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Secondary Structure Prediction
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Summary
Secondary Structure Prediction
involves forecasting the
Local spatial arrangement
of a
Protein's backbone
without considering its side chains, typically identifying
Alpha helices
,
Beta sheets
, and
Random coils
. It is crucial for
Understanding protein function
and guiding
Experimental structure determination methods
like
X-ray Crystallography
and
NMR Spectroscopy
.
Concepts
Alpha Helix
Beta Sheet
Random Coil
Protein Folding
Chou-Fasman Method
GOR Method
Neural Networks
Machine Learning
Bioinformatics
Homology Modeling
X-ray Crystallography
NMR Spectroscopy
Protein Data Bank
Secondary Structure
RNA Secondary Structure
Nucleic Acid Secondary Structure
Protein Secondary Structure
Relevant Degrees
Computational Mathematics 67%
Programming and Computer Programs 33%
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