9789814366496

Author : Russ B Altman,A Keith Dunker,Lawrence Hunter,Tiffany A Murray,Teri E Klein
Publisher : World Scientific Publishing Company
Page : 455 pages
File Size : 43,9 Mb
Release : 2011-12-08
Category : Mathematics
ISBN : 9789814366496

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9789814366496 by Russ B Altman,A Keith Dunker,Lawrence Hunter,Tiffany A Murray,Teri E Klein Pdf

The Pacific Symposium on Biocomputing (PSB) 2012 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in the problems of biological significance. Presentations are rigorously peer-reviewed and are published in an archival proceedings volume. PSB 2012 will be held on January 3 – 7, 2012 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference. PSB 2012 will bring together top researchers from the US, the Asian Pacific nations, and countries around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods as applied to biological problems, with emphasis on the applications in the data-rich areas of molecular biology. The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's “hot topics.” In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Author : Anonim
Publisher : Academic Press
Page : 288 pages
File Size : 47,8 Mb
Release : 2018-02-03
Category : Science
ISBN : 9780128143452

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Protein-Protein Interactions in Human Disease by Anonim Pdf

Protein-Protein Interactions in Human Disease, Part A, Volume 110 aims to promote further research and development in the protein interaction network as a means to not only identify the critical proteins involved in the etiology of human diseases, but also identify new protein targets for drug development. Sections cover such topics as protein-protein interaction modulators for epigenetic therapies, intrinsic disorder, protein-protein interactions and disease, targeting protein-protein interactions in the ubiquitin-proteasome pathway, the proteomics of occupational diseases, and computational methods in predicting the impact of SNPs in protein-protein network, amongst other topics. Describes advances in the application of powerful techniques in studying and analyzing protein-protein interactions Targeted to a wide audience of researchers, specialists and students Written by authorities in their field Includes information that is well supported by a number of high quality illustrations, figures and tables

Author : Anonim
Publisher : Elsevier
Page : 448 pages
File Size : 47,8 Mb
Release : 2024-01-11
Category : Science
ISBN : 9780443193439

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Advances in Protein Chemistry and Structural Biology by Anonim Pdf

Advances in Protein Chemistry and Structural Biology, Volume 138 covers reviews of methodology and research in all aspects of protein chemistry, including purification/expression, proteomics, modeling and structural determination and design. Chapters in this release include Proteomic Applications in Identifying Protein-Protein Interactions, Understanding functions of eEF1 translation elongation factors beyond translation. A proteomic approach, Proteomics provides insights into theranostic potential of extracellular vesicles, Towards a shareable functional analysis of the structural proteome, Functional unfoldomics, In-silico Network Pharmacology Study on Glycyrrhiza glabra: Analyzing the Immune-Boosting phytochemical properties of Siddha Medicinal Plant against COVID-19, and more. Other chapters cover In silico Network Pharmacology Analysis and Molecular Docking Validation of Swasa Kudori for Screening Druggable Phytoconstituents of Asthma, Proteomics and Genomics Insights on Malignant Osteosarcoma, Application of functional proteomics in understanding RNA Virus-Mediated Infection, Biofilm proteome of Staphylococcus aureus: implications for therapeutic interventions to biofilm-associated infections, A computational pipeline elucidating functions of conserved hypothetical Trypanosoma cruzi proteins based on public proteomic data, Functional Proteomics based on Protein Microarray Technology for Biomedical Research, and an Analysis of endoglucanases production using proteomics and metatranscriptomics. Includes new information about Protein Aggregation Presents chapters by a wide range of leading experts Cover new, cutting-edge information that will serve as an essential addition to any bookshelf or laboratory

Author : Rajani Sharma,A. V. Senthil Kumar,Kunal Kumar
Publisher : CRC Press
Page : 478 pages
File Size : 47,9 Mb
Release : 2024-08-16
Category : Medical
ISBN : 9781000988703

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Computational Biology in Drug Discovery and Repurposing by Rajani Sharma,A. V. Senthil Kumar,Kunal Kumar Pdf

This new book takes an in-depth look at the emerging and prospective field of computational biology and bioinformatics, which possesses the ability to analyze large accumulated biological data collected from sequence analysis of proteins and genes and cell population with an aim to make new predictions pertaining to drug discovery and new biology. The book explains the basic methodology associated with a bioinformatics and computational approach in drug designing. It then goes on to cover the implementation of computational programming, bioinformatics, pharmacophore modeling, biotechnological techniques, and pharmaceutical chemistry in designing drugs. The major advantage of intervention of computer language or programming is to cut down the number of steps and costs in the field of drug designing, reducing the repeating steps and saving time in screening the potent component for drug or vaccine designing. The book describes algorithms used for drug designing and the use of machine learning and AI in drug delivery and disease diagnosis, which are valuable in clinical decision-making. The implementation of robotics in different diseases like stroke, cancer, COVID-19, etc. is also addressed. Topics include machine learning, AI, databases in drug design, molecular docking, bioinformatics tools, target-based drug design, and immunoinformatics, chemoinformatics, and nanoinformatics in drug design. Drug repurposing in drug design in general as well as for specific diseases, including cancer, Alzheimer’s disease, tuberculosis, COVID-19, etc., is also addressed in depth.

Author : Mohd. Tashfeen Ashraf,Abdul Arif Khan,Fahad M. Aldakheel
Publisher : Elsevier
Page : 317 pages
File Size : 52,6 Mb
Release : 2024-02-16
Category : Science
ISBN : 9780323958912

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Systems Biology Approaches for Host-Pathogen Interaction Analysis by Mohd. Tashfeen Ashraf,Abdul Arif Khan,Fahad M. Aldakheel Pdf

System Biology Approaches for Microbial Pathogenesis Interaction Analysis aids biological researchers to expand their research scope using piled up data generated through recent technological advancement. In addition, it also opens avenues for bioinformatics and computer science researchers to utilize their expertise in biological meaningful ways. It also covers network biology approaches to decipher complex multiple host-pathogen interactions in addition to giving valuable coverage of artificial intelligence. The host-pathogen interactions are generally considered as highly specific interactions leading to a variety of consequences. The utilization of data science approaches has revolutionized scientific research including host-pathogen interaction analyses. Data science approaches coupled with network biology has taken host-pathogen interaction analysis from specific interaction to a new paradigm of understanding consequences of these interaction in the biological network. Unfortunately, basic biological researchers are mostly unaware of these advancements. In contrast, data scientists are not familiar with biological aspects of such data. System Biology Approaches for Microbial Pathogenesis Interaction Analysis will bridge these gaps through a new paradigm of understanding consequences of interaction in biological networks. Covers network biology approaches to decipher complex multiple host-pathogen interactions Gives the biological researcher insights into artificial intelligence, providing an additional competitive edge Provides a new paradigm for understanding the consequences of interactions in biological networks

Author : Marco Pellegrini,Marco Antoniotti,Bud Mishra
Publisher : Frontiers Media SA
Page : 270 pages
File Size : 45,7 Mb
Release : 2020-03-27
Category : Electronic
ISBN : 9782889636501

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Network Bioscience, 2nd Edition by Marco Pellegrini,Marco Antoniotti,Bud Mishra Pdf

Network science has accelerated a deep and successful trend in research that influences a range of disciplines like mathematics, graph theory, physics, statistics, data science and computer science (just to name a few) and adapts the relevant techniques and insights to address relevant but disparate social, biological, technological questions. We are now in an era of 'big biological data' supported by cost-effective high-throughput genomic, transcriptomic, proteomic, metabolomic data collection techniques that allow one to take snapshots of the cells' molecular profiles in a systematic fashion. Moreover recently, also phenotypic data, data on diseases, symptoms, patients, etc. are being collected at nation-wide level thus giving us another source of highly related (causal) 'big data'. This wealth of data is usually modeled as networks (aka binary relations, graphs or webs) of interactions, (including protein-protein, metabolic, signaling and transcription-regulatory interactions). The network model is a key view point leading to the uncovering of mesoscale phenomena, thus providing an essential bridge between the observable phenotypes and 'omics' underlying mechanisms. Moreover, network analysis is a powerful 'hypothesis generation' tool guiding the scientific cycle of 'data gathering', 'data interpretation, 'hypothesis generation' and 'hypothesis testing'. A major challenge in contemporary research is the synthesis of deep insights coming from network science with the wealth of data (often noisy, contradictory, incomplete and difficult to replicate) so to answer meaningful biological questions, in a quantifiable way using static and dynamic properties of biological networks.

Author : Min Tang,Jialiang Yang,Cheng Guo,Ling Kui
Publisher : Frontiers Media SA
Page : 337 pages
File Size : 42,8 Mb
Release : 2022-12-19
Category : Medical
ISBN : 9782832509319

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Computational tools in inferring cancer tissue-of-origin and molecular classification towards personalized cancer therapy, Volume III by Min Tang,Jialiang Yang,Cheng Guo,Ling Kui Pdf

Author : Anonim
Publisher : Academic Press
Page : 424 pages
File Size : 51,8 Mb
Release : 2019-09-11
Category : Science
ISBN : 9780128168523

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Dancing protein clouds: Intrinsically disordered proteins in health and disease, Part A by Anonim Pdf

"Dancing protein clouds: Intrinsically disordered proteins in the norm and pathology" represents a set of selected studies on a variety of research topics related to intrinsically disordered proteins. Topics in this update include structural and functional characterization of several important intrinsically disordered proteins, such as 14-3-3 proteins and their partners, as well as proteins from muscle sarcomere; representation of intrinsic disorder-related concept of protein structure-function continuum; discussion of the role of intrinsic disorder in phenotypic switching; consideration of the role of intrinsically disordered proteins in the pathogenesis of neurodegenerative diseases and cancer; discussion of the roles of intrinsic disorder in functional amyloids; demonstration of the usefulness of the analysis of translational diffusion of unfolded and intrinsically disordered proteins; consideration of various computational tools for evaluation of functions of intrinsically disordered regions; and discussion of the role of shear stress in the amyloid formation of intrinsically disordered regions in the brain. Provides some recent studies on the intrinsically disordered proteins and their functions, as well as on the involvement of intrinsically disordered proteins in pthogenesis of various diseases Contains numerous illustrative materials (color figures, diagrams, and tables) to help the readers to delve in the information provided Includes contributions from recognized experts in the field

Author : Guenther Witzany
Publisher : Springer Nature
Page : 441 pages
File Size : 47,9 Mb
Release : 2024-07-04
Category : Electronic
ISBN : 9783031592867

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Epigenetics in Biological Communication by Guenther Witzany Pdf

Author : Anupam Yadav,Satyasai Jagannath Nanda,Meng-Hiot Lim
Publisher : Springer Nature
Page : 830 pages
File Size : 51,6 Mb
Release : 2023-11-11
Category : Technology & Engineering
ISBN : 9789819946266

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Proceedings of International Conference on Paradigms of Communication, Computing and Data Analytics by Anupam Yadav,Satyasai Jagannath Nanda,Meng-Hiot Lim Pdf

This book is a collection of selected high-quality research papers presented at International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2023), held at South Asian University, New Delhi, India, during 22–23 April 2023. It discusses cutting-edge research in the areas of advanced computing, communications and data science techniques. The book is a collection of latest research articles in computation algorithm, communication and data sciences, intertwined with each other for efficiency.

Author : Danyel Jennen,Paul Jennings
Publisher : Frontiers Media SA
Page : 148 pages
File Size : 44,9 Mb
Release : 2020-02-27
Category : Electronic
ISBN : 9782889635214

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Emerging Bioinformatic Tools in Toxicogenomics by Danyel Jennen,Paul Jennings Pdf

Toxicogenomics was established as a merger of toxicology with genomics approaches and methodologies more than 15 years ago, and considered of major value for studying toxic mechanisms-of-action in greater depth and for classification of toxic agents for predicting adverse human health risks. While the original focus was on technological validation of in particular microarray-based whole genome expression analysis (transcriptomics), mainly through cross-comparing different platforms for data generation (MAQC-I), it was soon appreciated that actually the wide variety of data analysis approaches represents the major source of inter-study variation. This led to early attempts towards harmonizing data analysis protocols focusing on microarray-based models for predicting toxicological and clinical end-points and on different methods for GWAS data (MAQC-II). Simultaneously, further technological developments, geared by increasing insights into the complexity of cellular regulation, enabled analyzing molecular perturbations across multiple genomics scales (epigenomics and microRNAs, metabolomics). While these were initially still based on microarray technology, this is currently being phased out and replaced by a variety of next generation sequencing-based methods enabling exploration of genomic responses to toxicants at even greater depth (SEQC-I). This raises the demand for reliable and robust data analysis approaches, ranging from harmonized bioinformatics concepts for preprocessing raw data to non-supervised and supervised methods for capturing and integrating the dynamic perturbations of cell function across dose and time, and thus retrieving mechanistic insights across multiple regulation scales. Traditional toxicology focused on dose-dependently determining apical endpoints of toxicity. With the advent of toxicogenomics, efforts towards better understanding underlying molecular mechanisms has led to the development of the concept of Adverse Outcome Pathways, which are basically presented as a structural network of linearly related gene-gene interactions regulating key events for inducing apical toxic endpoints of interest. Impulse challenges from exposure of biological systems to toxic agents will however induce a cascade-type of events, presenting both adverse and adaptive processes, thus requiring bioinformatics approaches and methods for complex dynamic data, generated not only across dose, but clearly also across time. Currently, time-resolved toxicogenomics data sets are increasingly being assembled in the course of large-scaled research projects, for instance devoted towards developing toxicogenomics-based predictive assays for evaluating chemical safety which are no longer animal-based.

Author : M. Zouhair Atassi
Publisher : Springer Nature
Page : 137 pages
File Size : 53,5 Mb
Release : 2022-03-28
Category : Science
ISBN : 9783030964054

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Protein Reviews by M. Zouhair Atassi Pdf

The Protein Reviews series serves as a publication vehicle for reviews that focus on crucial contemporary and vital aspects of protein structure, function, evolution and genetics. Volumes are published online first, prior to publication in a printed book. Chapters are selected according to their importance to the understanding of biological systems, relevance to the unravelling of issues associated with health and disease, or impact on scientific or technological advances and developments. Volume 22 presents six review chapters authored by experts in related fields. The first chapter covers carotenoid-protein interactions. Chapter two addresses the non-continuum of eukaryotic transcriptional regulation. The third chapter reviews the structure of the regulatory and catalytic domains of the photoreceptor phosphodiesterase (PDE6) holoenzyme. Chapter four reviews the current knowledge on small molecule compounds that have been evaluated as rhodopsin modulators to be considered as leads for the development of novel therapies for retinitis pigmentosa. Chapter five deals with Plasticity-associated functionality and inhibition of the HIV protease. Finally, chapter six covers single-run catalysis and kinetic control of human telomerase holoenzyme. This volume is intended for research scientists, clinicians, physicians and graduate students in the fields of biochemistry, cell biology, molecular biology, immunology and genetics.

Author : Saliha Durmuş,Tunahan Çakır,Reinhard Guthke,Emrah Nikerel,Arzucan Özgür
Publisher : Frontiers Media SA
Page : 200 pages
File Size : 43,8 Mb
Release : 2016-05-30
Category : Electronic book
ISBN : 9782889198214

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Computational Systems Biology of Pathogen-Host Interactions by Saliha Durmuş,Tunahan Çakır,Reinhard Guthke,Emrah Nikerel,Arzucan Özgür Pdf

A thorough understanding of pathogenic microorganisms and their interactions with host organisms is crucial to prevent infectious threats due to the fact that Pathogen-Host Interactions (PHIs) have critical roles in initiating and sustaining infections. Therefore, the analysis of infection mechanisms through PHIs is indispensable to identify diagnostic biomarkers and next-generation drug targets and then to develop strategic novel solutions against drug-resistance and for personalized therapy. Traditional approaches are limited in capturing mechanisms of infection since they investigate hosts or pathogens individually. On the other hand, the systems biology approach focuses on the whole PHI system, and is more promising in capturing infection mechanisms. Here, we bring together studies on the below listed sections to present the current picture of the research on Computational Systems Biology of Pathogen-Host Interactions: - Computational Inference of PHI Networks using Omics Data - Computational Prediction of PHIs - Text Mining of PHI Data from the Literature - Mathematical Modeling and Bioinformatic Analysis of PHIs Computational Inference of PHI Networks using Omics Data Gene regulatory, metabolic and protein-protein networks of PHI systems are crucial for a thorough understanding of infection mechanisms. Great advances in molecular biology and biotechnology have allowed the production of related omics data experimentally. Many computational methods are emerging to infer molecular interaction networks of PHI systems from the corresponding omics data. Computational Prediction of PHIs Due to the lack of experimentally-found PHI data, many computational methods have been developed for the prediction of pathogen-host protein-protein interactions. Despite being emerging, currently available experimental PHI data are far from complete for a systems view of infection mechanisms through PHIs. Therefore, computational methods are the main tools to predict new PHIs. To this end, the development of new computational methods is of great interest. Text Mining of PHI Data from Literature Despite the recent development of many PHI-specific databases, most data relevant to PHIs are still buried in the biomedical literature, which demands for the use of text mining techniques to unravel PHIs hidden in the literature. Only some rare efforts have been performed to achieve this aim. Therefore, the development of novel text mining methods specific for PHI data retrieval is of key importance for efficient use of the available literature. Mathematical Modeling and Bioinformatic Analysis of PHIs After the reconstruction of PHI networks experimentally and/or computationally, their mathematical modeling and detailed computational analysis is required using bioinformatics tools to get insights on infection mechanisms. Bioinformatics methods are increasingly applied to analyze the increasing amount of experimentally-found and computationally-predicted PHI data.

Author : Yulong Niu,Xin Xu,Jin Xiao
Publisher : Frontiers Media SA
Page : 140 pages
File Size : 45,7 Mb
Release : 2023-02-02
Category : Science
ISBN : 9782832513033

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The pivotal role of oral microbiota dysbiosis and microbiota-host interactions in diseases - volume II by Yulong Niu,Xin Xu,Jin Xiao Pdf

Author : Setubal,Nikos Kyrpides
Publisher : Frontiers Media SA
Page : 223 pages
File Size : 52,8 Mb
Release : 2023-01-04
Category : Science
ISBN : 9782832506400

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Computational methods for microbiome analysis, volume 2 by Setubal,Nikos Kyrpides Pdf