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Assessing the Stability of Biological Fibrils by Molecular-Scale Simulations

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.357

2022

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Molecular Insights into the Effect of Metals on Amyloid Aggregation

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.121

Miller, Yifat

2022

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Molecular Dynamics Simulations of Protein Aggregation: Protocols for Simulation Setup and Analysis with Markov State Models and Transition Networks

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.235

2022

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Exploration of Protein Aggregations in Parkinson's Disease Through Computational Approaches and Big Data Analytics

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.449

2022

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Aggregates Sealed by Ions

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.309

2022

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Challenges in Experimental Methods

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.281

2022

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Bioinformatics Methods in Predicting Amyloid Propensity of Peptides and Proteins

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.1

2022

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Modifying Amyloid Motif Aggregation Through Local Structure

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.343

2022

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From Quantum Mechanics, Classical Mechanics, and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.139

2022

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Predictive Modeling of Neurotoxic α-Synuclein Polymorphs

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.379

2022

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Probing Protein Aggregation Using the Coarse-Grained UNRES Force Field

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.79

2022

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Determination of the Most Stable Packing of Peptides from Ribosomal S1 Protein, Protein Bgl2p, and Aβ peptide in β-layers During Molecular Dynamics Simulations

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.221

2022

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Computational Models for the Study of Protein Aggregation

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.51

2022

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Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.401

2022

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Using Surface Hydrophobicity Together with Empirical Potentials to Identify Protein-Protein Binding Sites: Application to the Interactions of E-cadherins

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.41

2022

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Protocols for Rational Design of Protein Solubility and Aggregation Properties Using Aggrescan3D Standalone

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.17

2022

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All-Atom Molecular Dynamics Simulation Methods for the Aggregation of Protein and Peptides: Replica Exchange/Permutation and Nonequilibrium Simulations

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.197

2022

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Contact-Based Analysis of Aggregation of Intrinsically Disordered Proteins

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.105

2022

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Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.175

2022

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Final Remarks

Methods in molecular biology (Clifton, N.J.), 2022, Vol.2340, p.469

2022

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Rapid self-association of highly amyloidogenic H-fragments of insulin: Experiment and molecular dynamics simulations

International journal of biological macromolecules, 2020-05, Vol.150, p.894-903

2020

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Computer Simulations of Key Peptides Involved in Preeclampsia and Alzheimer's Disease

Biophysical journal, 2020-02, Vol.118 (3), p.485a-485a

2020

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On the Relationship between Aggregation Rate and Mechanical Stability in Protein Aggregation

Biophysical journal, 2019-02, Vol.116 (3), p.196a-196a

2019

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Effect of Resultant Dipole Moment on Mechanical Stability of Protein-Peptide Complexes

Biophysical journal, 2019-02, Vol.116 (3), p.459a-459a

2019

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Deciphering General Characteristics of Residues Constituting Allosteric Communication Paths

Bioinformatics and Biomedical Engineering, p.245-258

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Assessing the Stability of Biological Fibrils by Molecular-Scale Simulations

Molecular Insights into the Effect of Metals on Amyloid Aggregation

Molecular Dynamics Simulations of Protein Aggregation: Protocols for Simulation Setup and Analysis with Markov State Models and Transition Networks

Exploration of Protein Aggregations in Parkinson's Disease Through Computational Approaches and Big Data Analytics

Aggregates Sealed by Ions

Challenges in Experimental Methods

Bioinformatics Methods in Predicting Amyloid Propensity of Peptides and Proteins

Modifying Amyloid Motif Aggregation Through Local Structure

From Quantum Mechanics, Classical Mechanics, and Bioinformatics to Artificial Intelligence Studies in Neurodegenerative Diseases

Predictive Modeling of Neurotoxic α-Synuclein Polymorphs

Probing Protein Aggregation Using the Coarse-Grained UNRES Force Field

Determination of the Most Stable Packing of Peptides from Ribosomal S1 Protein, Protein Bgl2p, and Aβ peptide in β-layers During Molecular Dynamics Simulations

Computational Models for the Study of Protein Aggregation

Characterization of Amyloidogenic Peptide Aggregability in Helical Subspace

Using Surface Hydrophobicity Together with Empirical Potentials to Identify Protein-Protein Binding Sites: Application to the Interactions of E-cadherins

Protocols for Rational Design of Protein Solubility and Aggregation Properties Using Aggrescan3D Standalone

All-Atom Molecular Dynamics Simulation Methods for the Aggregation of Protein and Peptides: Replica Exchange/Permutation and Nonequilibrium Simulations

Contact-Based Analysis of Aggregation of Intrinsically Disordered Proteins

Computer Simulations Aimed at Exploring Protein Aggregation and Dissociation

Final Remarks

Rapid self-association of highly amyloidogenic H-fragments of insulin: Experiment and molecular dynamics simulations

Computer Simulations of Key Peptides Involved in Preeclampsia and Alzheimer's Disease

On the Relationship between Aggregation Rate and Mechanical Stability in Protein Aggregation

Effect of Resultant Dipole Moment on Mechanical Stability of Protein-Peptide Complexes

Deciphering General Characteristics of Residues Constituting Allosteric Communication Paths

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