Structural Bioinformatics Tools for Drug Design : Extraction of Biologically Relevant Information from Structural Databases / by Jaroslav Koca, Radka Svobodová Vareková, Luká Pravda, Karel Berka, Stanislav Geidl, David Sehnal, Michal Otyepka
By: Koča, Jaroslav
Contributor(s): Svobodová Vareková, Radka.
| Pravda, Luká
| Berka, Karel
| Geidl, Stanislav
| Sehnal, David.
| Otyepka, Michal.
Material type:
E-bookSeries: SpringerBriefs in Biochemistry and Molecular BiologyPublisher: Cham : Springer International Publishing, 2016Description: 1 recurso en línea (XIII, 144 páginas) : 62 ilustraciones.ISBN: 9783319473888.Subject: Bioinformática
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | QH324.2 2016 EB (Browse shelf(Opens below)) | .i11604098 | Acceso electrónico | eBOOK .i11604098 |
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| QH324.2 2013 EB In Silico Systems Biology | QH324.2 2014 EB In Vitro Toxicology Systems | QH324.2 2015 EB 9th International Conference on Practical Applications of Computational Biology and Bioinformatics | QH324.2 2016 EB Structural Bioinformatics Tools for Drug Design : Extraction of Biologically Relevant Information from Structural Databases | QH324.2 2016 EB Data Mining Techniques for the Life Sciences | QH324.2 2017 EB 11th International Conference on Practical Applications of Computational Biology & Bioinformatics | QH324.2 2017 EB Hidden Markov Models : Methods and Protocols |
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.
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