Fast dynamics of HP35 for folded and urea-unfolded conditions.

J Phys Chem B

Department of Chemistry, Stanford University, Stanford, California 94305, USA.

Published: September 2012

The changes in fast dynamics of HP35 with a double CN vibrational dynamics label (HP35-P(2)) as a function of the extent of denaturation by urea were investigated with two-dimensional infrared (2D IR) vibrational echo spectroscopy. Cyanophenylalanine (PheCN) replaces the native phenylalanine at two residues in the hydrophobic core of HP35, providing vibrational probes. NMR data show that HP35-P(2) maintains the native folded structure similar to wild type and that both PheCN residues share essentially the same environment within the peptide. A series of time-dependent 2D IR vibrational echo spectra were obtained for the folded peptide and the increasingly unfolded peptide. Analysis of the time dependence of the 2D spectra yields the system's spectral diffusion, which is caused by the sampling of accessible structures of the peptide under thermal equilibrium conditions. The structural dynamics become faster as the degree of unfolding is increased.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3475495PMC
http://dx.doi.org/10.1021/jp304058xDOI Listing

Publication Analysis

Top Keywords

fast dynamics
8
dynamics hp35
8
vibrational echo
8
hp35 folded
4
folded urea-unfolded
4
urea-unfolded conditions
4
conditions changes
4
changes fast
4
hp35 double
4
vibrational
4

Similar Publications

Astrocytes critically shape whole-brain structure and function by forming extensive gap junctional networks that intimately and actively interact with neurons. Despite their importance, existing computational models of whole-brain activity ignore the roles of astrocytes while primarily focusing on neurons. Addressing this oversight, we introduce a biophysical neural mass network model, designed to capture the dynamic interplay between astrocytes and neurons via glutamatergic and GABAergic transmission pathways.

View Article and Find Full Text PDF

Biological memory networks are thought to store information by experience-dependent changes in the synaptic connectivity between assemblies of neurons. Recent models suggest that these assemblies contain both excitatory and inhibitory neurons (E/I assemblies), resulting in co-tuning and precise balance of excitation and inhibition. To understand computational consequences of E/I assemblies under biologically realistic constraints we built a spiking network model based on experimental data from telencephalic area Dp of adult zebrafish, a precisely balanced recurrent network homologous to piriform cortex.

View Article and Find Full Text PDF

Motivation: Predicting RNA-binding proteins (RBPs) is central to understanding post-transcriptional regulatory mechanisms. Here, we introduce EnrichRBP, an automated and interpretable computational platform specifically designed for the comprehensive analysis of RBP interactions with RNA.

Results: EnrichRBP is a web service that enables researchers to develop original deep learning and machine learning architectures to explore the complex dynamics of RNA-binding proteins.

View Article and Find Full Text PDF

Sequence-Dependent Slowdown of DNA Translocation Using Transmembrane RNA-DNA Interactions in MoS Nanopore.

J Phys Chem B

January 2025

Institute of Quantitative Biology, College of Life Sciences, and School of Physics, Zhejiang University, Hangzhou, Zhejiang 310058, China.

The emergence of nanopores in two-dimensional (2D) nanomaterials offers an attractive solid-state platform for high-throughput and low-cost DNA sequencing. However, several challenges remain to be addressed before their wide application, including the too-fast DNA translocation speed (compared to state-of-the-art single nucleoside detection techniques) and too large noise/signal ratios due to DNA fluctuations inside the nanopores. Here, we use molecular dynamics (MD) simulations to demonstrate the feasibility of utilizing RNA-DNA interactions in modulating DNA translocations in 2D MoS nanopores.

View Article and Find Full Text PDF

Staining brain slices with acetoxymethyl ester (AM) Ca dyes is a straightforward procedure to load multiple cells, and Fluo-4 is a commonly used high-affinity indicator due to its very large dynamic range. It has been shown that this dye preferentially stains glial cells, providing slow and large Ca transients, but it is questionable whether and at which temporal resolution it can also report Ca transients from neuronal cells. Here, by electrically stimulating mouse hippocampal slices, we resolved fast neuronal signals corresponding to 1%-3% maximal fluorescence changes.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!