
John E. Straub
· ProfessorBoston University · Chemistry
Active 1928–2026
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About
Professor John E. Straub is a faculty member at Boston University, where he leads the Straub Lab. His research group focuses on the biophysical and computational study of amyloid proteins and their aggregation processes. The lab investigates the structure, stability, and formation mechanisms of amyloid fibrils, including those formed by Serum Amyloid A protein and amyloid-beta peptides. Research in the group also explores the role of hydration, polyanions, and membrane interactions in amyloid formation and protein-protein association. The lab employs a range of modeling approaches, from all-atom simulations to coarse-grained and lattice models, to understand the thermodynamics and kinetics underlying protein aggregation and phase separation in lipid mixtures. Professor Straub's group also develops algorithms to elucidate optimal transition pathways and studies the effects of membrane friction on molecular isomerization, contributing to the understanding of tension-based probes in biophysical systems.
Research topics
- Computer Science
- Chemistry
- Artificial Intelligence
- Neuroscience
- Computational chemistry
- Molecular physics
- Chemical physics
- Organic chemistry
- Pathology
- Biology
Selected publications
Chemical Reviews · 2021 · 653 citations
, and pharmacological experiments tell us about the accumulation and deposition of the oligomers of the (Aβ, tau), α-synuclein, IAPP, and superoxide dismutase 1 proteins, which have been the mainstream concept underlying Alzheimer's disease (AD), Parkinson's disease (PD), type II diabetes (T2D), and amyotrophic lateral sclerosis (ALS) research, respectively, for many years.
Vibrational Spectroscopic Map, Vibrational Spectroscopy, and Intermolecular Interaction
Chemical Reviews · 2020 · 396 citations
Vibrational spectroscopy is an essential tool in chemical analyses, biological assays, and studies of functional materials. Over the past decade, various coherent nonlinear vibrational spectroscopic techniques have been developed and enabled researchers to study time-correlations of the fluctuating frequencies that are directly related to solute-solvent dynamics, dynamical changes in molecular conformations and local electrostatic environments, chemical and biochemical reactions, protein structu…
Proceedings of the National Academy of Sciences · 2020 · 72 citations
The early events in the aggregation of the intrinsically disordered peptide, amyloid-β (Aβ), involve transitions from the disordered free energy ground state to assembly-competent states. Are the fingerprints of order found in the amyloid fibrils encoded in the conformations that the monomers access at equilibrium? If so, could the enhanced aggregation rate of Aβ42 compared to Aβ40 be rationalized from the sparsely populated high free energy states of the monomers? Here, we answer these question…
Cholesterol and Lipid Rafts in the Biogenesis of Amyloid-β Protein and Alzheimer's Disease
Annual Review of Biophysics · 2024-02-21 · 28 citations
reviewOpen accessSenior authorCholesterol has been conjectured to be a modulator of the amyloid cascade, the mechanism that produces the amyloid-β (Aβ) peptides implicated in the onset of Alzheimer's disease. We propose that cholesterol impacts the genesis of Aβ not through direct interaction with proteins in the bilayer, but indirectly by inducing the liquid-ordered phase and accompanying liquid-liquid phase separations, which partition proteins in the amyloid cascade to different lipid domains and ultimately to different e…
Machine Learning Derived Collective Variables for the Study of Protein Homodimerization in Membrane
Journal of Chemical Theory and Computation · 2024-06-25 · 15 citations
articleOpen accessSenior authorCorrespondingThe accurate calculation of equilibrium constants for protein-protein association is of fundamental importance to quantitative biology and remains an outstanding challenge for computational biophysics. Traditionally, equilibrium constants have been computed from one-dimensional free energy surfaces derived from sampling along a single collective variable. Importantly, recent advances in enhanced sampling methodology have facilitated the characterization of multidimensional free energy landscapes…
Recent grants
Algorithms for the simulation of strong phase changes in complex molecular systems
NSF · $500k · 2011–2015
Algorithms for enhanced sampling and global optimization
NSF · $372k · 1999–2003
NIH · $1.1M · 2005
Frequent coauthors
- 90 shared
D. Thirumalai
- 34 shared
Hiroshi Fujisaki
Nippon Medical School
- 32 shared
George A. Pantelopulos
National Institutes of Health
- 28 shared
Diane E. Sagnella
- 25 shared
Timothy A. Jackson
University of Kansas
- 25 shared
Manho Lim
Pusan National University
- 25 shared
Philip Anfinrud
National Institute of Diabetes and Digestive and Kidney Diseases
- 22 shared
Bogdan Tarus
Université Paris-Saclay
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