ArticlePLoS computational biology2015
Structural Refinement of Proteins by Restrained Molecular Dynamics Simulations with Non-interacting Molecular Fragments.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Advances in EPR Approaches for Studying Structural Properties of Membrane Proteins.Magnetic resonance in chemistry : MRC · 2026Review
- Hidden protein disorder: Deciphering the structural organisation and dynamics of a non-canonical CP12 from the diatom Thalassiosira pseudonana.The FEBS journal · 2025Article
- Protein Modeling with DEER Spectroscopy.Annual review of biophysics · 2025Review
- CHARMM at 45: Enhancements in Accessibility, Functionality, and Speed.The journal of physical chemistry. B · 2024Review
- A novel approach to modeling side chain ensembles of the bifunctional spin label RX.bioRxiv : the preprint server for biology · 2023Article
- Biophysical and Integrative Characterization of Protein Intrinsic Disorder as a Prime Target for Drug Discovery.Biomolecules · 2023Review
- Mechanism of voltage gating in the voltage-sensing phosphatase Ci-VSP.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Assembly and Analysis of Cell-Scale Membrane Envelopes.Journal of chemical information and modeling · 2022Article
- Scalable molecular dynamics on CPU and GPU architectures with NAMD.The Journal of chemical physics · 2020Article
- Electron Paramagnetic Resonance as a Tool for Studying Membrane Proteins.Biomolecules · 2020Review
- A Hybrid Hamiltonian for the Accelerated Sampling along Experimental Restraints.International journal of molecular sciences · 2019Article
- Molecular determination of claudin-15 organization and channel selectivity.The Journal of general physiology · 2018Article
- CryoEM-based hybrid modeling approaches for structure determination.Current opinion in microbiology · 2018Review
- CHARMM-GUI 10 years for biomolecular modeling and simulation.Journal of computational chemistry · 2017Review
- Metal binding mediated conformational change of XPA protein:a potential cytotoxic mechanism of nickel in the nucleotide excision repair.Journal of molecular modeling · 2016Article
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Authors and funding
6 authors.
Funding
Abstract
The knowledge of multiple conformational states is a prerequisite to understand the function of membrane transport proteins. Unfortunately, the determination of detailed atomic structures for all these functionally important conformational states with conventional high-resolution approaches is often difficult and unsuccessful. In some cases, biophysical and biochemical approaches can provide important complementary structural information that can be exploited with the help of advanced computational methods to derive structural models of specific conformational states. In particular, functional and spectroscopic measurements in combination with site-directed mutations constitute one important source of information to obtain these mixed-resolution structural models. A very common problem with this strategy, however, is the difficulty to simultaneously integrate all the information from multiple independent experiments involving different mutations or chemical labels to derive a unique structural model consistent with the data. To resolve this issue, a novel restrained molecular dynamics structural refinement method is developed to simultaneously incorporate multiple experimentally determined constraints (e.g., engineered metal bridges or spin-labels), each treated as an individual molecular fragment with all atomic details. The internal structure of each of the molecular fragments is treated realistically, while there is no interaction between different molecular fragments to avoid unphysical steric clashes. The information from all the molecular fragments is exploited simultaneously to constrain the backbone to refine a three-dimensional model of the conformational state of the protein. The method is illustrated by refining the structure of the voltage-sensing domain (VSD) of the Kv1.2 potassium channel in the resting state and by exploring the distance histograms between spin-labels attached to T4 lysozyme. The resulting VSD structures are in good agreement with the consensus model of the resting state VSD and the spin-spin distance histograms from ESR/DEER experiments on T4 lysozyme are accurately reproduced.
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