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Macromolecular Protein Complexes IV - - Bog - Springer International Publishing AG - Plusbog.dk

Characterisation of the Mechanical Properties of Heat-Induced Protein Deposits in Immersed Cleaning Systems - Jintian Liu - Bog - Springer

Characterisation of the Mechanical Properties of Heat-Induced Protein Deposits in Immersed Cleaning Systems - Jintian Liu - Bog - Springer

During heat treatment in dairy production, the rapid formation of heat-induced fouling deposits on the plant surface leads to reduced efficiency of heat transfer. Therefore, a regular cleaning process is required to soften the heat-induced protein deposits and then remove them from the plant surface. The mechanical property of the deposits is one of the key issues of the cleaning mechanisms since the non-fractured behaviour dominates the deformation of the fouling layer and the failure behaviour has a great impact on the cohesive removal of fouling deposits. Considering the complicated geometry of fouling deposits and their irregular distribution, indentation experiments were carried out on various kinds of protein deposits. The experimental results reveal the significant influence of the thickness of fouling deposits on their mechanical behaviour and the time-dependent nonlinear behaviour of the deposits. Furthermore, heat-induced whey protein gel was used as the modelmaterial for fouling deposits and the non-fractured and fracture behaviour was characterized using compression and wire cutting experiments, respectively. The material parameters identified using the inverse finite element method allow the prediction of fracture behaviour under localized external loads and provide a deeper insight into cohesive removal. To investigate the softening effect during caustic washing, tensile experiments were conducted on chemically treated and untreated whey protein gels. Adequate chemical degradation leads to a softer mechanical response and increased stress relaxation, making whey protein gels more flowable and more resistant to tensile deformation. The experimental results provide useful data on the failure behaviour of chemically treated whey protein gels.

DKK 939.00
1

Algorithms and Methods in Structural Bioinformatics - - Bog - Springer International Publishing AG - Plusbog.dk

Algorithms and Methods in Structural Bioinformatics - - Bog - Springer International Publishing AG - Plusbog.dk

Bioinformatics Research and Applications - - Bog - Springer International Publishing AG - Plusbog.dk

Fundamentals of Molecular Bioengineering - Luisa Di Paola - Bog - Springer International Publishing AG - Plusbog.dk

Fundamentals of Molecular Bioengineering - Luisa Di Paola - Bog - Springer International Publishing AG - Plusbog.dk

This textbook covers the scientific basics of molecular bioengineering, a new field where technology meets biology and chemistry, and the fundamental knowledge required for students to understand molecular mechanisms beyond biological phenomena. The textbook focuses on the role of proteins in biomolecular machinery, and it is divided into 2 parts: Part I covers the molecular thermodynamics of biological systems, and Part II discusses the computational aspects behind protein structure prediction and molecular dynamics. In the first part of the textbook, students will find comprehensive explanations of thermodynamics and statistical mechanics, which are the basis to understand how molecular properties translate into macroscopic. Part I also offers an introduction to proteins and concepts like intermolecular forces, volumetric properties of fluids, ionization equilibria and salting-out, and protein binding and protein-protein interactions. In the second part of the textbook, students will learn about protein structure prediction and analysis, systems biology and structure-based protein networks, and computational tools and approaches for molecular dynamics simulations and protein binding and protein-protein interactions. This textbook adds to the scholarly debate with a unique contribution, addressing important new areas of biophysical chemistry and molecular biophysics not covered in currently available textbooks. Given its breadth, the textbook is suitable for courses in molecular biophysics, biochemistry, physical chemistry and bioengineering, and will also appeal to researchers and professionals in these fields. Part I of this book is a translation from its Italian original manuscript done with the help of artificial intelligence. A subsequent human revision of the content was done by the author. Springer Nature works continuously to further the development of tools for the production of books and on the related technologiesto support the authors.

DKK 816.00
1

CFTR and Cystic Fibrosis - Carlos M. Farinha - Bog - Springer International Publishing AG - Plusbog.dk

CFTR and Cystic Fibrosis - Carlos M. Farinha - Bog - Springer International Publishing AG - Plusbog.dk

This Brief is devoted to the CFTR protein and cystic fibrosis, and it provides an updated perspective of the genetic, functional and cellular processes involved in this conformational disorder. Starting with a historical perspective on cystic fibrosis and its clinical features, the author departs into an in-depth description of the biology of the CFTR protein, ending with a discussion on the latest approaches aimed at developing corrective therapies for cystic fibrosis. First the basic aspects of cystic fibrosis as a disorder are addressed, focusing on genetics and mutation prevalence. Then the CFTR protein is discussed in detail: its structure and classification within the ABC transporter superfamily, its biogenesis with membrane insertion and chaperone assisted folding, its glycosylation and how it regulates the endoplasmatic reticulum quality control mechanisms that assess CFTR folding status. Extra attention is given to post-ER trafficking and regulation of membrane stability and anchoring, and to CFTR functions. This is linked to the molecular mechanisms through which different CFTR mutations cause cystic fibrosis. Finally, the different efforts aiming at rescuing the basic defect, most of which aim at repairing CFTR dysfunction, are covered. Through this integrated perspective, readers will obtain a unique insight into this fascinating membrane-bound protein and its associated disease. This Brief appeals to an audience interested in human genetics, protein folding, protein trafficking and physiology.

DKK 426.00
1

Unconventional Computation and Natural Computation - - Bog - Springer International Publishing AG - Plusbog.dk

Laboratory Investigations of Thrombophilia - - Bog - Springer International Publishing AG - Plusbog.dk

Laboratory Investigations of Thrombophilia - - Bog - Springer International Publishing AG - Plusbog.dk

This comprehensive book offers an in-depth overview of laboratory diagnoses for both inherited and acquired thrombophilias, illuminating the complex interplay between genetic and environmental factors that contribute to venous thromboembolism. Beginning with foundational concepts in thrombophilia testing, the book systematically covers the diagnosis of key anticoagulant deficiencies, including protein C, protein S, protein Z, antithrombin, and plasminogen, as well as the critical evaluation of prothrombin G20210A and factor V Leiden mutations and other factors involved in thrombosis. It also addresses acquired thrombophilia, highlighting the significant impact of factors such as hyperhomocysteinemia and the influence of medications, lifestyle choices, and underlying health conditions on thrombosis risk. Each chapter clarifies the principles behind various laboratory assays, detailing the preanalytical variables that can affect results and guiding the interpretation of findings. Real-world challenges in thrombophilia testing such as during pregnancy, the use of oral contraceptives, and monitoring anticoagulation therapy are specifically examined. Written in a clear yet comprehensive style, this book is aimed at thrombosis specialists, hematologists, laboratory scientists, and students. It provides extensive knowledge, practical guidance, and evidence-based protocols for thrombophilia testing, ensuring accurate diagnosis and effective management of this life-threatening disorder.

DKK 869.00
1

Chemical Evolution of Nitrogen-based Compounds in Mozzarella Cheeses - Caterina Barone - Bog - Springer International Publishing AG - Plusbog.dk

Bio-based Polyols and Polyurethanes - Xiaolan Luo - Bog - Springer International Publishing AG - Plusbog.dk

Combination Therapy In Dyslipidemia - - Bog - Springer International Publishing AG - Plusbog.dk

Combination Therapy In Dyslipidemia - - Bog - Springer International Publishing AG - Plusbog.dk

Comprising contributions from leading lipidologists from around the world, this book presents the latest and most comprehensive knowledge on the different options for combination therapy of dyslipidemia and includes discussion of future therapies that are currently in late stages of clinical evaluation. Dyslipidemia is a leading cause of cardiovascular morbidity and mortality and most patients with this condition fail to achieve adequate control of their serum lipid levels with monotherapy. However, recent US and European guideline recommendations, based on randomized, controlled trials, fail to discuss combination therapy options for patients with dyslipidemia. Statins remain the mainstay of drug therapy for hyperlipidemia and chapters in this book specifically examine the role of add-on therapy with different agents modulating the different lipid fractions in the blood, e.g. bile acid sequestrants, fibric acid derivatives (fibrates), omega-3 fatty acids (fish oils), inhibitors of Niemann-Pick C1 like 1 (NPC1L1) protein, cholesteryl ester transfer protein (CETP), apolipoprotein B-100 and microsomal triglyceride transfer protein (MTP) and the emerging proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors. There is additional discussion of the role of non-drug therapy options such as nutraceuticals, functional foods and lipoprotein apheresis. The book also discusses the combination of antihypertensive drugs with lipid-lowering drugs in the management of cardiovascular risk in patents with dyslipidemia.

DKK 795.00
1

Intelligent Computing Theories and Methodologies - - Bog - Springer International Publishing AG - Plusbog.dk

Intelligent Computing Theories and Methodologies - - Bog - Springer International Publishing AG - Plusbog.dk

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

DKK 416.00
1

Intelligent Computing Theories and Methodologies - - Bog - Springer International Publishing AG - Plusbog.dk

Intelligent Computing Theories and Methodologies - - Bog - Springer International Publishing AG - Plusbog.dk

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

DKK 416.00
1

Empowering Novel Geometric Algebra for Graphics and Engineering - - Bog - Springer International Publishing AG - Plusbog.dk

Emerging Trends in Immunomodulatory Nanomaterials Toward Cancer Therapy - Vijay Sagar Madamsetty - Bog - Springer International Publishing AG -

Intelligent Computing in Bioinformatics - - Bog - Springer International Publishing AG - Plusbog.dk

Advances in Bioinformatics and Computational Biology - - Bog - Springer International Publishing AG - Plusbog.dk

The Basics of Molecular Biology - Alexander Vologodskii - Bog - Springer International Publishing AG - Plusbog.dk

Graph Mining - Christos Faloutsos - Bog - Springer International Publishing AG - Plusbog.dk

Graph Mining - Christos Faloutsos - Bog - Springer International Publishing AG - Plusbog.dk

What does the Web look like? How can we find patterns, communities, outliers, in a social network? Which are the most central nodes in a network? These are the questions that motivate this work. Networks and graphs appear in many diverse settings, for example in social networks, computer-communication networks (intrusion detection, traffic management), protein-protein interaction networks in biology, document-text bipartite graphs in text retrieval, person-account graphs in financial fraud detection, and others.In this work, first we list several surprising patterns that real graphs tend to follow. Then we give a detailed list of generators that try to mirror these patterns. Generators are important, because they can help with "what if" scenarios, extrapolations, and anonymization. Then we provide a list of powerful tools for graph analysis, and specifically spectral methods (Singular Value Decomposition (SVD)), tensors, and case studies like the famous "pageRank" algorithm and the "HITS" algorithm for ranking web search results. Finally, we conclude with a survey of tools and observations from related fields like sociology, which provide complementary viewpoints.Table of Contents: Introduction / Patterns in Static Graphs / Patterns in Evolving Graphs / Patterns in Weighted Graphs / Discussion: The Structure of Specific Graphs / Discussion: Power Laws and Deviations / Summary of Patterns / Graph Generators / Preferential Attachment and Variants / Incorporating Geographical Information / The RMat / Graph Generation by Kronecker Multiplication / Summary and Practitioner''s Guide / SVD, Random Walks, and Tensors / Tensors / Community Detection / Influence/Virus Propagation and Immunization / Case Studies / Social Networks / Other Related Work / Conclusions

DKK 307.00
1

Artificial Intelligence for Molecular Biology - Sheraz Ahmed - Bog - Springer International Publishing AG - Plusbog.dk

Artificial Intelligence for Molecular Biology - Sheraz Ahmed - Bog - Springer International Publishing AG - Plusbog.dk

The integration of artificial intelligence (AI) into molecular biology has brought about a paradigm shift, enabling researchers to tackle some of the most challenging problems in life sciences. This second volume builds upon the foundational principles explored in Volume I, delving into advanced AI methodologies and their applications in understanding biological sequences at a granular level. From word embeddings to language models, this volume examines the state-of-the-art techniques driving progress in molecular biology. The chapters in this volume are structured to provide an in-depth exploration of AI methods and their transformative impact on DNA, RNA, protein, and peptide analysis:Word Embedding Methods: This chapter explores the evolution of word embedding techniques, including foundational models like Word2Vec, FastText, and GloVe, as well as advanced graph-based embeddings such as DeepWalk, Node2Vec, and Struc2Vec. These embeddings have revolutionized sequence representation, providing powerful tools for analyzing biological data. Large Language Models: Language models have reshaped the landscape of computational biology. This chapter examines models like ULMFiT, BERT, and cutting-edge tools like AlphaFold and RNAFormer, which have set new benchmarks in structure prediction and sequence analysis. AI-Driven Insights into DNA Sequence Analysis Landscape: AI has unlocked new possibilities in DNA analysis. This chapter reviews methodologies, datasets, and predictive pipelines, offering insights into the performance and distribution of research across various benchmarks. AI-Driven Insights into RNA Sequence Analysis Landscape: RNA, with its unique roles and complexities, benefits significantly from AI approaches. This chapter investigates datasets, predictive pipelines, and performance metrics specific to RNA analysis. AI-Driven Insights into Protein Sequence Analysis Landscape: Proteins, central to numerous biological processes, are analyzed using AI-driven techniques. This chapter discusses embedding-based and language model-based methods, as well as the resources and benchmarks available for protein analysis. AI-Driven Revolution in Peptide Classification Landscape: Peptides, due to their diverse biological roles, pose unique challenges. This chapter provides a thorough examination of peptide classification, exploring AI methodologies, datasets, evaluation strategies, and the state-of-the-art performance of predictive models. Volume II provides a detailed narrative of how advanced AI methodologies are transforming the study of molecular biology. Each chapter bridges the gap between theoretical advancements and practical applications, equipping researchers and practitioners with the knowledge needed to drive innovation in this interdisciplinary field.

DKK 705.00
1