Monte Carlo Simulation Method for Protein Native Structure Prediction

Name: Monte Carlo Simulation Method for Protein Native Structure Prediction
Brand: LAP Lambert Academic Publishing
SKU: 9783330030367
Price: 1376 CZK
Availability: InStock

Autor: Samson Aisida

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 376 Kč

Proteins are polymers of Amino Acid which are constructed after translation of genetic code in DNA o...

Informace o knize

Autor

Samson Aisida

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2017

Stránek

232

EAN

9783330030367

Enbook ID

15979962

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

364

Rozměry

150 x 220 x 14

Kompletní popis

Proteins are polymers of Amino Acid which are constructed after translation of genetic code in DNA of organisms and have functionality that depends on their Native Structure. Experimental methods for protein native structure determination are complicated, expensive and time-consuming. Consequently, Computational Methods (CM), including Monte Carlo (MC), aim to circumvent these challenges. However, the MC is complex and inconsistent in native structure Prediction. This study was designed to develop a Move-Biased MC simulation algorithm that may simplify the complexity of existing MC and makes it consistent for native structure prediction. Protein was described as a coarse-grained structure and folding as Self-Avoiding Walks (SAW) on square lattices. Relative Probability Parameters were introduced to determine natural probabilities of protein conformations from SAW and to simulate the desired sequence length from an optimal combination. Thereafter, a graphical algorithm was developed to group the SAW steps into hydrophobic and polar AA units according to the Hydrophobic-Polar (HP) model.

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Monte Carlo Simulation Method for Protein Native Structure Prediction

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