Structure-based approach to the prediction of disulfide bonds in proteins.
about
MAESTRO--multi agent stability prediction upon point mutations.Additional disulfide bonds in insulin: Prediction, recombinant expression, receptor binding affinity, and stability.Crystal Structure of Antagonist Bound Human Lysophosphatidic Acid Receptor 1Cross-protection of influenza A virus infection by a DNA aptamer targeting the PA endonuclease domain.Ehlers-Danlos Syndrome Caused by Biallelic TNXB Variants in Patients with Congenital Adrenal Hyperplasia.Discovery of Klotho peptide antagonists against Wnt3 and Wnt3a target proteins using combination of protein engineering, protein-protein docking, peptide docking and molecular dynamics simulations.Computational site-directed mutagenesis studies of the role of the hydrophobic triad on substrate binding in cholesterol oxidase.
P2860
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P2860
Structure-based approach to the prediction of disulfide bonds in proteins.
description
2014 nî lūn-bûn
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2014年の論文
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2014年学术文章
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2014年学术文章
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name
Structure-based approach to the prediction of disulfide bonds in proteins.
@en
Structure-based approach to the prediction of disulfide bonds in proteins.
@nl
type
label
Structure-based approach to the prediction of disulfide bonds in proteins.
@en
Structure-based approach to the prediction of disulfide bonds in proteins.
@nl
prefLabel
Structure-based approach to the prediction of disulfide bonds in proteins.
@en
Structure-based approach to the prediction of disulfide bonds in proteins.
@nl
P2093
P2860
P356
P1476
Structure-based approach to the prediction of disulfide bonds in proteins.
@en
P2093
Matvey Adzhigirey
Noeris K Salam
Woody Sherman
P2860
P304
P356
10.1093/PROTEIN/GZU017
P50
P577
2014-05-08T00:00:00Z