Computational Methods for Predicting Post-Translational Modification Sites
Computational Methods for Predicting Post-Translational Modification Sites

Author: Dukka B. KC

Publisher: Springer Nature

Published: 2022-06-13

Total Pages: 337

ISBN-13: 1071623176

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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.

Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Author: Yi Pan

Publisher: John Wiley & Sons

Published: 2013-10-07

Total Pages: 534

ISBN-13: 1118567811

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Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest developments in protein bioinformatics, introducing for the first time cutting-edge research results alongside novel algorithmic and AI methods for the analysis of protein data. In one complete, self-contained volume, Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics addresses key challenges facing both computer scientists and biologists, arming readers with tools and techniques for analyzing and interpreting protein data and solving a variety of biological problems. Featuring a collection of authoritative articles by leaders in the field, this work focuses on the analysis of protein sequences, structures, and interaction networks using both traditional algorithms and AI methods. It also examines, in great detail, data preparation, simulation, experiments, evaluation methods, and applications. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics: Highlights protein analysis applications such as protein-related drug activity comparison Incorporates salient case studies illustrating how to apply the methods outlined in the book Tackles the complex relationship between proteins from a systems biology point of view Relates the topic to other emerging technologies such as data mining and visualization Includes many tables and illustrations demonstrating concepts and performance figures Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics is an essential reference for bioinformatics specialists in research and industry, and for anyone wishing to better understand the rich field of protein bioinformatics.

Developability of Biotherapeutics
Developability of Biotherapeutics

Author: Sandeep Kumar

Publisher: CRC Press

Published: 2015-11-18

Total Pages: 312

ISBN-13: 1482246155

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Biopharmaceuticals are emerging as frontline medicines to combat several life-threatening and chronic diseases. However, such medicines are expensive to develop and produce on a commercial scale, contributing to rising healthcare costs. Developability of Biotherapeutics: Computational Approaches describes applications of computational and molecular

Concepts and Techniques in Genomics and Proteomics
Concepts and Techniques in Genomics and Proteomics

Author: N Saraswathy

Publisher: Elsevier

Published: 2011-07-01

Total Pages: 271

ISBN-13: 1908818050

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Concepts and techniques in genomics and proteomics covers the important concepts of high-throughput modern techniques used in the genomics and proteomics field. Each technique is explained with its underlying concepts, and simple line diagrams and flow charts are included to aid understanding and memory. A summary of key points precedes each chapter within the book, followed by detailed description in the subsections. Each subsection concludes with suggested relevant original references. - Provides definitions for key concepts - Case studies are included to illustrate ideas - Important points to remember are noted

An Introduction to Computational Biochemistry
An Introduction to Computational Biochemistry

Author: C. Stan Tsai

Publisher: John Wiley & Sons

Published: 2003-03-31

Total Pages: 381

ISBN-13: 0471461091

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This comprehensive text offers a solid introduction to the biochemical principles and skills required for any researcher applying computational tools to practical problems in biochemistry. Each chapter includes an introduction to the topic, a review of the biological concepts involved, a discussion of the programming and applications used, key references, and problem sets and answers. Providing detailed coverage of biochemical structures, enzyme reactions, metabolic simulation, genomic and proteomic analyses, and molecular modeling, this is the perfect resource for students and researchers in biochemistry, bioinformatics, bioengineering and computational science.

Microbial Comparative Genomics and Pangenomics: New Tools, Approaches And Insights Into Gene and Genome Evolution
Microbial Comparative Genomics and Pangenomics: New Tools, Approaches And Insights Into Gene and Genome Evolution

Author: Paulo Jorge Dias

Publisher: Frontiers Media SA

Published: 2024-11-11

Total Pages: 224

ISBN-13: 2832556507

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Comparative Genomics is the field of knowledge dedicated to the analysis and comparison of genes and genomes. The scientific areas comprised in this field include subjects as diverse as (just naming a few): 1) the development of algorithms for the alignment of genes, whole genomes, short- and long sequencing reads, 2) the search for remote sequence similarity, 3) the discovery of motifs and sequence patterns, 4) the identification of gene families, 5) the detection of ortholog/paralog groups, 6) the reconstruction of evolutionary history of the genes, 7) the detection of signs of selective forces exerted over genes and genomes, 8) the reconstruction of ancestral DNA and genome sequences, 9) the detection and analysis of genome synteny, 10) the inference of ancestral gene order, among others. In addition, an important new sub-field of Comparative Genomics has emerged in the last decade, referred to as Pangenomics, making available improved tools to analyze the exponential genomic data accumulating since the development of Second- and Third-Generation Sequencing Technologies.

Proteins
Proteins

Author: Thomas E. Creighton

Publisher: Macmillan

Published: 1993

Total Pages: 534

ISBN-13: 9780716770305

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Organized on a combined basis of chronology and of structural and functional hierarchy, This comprehensive text describes all aspects of proteins--biosynthesis, evolution, dynamics, ligand binding, catalysis, and energy transduction--not just their structures. This edition (first was 1984) is thoroughly updated--especially in the area of protein biosynthesis--and features end-of-chapter exercises and problems, many of which require the student to consult the cited literature in order to obtain the answer. Annotation copyright by Book News, Inc., Portland, OR

The Proteomics Protocols Handbook
The Proteomics Protocols Handbook

Author: John M. Walker

Publisher: Springer Science & Business Media

Published: 2007-10-09

Total Pages: 969

ISBN-13: 1592598900

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Hands-on researchers describe in step-by-step detail 73 proven laboratory methods and bioinformatics tools essential for analysis of the proteome. These cutting-edge techniques address such important tasks as sample preparation, 2D-PAGE, gel staining, mass spectrometry, and post-translational modification. There are also readily reproducible methods for protein expression profiling, identifying protein-protein interactions, and protein chip technology, as well as a range of newly developed methodologies for determining the structure and function of a protein. The bioinformatics tools include those for analyzing 2D-GEL patterns, protein modeling, and protein identification. All laboratory-based protocols follow the successful Methods in Molecular BiologyTM series format, each offering step-by-step laboratory instructions, an introduction outlining the principle behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding known pitfalls.

Agricultural Bioinformatics
Agricultural Bioinformatics

Author: Kavi Kishor P.B.

Publisher: Springer

Published: 2014-07-14

Total Pages: 296

ISBN-13: 8132218809

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A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.