Computational Prediction and Analysis of Protein-carbohydrate and Protein-protein Interactions PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Computational Prediction and Analysis of Protein-carbohydrate and Protein-protein Interactions PDF full book. Access full book title Computational Prediction and Analysis of Protein-carbohydrate and Protein-protein Interactions by Chaitanya A. K. Koppisetty. Download full books in PDF and EPUB format.
Author: Chaitanya A. K. Koppisetty
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
Get Book Here
Book Description
Author: Chaitanya A. K. Koppisetty
Publisher:
ISBN:
Category :
Languages : en
Pages : 40
Get Book Here
Book Description
Author: M Michael Gromiha
Publisher: World Scientific
ISBN: 9811211884
Category : Science
Languages : en
Pages : 424
Get Book Here
Book Description
This book is indexed in Chemical Abstracts ServiceThe interactions of proteins with other molecules are important in many cellular activities. Investigations have been carried out to understand the recognition mechanism, identify the binding sites, analyze the the binding affinity of complexes, and study the influence of mutations on diseases. Protein interactions are also crucial in structure-based drug design.This book covers computational analysis of protein-protein, protein-nucleic acid and protein-ligand interactions and their applications. It provides up-to-date information and the latest developments from experts in the field, using illustrations to explain the key concepts and applications. This volume can serve as a single source on comparative studies of proteins interacting with proteins/DNAs/RNAs/carbohydrates and small molecules.
Author: Ruth Nussinov
Publisher: CRC Press
ISBN: 142007007X
Category : Science
Languages : en
Pages : 346
Get Book Here
Book Description
Often considered the workhorse of the cellular machinery, proteins are responsible for functions ranging from molecular motors to signaling. The broad recognition of their involvement in all cellular processes has led to focused efforts to predict their functions from sequences, and if available, from their structures. An overview of current resear
Author: Anna Panchenko
Publisher: Springer Science & Business Media
ISBN: 1848001258
Category : Science
Languages : en
Pages : 198
Get Book Here
Book Description
The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse. This comprehensive book provides a broad, thorough and multidisciplinary coverage of its field. It integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks.
Author: Sriganesh Srihari
Publisher: Morgan & Claypool
ISBN: 1970001534
Category : Science
Languages : en
Pages : 297
Get Book Here
Book Description
Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions. In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.
Author: Stefan Canzar
Publisher: Humana
ISBN: 9781493998722
Category : Science
Languages : en
Pages : 0
Get Book Here
Book Description
This volume explores techniques that study interactions between proteins in different species, and combines them with context-specific data, analysis of omics datasets, and assembles individual interactions into higher-order semantic units, i.e., protein complexes and functional modules. The chapters in this book cover computational methods that solve diverse tasks such as the prediction of functional protein-protein interactions; the alignment-based comparison of interaction networks by SANA; using the RaptorX-ComplexContact webserver to predict inter-protein residue-residue contacts; the docking of alternative confirmations of proteins participating in binary interactions and the visually-guided selection of a docking model using COZOID; the detection of novel functional units by KeyPathwayMiner and how PathClass can use such de novo pathways to classify breast cancer subtypes. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary hardware- and software, step-by-step, readily reproducible computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and comprehensive, Protein-Protein Interaction Networks: Methods and Protocols is a valuable resource for both novice and expert researchers who are interested in learning more about this evolving field.
Author: Anna Panchenko
Publisher: Springer
ISBN: 9781848821965
Category : Science
Languages : en
Pages : 212
Get Book Here
Book Description
The biological interactions of living organisms, and protein-protein interactions in particular, are astonishingly diverse. This comprehensive book provides a broad, thorough and multidisciplinary coverage of its field. It integrates different approaches from bioinformatics, biochemistry, computational analysis and systems biology to offer the reader a comprehensive global view of the diverse data on protein-protein interactions and protein interaction networks.
Author: Aidong Zhang
Publisher: Cambridge University Press
ISBN: 1139479032
Category : Computers
Languages : en
Pages : 283
Get Book Here
Book Description
The analysis of protein-protein interactions is fundamental to the understanding of cellular organization, processes, and functions. Proteins seldom act as single isolated species; rather, proteins involved in the same cellular processes often interact with each other. Functions of uncharacterized proteins can be predicted through comparison with the interactions of similar known proteins. Recent large-scale investigations of protein-protein interactions using such techniques as two-hybrid systems, mass spectrometry, and protein microarrays have enriched the available protein interaction data and facilitated the construction of integrated protein-protein interaction networks. The resulting large volume of protein-protein interaction data has posed a challenge to experimental investigation. This book provides a comprehensive understanding of the computational methods available for the analysis of protein-protein interaction networks. It offers an in-depth survey of a range of approaches, including statistical, topological, data-mining, and ontology-based methods. The author discusses the fundamental principles underlying each of these approaches and their respective benefits and drawbacks, and she offers suggestions for future research.
Author: Amika Sood
Publisher:
ISBN:
Category :
Languages : en
Pages : 236
Get Book Here
Book Description
Specific carbohydrate-protein interactions are crucial in numerous physiological processes, disruption of which has been implicated in many different diseases like cancer. This provides researchers an opportunity to utilize carbohydrates as biomarkers and targets for therapeutics for such diseases. There has been a tremendous surge in the research being conducted towards the development of techniques to analyze carbohydrates and their specificity and affinity for different proteins. However, owing to their complex three-dimensional structure, stereochemistry, low binding affinities and broad specificity, carbohydrates have proven to be challenging to study. Therefore, new techniques and improvements in the existing methodologies are required. Here, we show that the incorporation of experimental data into molecular modeling can be used as a powerful combination to gain an understanding of the structural features of proteins and carbohydrates leading to the specificity in their interactions. Firstly, hydroxyl radical protein footprinting (HRPF) was used to establish a relationship between the oxidation of amino acids exposed on the surface of a protein and their solvent accessible surface area (SASA). Oxidation, as well as SASA, are both directly proportional to the exposure of an amino acid to the solvent. This relationship was used to estimate SASA of residues of a protein in solution, which was then successfully utilized as a score to quantify the quality of models generated through a molecular dynamics (MD) simulation and homology modeling. This relationship can also be used to study protein- carbohydrate interactions, which remains to be tested. Secondly, the functional groups of a monosaccharide essential for forming protein-carbohydrate interactions were identified by using co-crystal structures and per-atom binding energy analysis, which shows that not all chemically-equivalent functional groups are equally significant for binding. Lastly, the 3D structure of a group of monosaccharides was analyzed and it was observed that two monosaccharides can possess structural similarities depending on their alignment, which can be used to explain cross-reactivity between a protein and more than one carbohydrate.
Author: Ranjan Kumar Barman
Publisher: LAP Lambert Academic Publishing
ISBN: 9783847319399
Category :
Languages : en
Pages : 56
Get Book Here
Book Description
Protein-protein interactions are extremely valuable towards protein functions and cellular processes or we can say that protein-protein interactions play an important role in living cells. Therefore, if we can control the interactions between proteins, as a result, we can control some functionality of cells. Main functionality of a protein is carried out by its domains. So, domain is a structural or/and functional unit of protein. Behind protein-protein interactions there exist some domain-domain interactions. Therefore, under standing protein-protein interaction at domain level gives a global view of protein-protein interaction network.In this book, we have made an attempt to infer domain-domain interactions from interacting and non-interacting protein pairs then we have predicted protein-protein interactions based on inferred domain-domain interactions.
