Könyv Visual Analytics for Protein Folding Kush Kapila

Visual Analytics for Protein Folding

PROTERAN: Analyzing Protein Folds Using Animated Terrains

Szerző: Kush Kapila
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: VDM Verlag
Elérhetőség: Beszállítói készleten
Küldés 9-15 napon belül
19 117 Ft
In the field of bio-informatics, the analysis of§voluminous data is becoming increasingly crucial to...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2008
oldal
76
EAN
9783639100402
ISBN
3639100409
Enbook ID
06819047
Kiadó
Súly
113
Méretek
152 x 229 x 4

Teljes leírás

In the field of bio-informatics, the analysis of§voluminous data is becoming increasingly crucial to§understanding the underlying biology and answering§important questions. Clustering techniques often in§combination with visualization techniques are§extensively used, say, to find the functions of§unknown genes through pattern detection and analysis.§ Similar to clustering of gene expression data is§that of clustering the characteristics of protein§folding dynamics. The mechanism of protein folding§remains largely a mystery. Currently, protein§folding dynamics is often characterized by§calculating the free energy landscape versus various§reaction coordinates such as the fraction of native§contacts, the radius of gyration and so on. We§present the development of a visual analytics tool,§PROTERAN, which enables one to view the changing§landscape of major protein fold states through the§metaphor of animated terrains. PROTERAN promotes the§use of an integrated approach towards understanding§the folding process via interactive visual analysis§of patterns of these reaction coordinates. In the field of bio-informatics, the analysis of§voluminous data is becoming increasingly crucial to§understanding the underlying biology and answering§important questions. Clustering techniques often in§combination with visualization techniques are§extensively used, say, to find the functions of§unknown genes through pattern detection and analysis.§Similar to clustering of gene expression data is§that of clustering the characteristics of protein§folding dynamics. The mechanism of protein folding§remains largely a mystery. Currently, protein§folding dynamics is often characterized by§calculating the free energy landscape versus various§reaction coordinates such as the fraction of native§contacts, the radius of gyration and so on. We§present the development of a visual analytics tool,§PROTERAN, which enables one to view the changing§landscape of major protein fold states through the§metaphor of animated terrains. PROTERAN promotes the§use of an integrated approach towards understanding§the folding process via interactive visual analysis§of patterns of these reaction coordinates.

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