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Data Mining in Structural Biology

Author : I. Schlichting
Publisher : Springer
Page : 209 pages
File Size : 17,51 MB
Release : 2014-04-18
Category : Science
ISBN : 9783662046470

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Structural biology is becoming a routine technique for structure de termination in pharmaceutical industries. The advances in molecular biology, crystal handling and data collection techniques, tunable syn chrotron radiation sources, and high-performance computing have all contributed to developments such as the production and expression of tailored protein domains, the use of the MAD (Multiple Anomalous Dispersion) method, and the collection of X-ray data from tiny crystals at cryogenic temperature. The number of protein structures deposited in the Protein Databank has increased tremendously over the last 3-4 years. Since 1997, more than 1,500 structures have been deposited each year, and during the first 7 months of this year, 1,500 protein structures were already deposited. The numerous initiatives in the field of "structural genomics" distributed all over the world have led to the development of techniques for high-throughput structure determina tion, thereby contributing to the increase in the determination of three dimensional protein structures. This structural information is being ex plored in various ways in the drug discovery process. It is not only used in structure-based drug design of new low-molecular-weight li gands, but also in the early stages of target validation and assessment. With the number of protein sequences without significant homology to well-known proteins increasing, the technique of structure-sequence compatibility (threading) is increasingly used to assign a function to a given protein fold.

Biological Data Mining

Author : Jake Y. Chen
Publisher : CRC Press
Page : 736 pages
File Size : 25,40 MB
Release : 2009-09-01
Category : Computers
ISBN : 1420086855

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Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biological Data Mining presents comprehensive data mining concepts, theories, and applications in current biological and medical research. Each chapter is written by a distinguished team of interdisciplin

Data Mining for Systems Biology

Author : Hiroshi Mamitsuka
Publisher : Humana
Page : 243 pages
File Size : 49,95 MB
Release : 2019-08-04
Category : Science
ISBN : 9781493993260

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This fully updated book collects numerous data mining techniques, reflecting the acceleration and diversity of the development of data-driven approaches to the life sciences. The first half of the volume examines genomics, particularly metagenomics and epigenomics, which promise to deepen our knowledge of genes and genomes, while the second half of the book emphasizes metabolism and the metabolome as well as relevant medicine-oriented subjects. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that is useful for getting optimal results. Authoritative and practical, Data Mining for Systems Biology: Methods and Protocols, Second Edition serves as an ideal resource for researchers of biology and relevant fields, such as medical, pharmaceutical, and agricultural sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data mining, visualization systems, and machine learning or artificial intelligence that now are central to the paradigm-altering discoveries being made with a higher frequency.

Data Mining in Bioinformatics

Author : Jason T. L. Wang
Publisher : Springer Science & Business Media
Page : 356 pages
File Size : 42,25 MB
Release : 2005
Category : Computers
ISBN : 9781852336714

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Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease detection, and phylogenetic knowledge discovery.

Data Mining in Structural Biology

Author : I. Schlichting
Publisher : Springer Science & Business Media
Page : 239 pages
File Size : 26,5 MB
Release : 2013-04-17
Category : Science
ISBN : 3662046458

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Structural biology is becoming a routine technique for structure de termination in pharmaceutical industries. The advances in molecular biology, crystal handling and data collection techniques, tunable syn chrotron radiation sources, and high-performance computing have all contributed to developments such as the production and expression of tailored protein domains, the use of the MAD (Multiple Anomalous Dispersion) method, and the collection of X-ray data from tiny crystals at cryogenic temperature. The number of protein structures deposited in the Protein Databank has increased tremendously over the last 3-4 years. Since 1997, more than 1,500 structures have been deposited each year, and during the first 7 months of this year, 1,500 protein structures were already deposited. The numerous initiatives in the field of "structural genomics" distributed all over the world have led to the development of techniques for high-throughput structure determina tion, thereby contributing to the increase in the determination of three dimensional protein structures. This structural information is being ex plored in various ways in the drug discovery process. It is not only used in structure-based drug design of new low-molecular-weight li gands, but also in the early stages of target validation and assessment. With the number of protein sequences without significant homology to well-known proteins increasing, the technique of structure-sequence compatibility (threading) is increasingly used to assign a function to a given protein fold.

Biological Data Mining in Protein Interaction Networks

Author : Li, Xiao-Li
Publisher : IGI Global
Page : 450 pages
File Size : 43,29 MB
Release : 2009-05-31
Category : Technology & Engineering
ISBN : 1605663999

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"The goal of this book is to disseminate research results and best practices from cross-disciplinary researchers and practitioners interested in, and working on bioinformatics, data mining, and proteomics"--Provided by publisher.

Data Mining in Structural Biology

Author : I. Schlichting
Publisher : Springer
Page : 232 pages
File Size : 47,20 MB
Release : 2001-05-15
Category : Computers
ISBN :

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Structural biology is becoming a routine technique for structure de termination in pharmaceutical industries. The advances in molecular biology, crystal handling and data collection techniques, tunable syn chrotron radiation sources, and high-performance computing have all contributed to developments such as the production and expression of tailored protein domains, the use of the MAD (Multiple Anomalous Dispersion) method, and the collection of X-ray data from tiny crystals at cryogenic temperature. The number of protein structures deposited in the Protein Databank has increased tremendously over the last 3-4 years. Since 1997, more than 1,500 structures have been deposited each year, and during the first 7 months of this year, 1,500 protein structures were already deposited. The numerous initiatives in the field of "structural genomics" distributed all over the world have led to the development of techniques for high-throughput structure determina tion, thereby contributing to the increase in the determination of three dimensional protein structures. This structural information is being ex plored in various ways in the drug discovery process. It is not only used in structure-based drug design of new low-molecular-weight li gands, but also in the early stages of target validation and assessment. With the number of protein sequences without significant homology to well-known proteins increasing, the technique of structure-sequence compatibility (threading) is increasingly used to assign a function to a given protein fold.

Data Mining in Biomedicine

Author : Panos M. Pardalos
Publisher : Springer Science & Business Media
Page : 577 pages
File Size : 49,25 MB
Release : 2008-12-10
Category : Medical
ISBN : 038769319X

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This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive reviews of recent trends in the field. The book addresses incorporation of data mining in fundamental areas of biomedical research: genomics, proteomics, protein characterization, and neuroscience.

Data Mining Techniques for the Life Sciences

Author : Oliviero Carugo
Publisher : Humana
Page : 390 pages
File Size : 23,72 MB
Release : 2022-05-05
Category : Science
ISBN : 9781071620946

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This third edition details new and updated methods and protocols on important databases and data mining tools. Chapters guides readers through archives of macromolecular sequences and three-dimensional structures, databases of protein-protein interactions, methods for prediction conformational disorder, mutant thermodynamic stability, aggregation, and drug response. Quality of structural data and their release, soft mechanics applications in biology, and protein flexibility are considered, too, together with pan-genome analyses, rational drug combination screening and Omics Deep Mining. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials, includes step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Data Mining Techniques for the Life Sciences, Third Edition aims to be a practical guide to researches to help further their study in this field.