroids
Choose an application
Genetic variations may change the structure and function of individual proteins as well as affect their interactions with other proteins and thereby impact metabolic processes dependent on protein-protein interactions. For example, cytochrome P450 proteins, which metabolize a vast array of drugs, steroids and other xenobiotics, are dependent on interactions with redox and allosteric partner proteins for their localization, stability, (catalytic) function and metabolic diversity (reactions). Genetic variations may impact such interactions by changing the splicing and/or amino acid sequence which in turn may impact protein topology, localization, post translational modifications and three dimensional structure. More generally, research on single gene defects and their role in disease, as well as recent large scale sequencing studies suggest that a large number of genetic variations may contribute to disease not only by affecting gene function or expression but also by modulating complex protein interaction networks.The aim of this research topic is to bring together researchers working in the area of drug, steroid and xenobiotic metabolism who are studying protein-protein interactions, to describe their recent advances in the field. We are aiming for a comprehensive analysis of the subject from different approaches including genetics, proteomics, transcriptomics, structural biology, biochemistry and pharmacology. Of particular interest are papers dealing with translational research describing the role of novel genetic variations altering protein-protein interaction. Authors may submit original articles, reviews and opinion or hypothesis papers dealing with the role of protein-protein interactions in health and disease.
POR --- Pharmacogenetics --- UGT --- Biocatalysis --- UDP-glucuronosyltransferase --- Cytochrome P450 --- Drug metabolism --- Membrane-associated progesterone receptor --- PXR --- Steroids
Choose an application
Genetic variations may change the structure and function of individual proteins as well as affect their interactions with other proteins and thereby impact metabolic processes dependent on protein-protein interactions. For example, cytochrome P450 proteins, which metabolize a vast array of drugs, steroids and other xenobiotics, are dependent on interactions with redox and allosteric partner proteins for their localization, stability, (catalytic) function and metabolic diversity (reactions). Genetic variations may impact such interactions by changing the splicing and/or amino acid sequence which in turn may impact protein topology, localization, post translational modifications and three dimensional structure. More generally, research on single gene defects and their role in disease, as well as recent large scale sequencing studies suggest that a large number of genetic variations may contribute to disease not only by affecting gene function or expression but also by modulating complex protein interaction networks.The aim of this research topic is to bring together researchers working in the area of drug, steroid and xenobiotic metabolism who are studying protein-protein interactions, to describe their recent advances in the field. We are aiming for a comprehensive analysis of the subject from different approaches including genetics, proteomics, transcriptomics, structural biology, biochemistry and pharmacology. Of particular interest are papers dealing with translational research describing the role of novel genetic variations altering protein-protein interaction. Authors may submit original articles, reviews and opinion or hypothesis papers dealing with the role of protein-protein interactions in health and disease.
POR --- Pharmacogenetics --- UGT --- Biocatalysis --- UDP-glucuronosyltransferase --- Cytochrome P450 --- Drug metabolism --- Membrane-associated progesterone receptor --- PXR --- Steroids
Choose an application
Genetic variations may change the structure and function of individual proteins as well as affect their interactions with other proteins and thereby impact metabolic processes dependent on protein-protein interactions. For example, cytochrome P450 proteins, which metabolize a vast array of drugs, steroids and other xenobiotics, are dependent on interactions with redox and allosteric partner proteins for their localization, stability, (catalytic) function and metabolic diversity (reactions). Genetic variations may impact such interactions by changing the splicing and/or amino acid sequence which in turn may impact protein topology, localization, post translational modifications and three dimensional structure. More generally, research on single gene defects and their role in disease, as well as recent large scale sequencing studies suggest that a large number of genetic variations may contribute to disease not only by affecting gene function or expression but also by modulating complex protein interaction networks. The aim of this research topic is to bring together researchers working in the area of drug, steroid and xenobiotic metabolism who are studying protein-protein interactions, to describe their recent advances in the field. We are aiming for a comprehensive analysis of the subject from different approaches including genetics, proteomics, transcriptomics, structural biology, biochemistry and pharmacology. Of particular interest are papers dealing with translational research describing the role of novel genetic variations altering protein-protein interaction. Authors may submit original articles, reviews and opinion or hypothesis papers dealing with the role of protein-protein interactions in health and disease. Potential topics include, but are not limited to: • Role of protein-protein interactions in xenobiotic metabolism by cytochrome P450s and other drug metabolism enzymes. • Role of classical and novel interaction partners for cytochrome P450-dependent metabolism which may include interactions with redox partners, interactions with other P450 enzymes to form P450 dimers/multimers, P450-UGT interactions and proteins involved in posttranslational modification of P450s. • Effect of genetic variations (mutations and polymorphisms) on metabolism affected by protein-protein interactions. • Structural implications of mutations and polymorphisms on protein-protein interactions. • Functional characterization of protein-protein interactions. • Analysis of protein-protein interaction networks in health and disease. • Regulatory mechanisms governing metabolic processes based on protein-protein interactions. • Experimental approaches for identification of new protein-protein interactions including changes caused by mutations and polymorphisms.
POR --- Pharmacogenetics --- UGT --- Biocatalysis --- UDP-glucuronosyltransferase --- Cytochrome P450 --- Drug metabolism --- Membrane-associated progesterone receptor --- PXR --- Steroids
Choose an application
Genetic variations may change the structure and function of individual proteins as well as affect their interactions with other proteins and thereby impact metabolic processes dependent on protein-protein interactions. For example, cytochrome P450 proteins, which metabolize a vast array of drugs, steroids and other xenobiotics, are dependent on interactions with redox and allosteric partner proteins for their localization, stability, (catalytic) function and metabolic diversity (reactions). Genetic variations may impact such interactions by changing the splicing and/or amino acid sequence which in turn may impact protein topology, localization, post translational modifications and three dimensional structure. More generally, research on single gene defects and their role in disease, as well as recent large scale sequencing studies suggest that a large number of genetic variations may contribute to disease not only by affecting gene function or expression but also by modulating complex protein interaction networks.The aim of this research topic is to bring together researchers working in the area of drug, steroid and xenobiotic metabolism who are studying protein-protein interactions, to describe their recent advances in the field. We are aiming for a comprehensive analysis of the subject from different approaches including genetics, proteomics, transcriptomics, structural biology, biochemistry and pharmacology. Of particular interest are papers dealing with translational research describing the role of novel genetic variations altering protein-protein interaction. Authors may submit original articles, reviews and opinion or hypothesis papers dealing with the role of protein-protein interactions in health and disease.
POR --- Pharmacogenetics --- UGT --- Biocatalysis --- UDP-glucuronosyltransferase --- Cytochrome P450 --- Drug metabolism --- Membrane-associated progesterone receptor --- PXR --- Steroids
Choose an application
Genetic variations may change the structure and function of individual proteins as well as affect their interactions with other proteins and thereby impact metabolic processes dependent on protein-protein interactions. For example, cytochrome P450 proteins, which metabolize a vast array of drugs, steroids and other xenobiotics, are dependent on interactions with redox and allosteric partner proteins for their localization, stability, (catalytic) function and metabolic diversity (reactions). Genetic variations may impact such interactions by changing the splicing and/or amino acid sequence which in turn may impact protein topology, localization, post translational modifications and three dimensional structure. More generally, research on single gene defects and their role in disease, as well as recent large scale sequencing studies suggest that a large number of genetic variations may contribute to disease not only by affecting gene function or expression but also by modulating complex protein interaction networks. The aim of this research topic is to bring together researchers working in the area of drug, steroid and xenobiotic metabolism who are studying protein-protein interactions, to describe their recent advances in the field. We are aiming for a comprehensive analysis of the subject from different approaches including genetics, proteomics, transcriptomics, structural biology, biochemistry and pharmacology. Of particular interest are papers dealing with translational research describing the role of novel genetic variations altering protein-protein interaction. Authors may submit original articles, reviews and opinion or hypothesis papers dealing with the role of protein-protein interactions in health and disease. Potential topics include, but are not limited to: • Role of protein-protein interactions in xenobiotic metabolism by cytochrome P450s and other drug metabolism enzymes. • Role of classical and novel interaction partners for cytochrome P450-dependent metabolism which may include interactions with redox partners, interactions with other P450 enzymes to form P450 dimers/multimers, P450-UGT interactions and proteins involved in posttranslational modification of P450s. • Effect of genetic variations (mutations and polymorphisms) on metabolism affected by protein-protein interactions. • Structural implications of mutations and polymorphisms on protein-protein interactions. • Functional characterization of protein-protein interactions. • Analysis of protein-protein interaction networks in health and disease. • Regulatory mechanisms governing metabolic processes based on protein-protein interactions. • Experimental approaches for identification of new protein-protein interactions including changes caused by mutations and polymorphisms.
POR --- Pharmacogenetics --- UGT --- Biocatalysis --- UDP-glucuronosyltransferase --- Cytochrome P450 --- Drug metabolism --- Membrane-associated progesterone receptor --- PXR --- Steroids
Choose an application
Computational fluid dynamics (CFD), which uses numerical analysis to predict and model complex flow behaviors and transport processes, has become a mainstream tool in engineering process research and development. Complex chemical processes often involve coupling between dynamics at vastly different length and time scales, as well as coupling of different physical models. The multiscale and multiphysics nature of those problems calls for delicate modeling approaches. This book showcases recent contributions in this field, from the development of modeling methodology to its application in supporting the design, development, and optimization of engineering processes.
Technology: general issues --- wood dust --- nasal epithelia --- VOCs --- M1dG --- reactive oxygen species (ROS) --- nucleotide excision repair (NER) --- base excision repair (BER) --- oxidative DNA damage --- DNA damage response and repair network --- immune response --- autoimmunity --- systemic lupus erythematosus --- systemic sclerosis --- rheumatoid arthritis --- oxidative stress --- abasic sites --- chromatin organization --- apoptosis --- DNA damage --- general anesthesia --- neuraxial anesthesia --- comet assay --- chronic myeloid leukemia --- genetic instability --- DNA double-strand breaks --- DNA damage response --- benzo[a]pyrene --- BPDE-DNA adduct --- silymarin --- detoxification --- Nrf2 --- PXR --- DNA repair --- base excision repair (BER)glycosylases --- colorectal cancer --- reactive oxygen species --- metabolic adaptation --- drug resistance --- cancer --- thyroid --- thyroid cancer --- volcano --- metals --- metallome --- carcinogens --- hormesis --- environment pollution --- metal biocontamination --- n/a --- Diamond-Blackfan anemia --- 8-oxoguanine --- inflammatory cytokines --- erythrocyte lifespan
Choose an application
Computational fluid dynamics (CFD), which uses numerical analysis to predict and model complex flow behaviors and transport processes, has become a mainstream tool in engineering process research and development. Complex chemical processes often involve coupling between dynamics at vastly different length and time scales, as well as coupling of different physical models. The multiscale and multiphysics nature of those problems calls for delicate modeling approaches. This book showcases recent contributions in this field, from the development of modeling methodology to its application in supporting the design, development, and optimization of engineering processes.
wood dust --- nasal epithelia --- VOCs --- M1dG --- reactive oxygen species (ROS) --- nucleotide excision repair (NER) --- base excision repair (BER) --- oxidative DNA damage --- DNA damage response and repair network --- immune response --- autoimmunity --- systemic lupus erythematosus --- systemic sclerosis --- rheumatoid arthritis --- oxidative stress --- abasic sites --- chromatin organization --- apoptosis --- DNA damage --- general anesthesia --- neuraxial anesthesia --- comet assay --- chronic myeloid leukemia --- genetic instability --- DNA double-strand breaks --- DNA damage response --- benzo[a]pyrene --- BPDE-DNA adduct --- silymarin --- detoxification --- Nrf2 --- PXR --- DNA repair --- base excision repair (BER)glycosylases --- colorectal cancer --- reactive oxygen species --- metabolic adaptation --- drug resistance --- cancer --- thyroid --- thyroid cancer --- volcano --- metals --- metallome --- carcinogens --- hormesis --- environment pollution --- metal biocontamination --- n/a --- Diamond-Blackfan anemia --- 8-oxoguanine --- inflammatory cytokines --- erythrocyte lifespan
Choose an application
Computational fluid dynamics (CFD), which uses numerical analysis to predict and model complex flow behaviors and transport processes, has become a mainstream tool in engineering process research and development. Complex chemical processes often involve coupling between dynamics at vastly different length and time scales, as well as coupling of different physical models. The multiscale and multiphysics nature of those problems calls for delicate modeling approaches. This book showcases recent contributions in this field, from the development of modeling methodology to its application in supporting the design, development, and optimization of engineering processes.
Technology: general issues --- wood dust --- nasal epithelia --- VOCs --- M1dG --- reactive oxygen species (ROS) --- nucleotide excision repair (NER) --- base excision repair (BER) --- oxidative DNA damage --- DNA damage response and repair network --- immune response --- autoimmunity --- systemic lupus erythematosus --- systemic sclerosis --- rheumatoid arthritis --- oxidative stress --- abasic sites --- chromatin organization --- apoptosis --- DNA damage --- general anesthesia --- neuraxial anesthesia --- comet assay --- chronic myeloid leukemia --- genetic instability --- DNA double-strand breaks --- DNA damage response --- benzo[a]pyrene --- BPDE-DNA adduct --- silymarin --- detoxification --- Nrf2 --- PXR --- DNA repair --- base excision repair (BER)glycosylases --- colorectal cancer --- reactive oxygen species --- metabolic adaptation --- drug resistance --- cancer --- thyroid --- thyroid cancer --- volcano --- metals --- metallome --- carcinogens --- hormesis --- environment pollution --- metal biocontamination --- Diamond-Blackfan anemia --- 8-oxoguanine --- inflammatory cytokines --- erythrocyte lifespan
Listing 1 - 9 of 9 |
Sort by
|