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Book ChapterDOI

Introduction to Computational and Bioinformatics Tools in Virology

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TLDR
One of the crucial tasks of bioinformatics is also the analysis of protein–protein interaction network and biochemical pathway, which can help elucidate information at the biological systems level.
Abstract
Viruses are a primary factor in the human infectious disease. Viral disease outbreaks and timely epidemics to different parts of the world cause severe clinical manifestations and congenital malformations. Understanding the structure–function correlation in viruses is an essential phenomenon for the identification of a potential target for the inhibitors and vaccine development. In virology research, virus-related databases and bioinformatics tools are essential equipment to distinguish the relationship between different datasets about viruses and host–virus interactions. Bioinformatics analysis includes different tasks such as sequence alignment, homology searching, identification of open reading frames, motif, and gene prediction. It is also essential for the prediction of features such as transmembrane domains, glycosylation sites, and protein secondary and tertiary structure prediction. One of the crucial tasks of bioinformatics is also the analysis of protein–protein interaction network and biochemical pathway, which can help elucidate information at the biological systems level. Microarray analysis provides methods for high throughput screening and gene expression profiling.

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Book ChapterDOI

Viroinformatics: a modern approach to counter viral diseases through computational informatics

TL;DR: In this article, different sources of various information, tools, and other utilities used in virology will be presented, and this will open doors for new and effective therapeutic discoveries, including preparation of a major list of viroinformatics resources, categorization of these resources, and comparison of tools performing similar tasks concerning different criteria (priority, prevalence, fidelity; the vastness of genomic sequence pool; uniqueness of features; availability of web interface).
References
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Journal ArticleDOI

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TL;DR: Glide approximates a complete systematic search of the conformational, orientational, and positional space of the docked ligand to find the best docked pose using a model energy function that combines empirical and force-field-based terms.
Journal ArticleDOI

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Journal ArticleDOI

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TL;DR: There is a need to develop an automated, rapid, robust, sensitive, and accurate comparative modeling pipeline applicable to whole genomes and to encourage new kinds of applications for the many resulting models, based on their large number and completeness at the level of the family, organism, or functional network.
Journal ArticleDOI

Dynamics of folded proteins

TL;DR: The dynamics of a folded globular protein have been studied by solving the equations of motion for the atoms with an empirical potential energy function and suggest that the protein interior is fluid-like in that the local atom motions have a diffusional character.
Journal ArticleDOI

Protein Structure Prediction and Structural Genomics

TL;DR: This Viewpoint begins by describing the essential features of the methods, the accuracy of the models, and their application to the prediction and understanding of protein function, both for single proteins and on the scale of whole genomes.
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