ArticlePLoS computational biology2016
As Simple As Possible, but Not Simpler: Exploring the Fidelity of Coarse-Grained Protein Models for Simulated Force Spectroscopy.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 34 citations in OpenAlex.
- Exploring the unfolding pathways of protein families using Elastic Network Model.Scientific reports · 2024Article
- First Principles Calculation of Protein-Protein Dimer Affinities of ALS-Associated SOD1 Mutants.Frontiers in molecular biosciences · 2022Article
- Nanomechanics combined with HDX reveals allosteric drug binding sites of CFTR NBD1.Computational and structural biotechnology journal · 2022Article
- Resolving the fine structure in the energy landscapes of repeat proteins.QRB discovery · 2022Article
- Binding Dynamics of Disordered Linker Histone H1 with a Nucleosomal Particle.Journal of molecular biology · 2021Article
- Investigating the Conformational Ensembles of Intrinsically Disordered Proteins with a Simple Physics-Based Model.The journal of physical chemistry. B · 2020Article
- Soft Vibrational Modes Predict Breaking Events during Force-Induced Protein Unfolding.Biophysical journal · 2018Article
- Partially native intermediates mediate misfolding of SOD1 in single-molecule folding trajectories.Nature communications · 2017Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanical unfolding of a single domain of loop-truncated superoxide dismutase protein has been simulated via force spectroscopy techniques with both all-atom (AA) models and several coarse-grained models having different levels of resolution: A Gō model containing all heavy atoms in the protein (HA-Gō), the associative memory, water mediated, structure and energy model (AWSEM) which has 3 interaction sites per amino acid, and a Gō model containing only one interaction site per amino acid at the Cα position (Cα-Gō). To systematically compare results across models, the scales of time, energy, and force had to be suitably renormalized in each model. Surprisingly, the HA-Gō model gives the softest protein, exhibiting much smaller force peaks than all other models after the above renormalization. Clustering to render a structural taxonomy as the protein unfolds showed that the AA, HA-Gō, and Cα-Gō models exhibit a single pathway for early unfolding, which eventually bifurcates repeatedly to multiple branches only after the protein is about half-unfolded. The AWSEM model shows a single dominant unfolding pathway over the whole range of unfolding, in contrast to all other models. TM alignment, clustering analysis, and native contact maps show that the AWSEM pathway has however the most structural similarity to the AA model at high nativeness, but the least structural similarity to the AA model at low nativeness. In comparison to the AA model, the sequence of native contact breakage is best predicted by the HA-Gō model. All models consistently predict a similar unfolding mechanism for early force-induced unfolding events, but diverge in their predictions for late stage unfolding events when the protein is more significantly disordered.
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