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Exclusively Heteronuclear 13C‐Detected Amino‐Acid‐Selective NMR Experiments for the Study of Intrinsically Disordered Proteins (IDPs)

ChemBioChem, 2012
AbstractCarbon‐13 direct‐detection NMR methods have proved to be very useful for the characterization of intrinsically disordered proteins (IDPs). Here we present a suite of experiments in which amino‐acid‐selective editing blocks are encoded in CACON‐ and CANCO‐type sequences to give 13C‐detected spectra containing correlations arising from a ...
W. Bermel   +6 more
openaire   +3 more sources

The gene expression profiling of hepatocellular carcinoma by a network analysis approach shows a dominance of intrinsically disordered proteins (IDPs) between hub nodes

Molecular BioSystems, 2015
Abstract We have analyzed the transcriptomic data from patients with hepatocellular carcinoma (HCC) after viral HCV infection at the various stages of the disease by means of a networking analysis using the publicly available E-MTAB-950 dataset.
Singh S   +6 more
openaire   +2 more sources

Longitudinal relaxation properties of 1HN and 1Hα determined by direct-detected 13C NMR experiments to study intrinsically disordered proteins (IDPs)

Journal of Magnetic Resonance, 2015
Intrinsically disordered proteins (IDPs) are functional proteins containing large fragments characterized by high local mobility. Bioinformatic studies have suggested that a significant fraction (more than 30%) of eukaryotic proteins has disordered regions of more than 50 amino acids in length.
HOSEK, TOMAS   +4 more
openaire   +3 more sources

IDP-T5CKNN: Protein Language Models for Prediction of Intrinsically Disordered Proteins

Current Computer Science
Introduction: Disordered proteins (IDPs) and disordered protein regions (IDRs) have important roles in cellular signalling and regulation and in disease development. However, their flexible conformations create challenges in annotating them through computational methods.
openaire   +1 more source

Combined prediction and design reveals the target recognition mechanism of an intrinsically disordered protein interaction domain

Proceedings of the National Academy of Sciences of the United States of America, 2023
Quan Chen, Wenning Wang, Xiuhong Hu
exaly  

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