'Protein backbone' diaporamas de présentation

Protein backbone - PowerPoint PPT Presentation

Proteiinianalyysi 5

Proteiinianalyysi 5

Proteiinianalyysi 5. Rakenteiden vertailu ja luokittelu http://www.bioinfo.biocenter.helsinki.fi/downloads/teaching/spring2006/proteiinianalyysi. Why compare 3D structures?. Structure is more conserved than sequence

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1.24k views • 111 slides
An Iterative Relaxation Technique for the NMR Backbone Assignment Problem

An Iterative Relaxation Technique for the NMR Backbone Assignment Problem

An Iterative Relaxation Technique for the NMR Backbone Assignment Problem. Wen-Lian Hsu Institute of Information Science Academia Sinica. Characteristics of Our Method. Model this as a constraint satisfaction problem Solve it using natural language parsing techniques

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719 views • 62 slides
An Iterative Relaxation Technique for the NMR Backbone Assignment Problem

An Iterative Relaxation Technique for the NMR Backbone Assignment Problem

An Iterative Relaxation Technique for the NMR Backbone Assignment Problem. Wen-Lian Hsu Institute of Information Science Academia Sinica. Characteristics of Our Method. Model this as a constraint satisfaction problem Solve it using natural language parsing techniques

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700 views • 62 slides
Arabinogalactan proteins

Arabinogalactan proteins

Arabinogalactan proteins. Pbio691 - Plant Cell Wall 11/05/2010 Laura Cristea. AGPs. Plant primary cell wall. Cellulose Hemicellulose Proteins. AGPs. Overview. HRGPs Lowest protein content among HRGPs (1-10%) Highest sugar content among HRGPs (90-99%)

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500 views • 41 slides
Arabinogalactan proteins

Arabinogalactan proteins

Arabinogalactan proteins. Pbio691 - Plant Cell Wall 11/05/2010 Laura Cristea. AGPs. Plant primary cell wall. Cellulose Hemicellulose Proteins. AGPs. Overview. HRGPs Lowest protein content among HRGPs (1-10%) Highest sugar content among HRGPs (90-99%)

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417 views • 41 slides
Protein Tertiary Structure

Protein Tertiary Structure

Protein Tertiary Structure. Protein Data Bank (PDB). Contains all known 3D structural data of large biological molecules, mostly proteins and nucleic acids: ~87,000 structures.

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839 views • 31 slides
ChainTree: A tale of two hierarchies

ChainTree: A tale of two hierarchies

ChainTree: A tale of two hierarchies. Transform hierarchy: approximates kinematics of protein backbone at successive resolutions Bounding volume hierarchy: approximates geometry of protein at successive resolutions. Hierarchy of transforms. T AI. T AE. T EI. T CE. T EG. T GI. T AC.

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143 views • 6 slides
ChainTree: A tale of two hierarchies

ChainTree: A tale of two hierarchies

ChainTree: A tale of two hierarchies. Transform hierarchy: approximates kinematics of protein backbone at successive resolutions Bounding volume hierarchy: approximates geometry of protein at successive resolutions. Hierarchy of transforms. T AI. T AE. T EI. T CE. T EG. T GI. T AC.

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137 views • 6 slides
Ozgur Ozturk, Ahmet Sacan, Hakan Ferhatosmanoglu, Yusu Wang The Ohio State University

Ozgur Ozturk, Ahmet Sacan, Hakan Ferhatosmanoglu, Yusu Wang The Ohio State University

(a). (b). Structural centers. Local sites. Filtered sites. Features for local sites. Family signature. Family-specific features. feature-sets for each protein. Collection of protein families. LFM-Pro: a tool for mining family-specific sites in protein structure databases.

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277 views • 1 slides

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