[NMR paper] Solution Structure Ensembles of the Open and Closed Forms of the ~130 kDa Enzyme I via AlphaFold Modeling, Coarse Grained Simulations, and NMR
Solution Structure Ensembles of the Open and Closed Forms of the ~130 kDa Enzyme I via AlphaFold Modeling, Coarse Grained Simulations, and NMR
Large-scale interdomain rearrangements are essential to protein function, governing the activity of large enzymes and molecular machineries. Yet, obtaining an atomic-resolution understanding of how the relative domain positioning is affected by external stimuli is a hard task in modern structural biology. Here, we show that combining structural modeling by AlphaFold2 with coarse-grained molecular dynamics simulations and NMR residual dipolar...
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06-06-2023 09:06 PM
[NMR paper] A coarse-grained approach to NMR-data-assisted modeling of protein structures
A coarse-grained approach to NMR-data-assisted modeling of protein structures
The ESCASA algorithm for analytical estimation of proton positions from coarse-grained geometry developed in our recent work has been implemented in modeling protein structures with the highly coarse-grained UNRES model of polypeptide chains (two sites per residue) and nuclear magnetic resonance (NMR) data. A penalty function with the shape of intersecting gorges was applied to treat ambiguous distance restraints, which automatically selects consistent restraints. Hamiltonian replica exchange...
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09-23-2022 06:24 AM
[NMR paper] Nanobody Paratope Ensembles in Solution Characterized by MD Simulations and NMR
Nanobody Paratope Ensembles in Solution Characterized by MD Simulations and NMR
Variable domains of camelid antibodies (so-called nanobodies or V(H)H) are the smallest antibody fragments that retain complete functionality and therapeutic potential. Understanding of the nanobody-binding interface has become a pre-requisite for rational antibody design and engineering. The nanobody-binding interface consists of up to three hypervariable loops, known as the CDR loops. Here, we structurally and dynamically characterize the conformational diversity of an anti-GFP-binding...
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05-29-2022 03:31 AM
[NMR paper] Probabilistic Modeling of RNA Ensembles Using NMR Chemical Shifts
Probabilistic Modeling of RNA Ensembles Using NMR Chemical Shifts
NMR-derived chemical shifts are structural fingerprints that are sensitive to the underlying conformational distributions of molecules. Thus, chemical shift data are now routinely used to infer the dynamical or conformational ensembles of peptides and proteins. However, for RNAs, techniques for inferring their conformational ensembles from chemical shift data have received less attention. Here, we used chemical shift data and the Bayesian/maximum entropy (BME) approach to model the secondary...
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08-28-2021 07:56 AM
Closed model: NMR and X-rays open up enzyme clue
Closed model: NMR and X-rays open up enzyme clue
http://www.spectroscopynow.com/common/images/thumbnails/15baf3f399f.jpgA structural model of the closed state of the "energy budget" enzyme adenylate kinase emerges from a nuclear magnetic resonance (NMR) spectroscopy and X-ray crystallography study by European scientists.
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07-03-2017 02:31 AM
[NMR paper] Dynamic equilibrium between closed and partially closed states of the bacterial Enzyme I unveiled by solution NMR and X-ray scattering.
Dynamic equilibrium between closed and partially closed states of the bacterial Enzyme I unveiled by solution NMR and X-ray scattering.
Dynamic equilibrium between closed and partially closed states of the bacterial Enzyme I unveiled by solution NMR and X-ray scattering.
Proc Natl Acad Sci U S A. 2015 Aug 24;
Authors: Venditti V, Schwieters CD, Grishaev A, Clore GM
Abstract
Enzyme I (EI) is the first component in the bacterial phosphotransferase system, a signal transduction pathway in which phosphoryl transfer through a series...
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08-26-2015 10:21 AM
Combining NMR ensembles and molecular dynamics simulations provides more realistic models of protein structures in solution and leads to better chemical shift prediction
Combining NMR ensembles and molecular dynamics simulations provides more realistic models of protein structures in solution and leads to better chemical shift prediction
Abstract While chemical shifts are invaluable for obtaining structural information from proteins, they also offer one of the rare ways to obtain information about protein dynamics. A necessary tool in transforming chemical shifts into structural and dynamic information is chemical shift prediction. In our previous work we developed a method for 4D prediction of protein 1H chemical shifts in which molecular motions, the...
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02-11-2012 10:31 AM
[NMR paper] Folding Trp-cage to NMR resolution native structure using a coarse-grained protein mo
Folding Trp-cage to NMR resolution native structure using a coarse-grained protein model.
Related Articles Folding Trp-cage to NMR resolution native structure using a coarse-grained protein model.
Biophys J. 2005 Jan;88(1):147-55
Authors: Ding F, Buldyrev SV, Dokholyan NV
We develop a coarse-grained protein model with a simplified amino acid interaction potential. Using this model, we perform discrete molecular dynamics folding simulations of a small 20-residue protein--Trp-cage--from a fully extended conformation. We demonstrate the ability...