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Author: Russ B Altman Publisher: World Scientific Publishing Company ISBN: 9814366498 Category : Mathematics Languages : en Pages : 455
Book Description
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: Russ B Altman Publisher: World Scientific Publishing Company ISBN: 9814366498 Category : Mathematics Languages : en Pages : 455
Book Description
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: Publisher: Academic Press ISBN: 0128143452 Category : Science Languages : en Pages : 290
Book Description
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: Publisher: Elsevier ISBN: 0443193436 Category : Science Languages : en Pages : 448
Book Description
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 Publisher: CRC Press ISBN: 1000988708 Category : Medical Languages : en Pages : 478
Book Description
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 Publisher: Elsevier ISBN: 0323958915 Category : Science Languages : en Pages : 317
Book Description
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 Publisher: Frontiers Media SA ISBN: 288963650X Category : Languages : en Pages : 270
Book Description
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: Publisher: Academic Press ISBN: 0128168528 Category : Science Languages : en Pages : 424
Book Description
"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: Anupam Yadav Publisher: Springer Nature ISBN: 9819946263 Category : Technology & Engineering Languages : en Pages : 830
Book Description
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 Publisher: Frontiers Media SA ISBN: 288963521X Category : Languages : en Pages : 148
Book Description
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: Russ B Altman
Author: Russ B Altman
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Author: 
Author: Rajani Sharma
Author: Mohd. Tashfeen Ashraf
Author: Marco Pellegrini
Author: 
Author: Guenther Witzany
Author: Anupam Yadav
Author: Danyel Jennen