Revealing Unknown Protein Structures Using Computational Conformational Sampling Guided by Experimental Hydrogen-Exchange Data

International Journal of Molecular Sciences - Switzerland
doi 10.3390/ijms19113406
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Protein Structure Predictions by Enhanced Conformational Sampling Methods

Biophysics and Physicobiology
2019English

Conformational Changes in the G Protein-Coupled Receptor Rhodopsin Revealed by Histidine Hydrogen−Deuterium Exchange

Biochemistry
Biochemistry
2010English

Protein Dynamics Viewed by Hydrogen Exchange

Protein Science
BiochemistryMedicineMolecular Biology
2012English

Syncatalytic Conformational Changes in Aspartate Aminotransferase Determined by Hydrogen-Deuterium Exchange.

Proceedings of the National Academy of Sciences of the United States of America
Multidisciplinary
1978English

Continued Sampling: Using Data Aware Feedback and Control for Peptide Conformational Search

Biophysical Journal
Biophysics
2013English

Computational Prediction of Conformational B-Cell Epitopes From Antigen Primary Structures by Ensemble Learning

PLoS ONE
Multidisciplinary
2012English

Enhancing Materials Property Prediction by Leveraging Computational and Experimental Data Using Deep Transfer Learning

Nature Communications
AstronomyGeneticsMolecular BiologyBiochemistryChemistryPhysics
2019English

Modification of Exchange Coupling in Fe/Nb/Fe/Pd Layered Structures Using Hydrogen

Acta Physica Polonica A
AstronomyPhysics
2018English

Sampling by Exploration and Replication for Estimating Experimental Strength of Composite Structures

AIAA Journal
Aerospace Engineering
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy