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Computational Methods to Study the Structure and Dynamics of Biomolecules and Biomolecular Processes
This book provides a comprehensive overview of modern computer-based techniques for analyzing the structure, properties and dynamics of biomolecules and biomolecular processes. It is organized in four main parts; the first one deals with methodology of molecular simulations; the second one with applications of molecular simulations; the third one introduces bioinformatics methods and the use of experimental information in molecular simulations; the last part reports on selected applications of molecular quantum mechanics. This second edition has been thoroughly revised and updated to include the latest progresses made in the respective field of research.
Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach
The “Artificial Intelligence and Bioinformatics in Cancer: An Interdisciplinary Approach” is the eighteenth volume of the “Interdisciplinary Cancer Research” series, publishes comprehensive volume on the advances of machine learning and bioinformatics in cancer. The volume starts with a chapter on application of artificial intelligence for early diagnosis of cancer. Then digital health technologies in cancer care and research is discussed. Unveiling cancer complexity: machine learning insights into multi-omics data and the role of integrated bioinformatics in cancer research are also discussed. In silico and biophysical approaches in cancer research and in silico methods and targeted...
Bioinformatics and Biomedical Engineering
This two volume set LNBI 10208 and LNBI 10209 constitutes the proceedings of the 5th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2017, held in Granada, Spain, in April 2017. The 122 papers presented were carefully reviewed and selected from 309 submissions. The scope of the conference spans the following areas: advances in computational intelligence for critical care; bioinformatics for healthcare and diseases; biomedical engineering; biomedical image analysis; biomedical signal analysis; biomedicine; challenges representing large-scale biological data; computational genomics; computational proteomics; computational systems for modeling biological processes; data driven biology - new tools, techniques and resources; eHealth; high-throughput bioinformatic tools for genomics; oncological big data and new mathematical tools; smart sensor and sensor-network architectures; time lapse experiments and multivariate biostatistics.
G Protein-Coupled Receptors - Part A
G Protein-Coupled Receptors, Part A, Volume 193 in the Progress in Molecular Biology and Translational Science series, highlights new advances in the field. G protein-coupled receptors (GPCRs) represent the largest class of cell surface proteins with an intricate involvement of nearly every physiological process in our body. Approximately, one third of the clinically prescribed medicines target GPCRs and the quest to improve the exiting GPCR-targeting therapeutics continues. These two volumes are focused on activation, signaling and regulation of GPCRs with specific examples of receptor systems and cellular processes. - Covers a broad range of topics related to GPCR activation and signaling - Covers several receptor systems with an emphasis on emerging paradigms - Covers different processes and model systems with a focus on GPCRs
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