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Computational Methods for Predicting Post-Translational Modification Sites
This volume describes computational approaches to predict multitudes of PTM sites. Chapters describe in depth approaches on algorithms, state-of-the-art Deep Learning based approaches, hand-crafted features, physico-chemical based features, issues related to obtaining negative training, sequence-based features, and structure-based features. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Authoritative and cutting-edge, Computational Methods for Predicting Post-Translational Modification Sites aims to be a useful guide for researchers who are interested in the field of PTM site prediction.
Machine Learning In Bioinformatics Of Protein Sequences: Algorithms, Databases And Resources For Modern Protein Bioinformatics
Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of cutting-edge machine learning applications in the protein bioinformatics field. Edited by bioinformatics expert, Dr Lukasz Kurgan, and with contributions by a dozen of accomplished researchers, this book provides a holistic view of the structural bioinformatics by covering a broad spectrum of algorithms, databases and software resources for the efficient and accurate prediction and characterization of functional and structural aspects of proteins. It spotlights key advances which include deep neural networks, natural language processing-based sequence embedding and covers a wide range of predictions which comprise of tertiary structure, secondary structure, residue contacts, intrinsic disorder, protein, peptide and nucleic acids-binding sites, hotspots, post-translational modification sites, and protein function. This volume is loaded with practical information that identifies and describes leading predictive tools, useful databases, webservers, and modern software platforms for the development of novel predictive tools.
Modern Mathematical Methods and High Performance Computing in Science and Technology
The book discusses important results in modern mathematical models and high performance computing, such as applied operations research, simulation of operations, statistical modeling and applications, invisibility regions and regular meta-materials, unmanned vehicles, modern radar techniques/SAR imaging, satellite remote sensing, coding, and robotic systems. Furthermore, it is valuable as a reference work and as a basis for further study and research. All contributing authors are respected academicians, scientists and researchers from around the globe. All the papers were presented at the international conference on Modern Mathematical Methods and High Performance Computing in Science & Tech...
Handbook of Molecular Biotechnology
With a history that likely dates back to the dawn of human civilization more than 10,000 years ago, and a record that includes the domestication and selective breeding of plants and animals, the harnessing of fermentation process for bread, cheese, and brewage production, and the development of vaccines against infectious diseases, biotechnology has acquired a molecular focus during the 20th century, particularly following the resolution of DNA double helix in 1953, and the publication of DNA cloning protocol in 1973, and transformed our concepts and practices in disease diagnosis, treatment and prevention, pharmaceutical and industrial manufacturing, animal and plant industry, and food proc...
Casein
Casein: Structural Properties, Uses, Health Benefits and Nutraceutical Applications investigates casein properties, uses, and applications in food and non-food products, in addition to exploring its health benefits and uses in manufacturing, such as in cheese products, along with an in-depth discussion on the future scope, challenges, and market trends of this protein. Casein: Structural Properties, Uses, Health Benefits and Nutraceutical Applications is an excellent reference for food scientists, dairy researchers, pharmaceutical scientists, students and researchers studying related fields. - Provides comprehensive coverage of casein, the main milk protein that has many applications and uses - Includes suggested reading for further information - Addresses a wide-range of related topics, including non-food applications of casein
Bioinformatics for Systems Biology
Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward.
Protein Supersecondary Structures
This second edition volume expands on the previous edition with an update on the latest developments in the field and new techniques used to study secondary and supersecondary structures (SSS) in proteins. Chapters in this book discuss topics such as sequence and structural features of different SSS elements; software used for the automatic annotation of secondary structure elements in proteins; the new developments in secondary and SSS prediction and the modern approaches for energy landscape calculation; protein misfolding and amyloid structural formation; analysis of ‘transformer proteins’; discovery of the structure of the hydrophobic nucleus; and discussions of the main principles o...
