Proteomics and Systems Biology, Volume 127 in the Advances in Protein Chemistry and Structural Biology series, outlines current proteomic methodologies and discuss the challenges in future applications of systems biology in a number of biomedical/bioscience subjects. In last few decades, advances in genomics, proteomics, metabolomics, glycomics, venomics, etc., have produced vast large-scale datasets that need to be analyzed with a single main objective of understanding biological systems as a whole. Such understanding will allow us to predict and characterize the dynamic properties of biological systems. …mehr
Proteomics and Systems Biology, Volume 127 in the Advances in Protein Chemistry and Structural Biology series, outlines current proteomic methodologies and discuss the challenges in future applications of systems biology in a number of biomedical/bioscience subjects. In last few decades, advances in genomics, proteomics, metabolomics, glycomics, venomics, etc., have produced vast large-scale datasets that need to be analyzed with a single main objective of understanding biological systems as a whole. Such understanding will allow us to predict and characterize the dynamic properties of biological systems.
Produktdetails
Produktdetails
Advances in Protein Chemistry and Structural Biology Volume 127
Dr. Tatyana Karabencheva-Christova works at the Department of Applied Sciences, University of Northumbria, UK.
Inhaltsangabe
1. Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways Anton Buzdin, Victor Tkachev, Marianna Zolotovskaia, Andrew Garazha, Sergey Moshkovskii, Nicolas Borisov, Nurshat Gaifullin, Maksim Sorokin, and Maria Suntsova 2. Proteomics in systems toxicology Carolina Madeira and Pedro M. Costa 3. Posttranslational modifications in systems biology Suruchi Aggarwal, Priya Tolani, Srishti Gupta, and Amit Kumar Yadav 4. Big data, integrative omics and network biology Priya Tolani, Srishti Gupta, Kirti Yadav, Suruchi Aggarwal, and Amit Kumar Yadav 5. Proteome analysis using machine learning approaches and its applications to diseases Abhishek Sengupta, G. Naresh, Astha Mishra, Diksha Parashar, and Priyanka Narad 6. Network-based strategies for protein characterization Alessandra Merlotti, Giulia Menichetti, Piero Fariselli, Emidio Capriotti, and Daniel Remondini 7. Proteomics and systems biology in optic nerve regeneration Sean D. Meehan, Leila Abdelrahman, Jennifer Arcuri, Kevin K. Park, Mohammad Samarah, and Sanjoy K. Bhattacharya 8. Proteomics of pseudoexfoliation materials in the anterior eye segment Jada Morris, Ciara Myer, Tara Cornet, Anna K. Junk, Richard K. Lee, and Sanjoy K. Bhattacharya 9. A systems biology approach to COVID-19 progression in population Magdalena Djordjevic, Andjela Rodic, Igor Salom, Dusan Zigic, Ognjen Milicevic, Bojana Ilic, and Marko Djordjevic 10. An integrative analysis to distinguish between emphysema (EML) and alpha-1 antitrypsin deficiency-related emphysema (ADL)-A systems biology approach 315 S. Udhaya Kumar, N. Madhana Priya, D. Thirumal Kumar, V. Anu Preethi, Vibhaa Kumar, Dhanushya Nagarajan, R. Magesh, Salma Younes, Hatem Zayed, and C. George Priya Doss 11. A systemic approach to explore the mechanisms of drug resistance and altered signaling cascades in extensively drug-resistant tuberculosis S. Udhaya Kumar, Aisha Saleem, D. Thirumal Kumar, V. Anu Preethi, Salma Younes, Hatem Zayed, Iftikhar Aslam Tayubi, and C. George Priya Doss
1. Using proteomic and transcriptomic data to assess activation of intracellular molecular pathways Anton Buzdin, Victor Tkachev, Marianna Zolotovskaia, Andrew Garazha, Sergey Moshkovskii, Nicolas Borisov, Nurshat Gaifullin, Maksim Sorokin, and Maria Suntsova 2. Proteomics in systems toxicology Carolina Madeira and Pedro M. Costa 3. Posttranslational modifications in systems biology Suruchi Aggarwal, Priya Tolani, Srishti Gupta, and Amit Kumar Yadav 4. Big data, integrative omics and network biology Priya Tolani, Srishti Gupta, Kirti Yadav, Suruchi Aggarwal, and Amit Kumar Yadav 5. Proteome analysis using machine learning approaches and its applications to diseases Abhishek Sengupta, G. Naresh, Astha Mishra, Diksha Parashar, and Priyanka Narad 6. Network-based strategies for protein characterization Alessandra Merlotti, Giulia Menichetti, Piero Fariselli, Emidio Capriotti, and Daniel Remondini 7. Proteomics and systems biology in optic nerve regeneration Sean D. Meehan, Leila Abdelrahman, Jennifer Arcuri, Kevin K. Park, Mohammad Samarah, and Sanjoy K. Bhattacharya 8. Proteomics of pseudoexfoliation materials in the anterior eye segment Jada Morris, Ciara Myer, Tara Cornet, Anna K. Junk, Richard K. Lee, and Sanjoy K. Bhattacharya 9. A systems biology approach to COVID-19 progression in population Magdalena Djordjevic, Andjela Rodic, Igor Salom, Dusan Zigic, Ognjen Milicevic, Bojana Ilic, and Marko Djordjevic 10. An integrative analysis to distinguish between emphysema (EML) and alpha-1 antitrypsin deficiency-related emphysema (ADL)-A systems biology approach 315 S. Udhaya Kumar, N. Madhana Priya, D. Thirumal Kumar, V. Anu Preethi, Vibhaa Kumar, Dhanushya Nagarajan, R. Magesh, Salma Younes, Hatem Zayed, and C. George Priya Doss 11. A systemic approach to explore the mechanisms of drug resistance and altered signaling cascades in extensively drug-resistant tuberculosis S. Udhaya Kumar, Aisha Saleem, D. Thirumal Kumar, V. Anu Preethi, Salma Younes, Hatem Zayed, Iftikhar Aslam Tayubi, and C. George Priya Doss
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