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Structural bioinformatics tools for ...

Koca, Jaroslav.

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Structural bioinformatics tools for drug design = extraction of biologically relevant information from structural databases /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Structural bioinformatics tools for drug design/ by Jaroslav Koca ... [et al.].
Reminder of title:	extraction of biologically relevant information from structural databases /
other author:	Koca, Jaroslav.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xiii, 144 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction -- 2. Biomacromolecular fragments -- 3. Databases -- 4. Detection & Extraction -- a. Biomacromolecular fragments and structural patterns -- b. channels and pores -- 5. Validation -- 6. Characterization -- a. Partial atomic charges -- b. Channel characteristics -- 7. Selected Examples.
Contained By:	Springer eBooks
Subject:	Structural bioinformatics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-47388-8
ISBN:	9783319473888

Structural bioinformatics tools for drug design = extraction of biologically relevant information from structural databases /
Structural bioinformatics tools for drug designextraction of biologically relevant information from structural databases /[electronic resource] :by Jaroslav Koca ... [et al.]. - Cham :Springer International Publishing :2016. - xiii, 144 p. :ill., digital ;24 cm. - SpringerBriefs in biochemistry and molecular biology,2211-9353. - SpringerBriefs in biochemistry and molecular biology..

1. Introduction -- 2. Biomacromolecular fragments -- 3. Databases -- 4. Detection & Extraction -- a. Biomacromolecular fragments and structural patterns -- b. channels and pores -- 5. Validation -- 6. Characterization -- a. Partial atomic charges -- b. Channel characteristics -- 7. Selected Examples.

A large amount of structural data on biomacromolecules is available and the number of resolved structures is growing rapidly. This implies that we have an increasing opportunity to perform so far unprecedented analyses to obtain crucial biological insight. Biomacromolecular structural fragments such as binding sites or active sites, ligands, channels, pores, secondary structure motifs, etc., become very promising objects for these analyses because such fragments often serve as drug targets or drug templates, or substrate-specific pathways. However, such analyses are very challenging due to their complexity and, consequently, also because they require application of a combination of different software tools. In this book, we describe individual steps necessary for analysis of biomacromolecular fragments and provide a lsit of software tools required to perform such steps. For each step, we also show corresponding web-based tools in detail and provide a few practical examples of their usage.

ISBN: 9783319473888

Standard No.: 10.1007/978-3-319-47388-8doiSubjects--Topical Terms:

572921
Structural bioinformatics.

LC Class. No.: QH324.2

Dewey Class. No.: 572.330285

Structural bioinformatics tools for drug design = extraction of biologically relevant information from structural databases /
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300 $a xiii, 144 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in biochemistry and molecular biology, $x 2211-9353
505 0 $a 1. Introduction -- 2. Biomacromolecular fragments -- 3. Databases -- 4. Detection & Extraction -- a. Biomacromolecular fragments and structural patterns -- b. channels and pores -- 5. Validation -- 6. Characterization -- a. Partial atomic charges -- b. Channel characteristics -- 7. Selected Examples.
520 $a A large amount of structural data on biomacromolecules is available and the number of resolved structures is growing rapidly. This implies that we have an increasing opportunity to perform so far unprecedented analyses to obtain crucial biological insight. Biomacromolecular structural fragments such as binding sites or active sites, ligands, channels, pores, secondary structure motifs, etc., become very promising objects for these analyses because such fragments often serve as drug targets or drug templates, or substrate-specific pathways. However, such analyses are very challenging due to their complexity and, consequently, also because they require application of a combination of different software tools. In this book, we describe individual steps necessary for analysis of biomacromolecular fragments and provide a lsit of software tools required to perform such steps. For each step, we also show corresponding web-based tools in detail and provide a few practical examples of their usage.
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