Strong underwater adhesives made by self-assembling multi-protein nanofibres
Many natural underwater adhesives harness hierarchically assembled amyloid
nanostructures to achieve strong and robust interfacial adhesion under dynamic and turbulent …
nanostructures to achieve strong and robust interfacial adhesion under dynamic and turbulent …
Constructing ensembles for intrinsically disordered proteins
CK Fisher, CM Stultz - Current opinion in structural biology, 2011 - Elsevier
The relatively flat energy landscapes associated with intrinsically disordered proteins makes
modeling these systems especially problematic. A comprehensive model for these proteins …
modeling these systems especially problematic. A comprehensive model for these proteins …
[PDF][PDF] Molecular basis for specific regulation of neuronal kinesin-3 motors by doublecortin family proteins
…, X Fu, FJ Fourniol, JK Jaiswal, A Houdusse, CM Stultz… - Molecular cell, 2012 - cell.com
Doublecortin (Dcx) defines a growing family of microtubule (MT)-associated proteins (MAPs)
involved in neuronal migration and process outgrowth. We show that Dcx is essential for the …
involved in neuronal migration and process outgrowth. We show that Dcx is essential for the …
Perturbing the folding energy landscape of the bacterial immunity protein Im7 by site-specific N-linked glycosylation
…, CPR Hackenberger, CM Stultz… - Proceedings of the …, 2010 - National Acad Sciences
N-linked glycosylation modulates protein folding and stability through a variety of mechanisms.
As such there is considerable interest in the development of general rules to predict the …
As such there is considerable interest in the development of general rules to predict the …
Modeling intrinsically disordered proteins with bayesian statistics
CK Fisher, A Huang, CM Stultz - Journal of the American Chemical …, 2010 - ACS Publications
The characterization of intrinsically disordered proteins is challenging because accurate
models of these systems require a description of both their thermally accessible conformers and …
models of these systems require a description of both their thermally accessible conformers and …
Explaining the structural plasticity of α-synuclein
Given that α-synuclein has been implicated in the pathogenesis of several neurodegenerative
disorders, deciphering the structure of this protein is of particular importance. While …
disorders, deciphering the structure of this protein is of particular importance. While …
The dynamic structure of α-synuclein multimers
…, I Perovic, T Pochapsky, CM Stultz - Journal of the …, 2013 - ACS Publications
α-Synuclein, a protein that forms ordered aggregates in the brains of patients with Parkinson’s
disease, is intrinsically disordered in the monomeric state. Several studies, however, …
disease, is intrinsically disordered in the monomeric state. Several studies, however, …
Structural analysis based on state‐space modeling
CM Stultz, JV White, TF Smith - Protein Science, 1993 - Wiley Online Library
A new method has been developed to compute the probability that each amino acid in a
protein sequence is in a particular secondary structural element. Each of these probabilities is …
protein sequence is in a particular secondary structural element. Each of these probabilities is …
Mechanism of amyloid-β fibril elongation
T Gurry, CM Stultz - Biochemistry, 2014 - ACS Publications
Amyloid-β is an intrinsically disordered protein that forms fibrils in the brains of patients with
Alzheimer’s disease. To explore factors that affect the process of fibril growth, we computed …
Alzheimer’s disease. To explore factors that affect the process of fibril growth, we computed …
[HTML][HTML] Machine learning improves risk stratification after acute coronary syndrome
PD Myers, BM Scirica, CM Stultz - Scientific reports, 2017 - nature.com
The accurate assessment of a patient’s risk of adverse events remains a mainstay of clinical
care. Commonly used risk metrics have been based on logistic regression models that …
care. Commonly used risk metrics have been based on logistic regression models that …