Learn More
A computational approach has been developed to assess the power of paramagnetism-based backbone constraints with respect to the determination of the tertiary structure, once the secondary structure elements are known. This is part of the general assessment of paramagnetism-based constraints which are known to be relevant when used in conjunction with all(More)
Intrinsically disordered proteins (IDPs) are involved in a wide variety of physiological and pathological processes and are best described by ensembles of rapidly interconverting conformers. Using fast field cycling relaxation measurements we here show that the IDP α-synuclein as well as a variety of other IDPs undergoes slow reorientations at time scales(More)
  • Adam T. Preslar, Giacomo Parigi, Mark T. McClendon, Samantha S. Sefick, Tyson J. Moyer, Chad R. Haney +5 others
  • 2014
Bioactive supramolecular nanostructures are of great importance in regenerative medicine and the development of novel targeted therapies. In order to use supramolecular chemistry to design such nanostructures, it is extremely important to track their fate in vivo through the use of molecular imaging strategies. Peptide amphiphiles (PAs) are known to(More)
Among the many possible approaches for the parallelization of self-organizing networks, and in particular of growing self-organizing networks, perhaps the most common one is producing an optimized, parallel implementation of the standard sequential algorithms reported in the literature. In this paper we explore an alternative approach, based on a new(More)
  • Adam T. Preslar, Giacomo Parigi, Mark T. McClendon, Samantha S. Sefick, Tyson J. Moyer, Chad R. Haney +5 others
  • 2015
Page 7328. In Figure 2B, the leftmost panel is a cryogenic TEM image of PA2 rather than PA1. We include here a corrected panel for PA1. No conclusions or analysis in the work are affected by this correction. Figure 2B. Image of PA1 nanofibers after thermal annealing. Scale bar is 200 nm. This is an open access article published under an ACS AuthorChoice(More)
—Neural gas (NG) is a robust vector quantization algorithm with a well-known mathematical model. According to this, the neural gas samples the underlying data distribution following a power law with a magnification exponent that depends on data dimensionality only. The effects of shape in the input data distribution, however, are not entirely covered by the(More)
Many multidomain proteins and ribonucleic acids consist of domains that autonomously fold and that are linked together by flexible junctions. This architectural design allows domains to sample a wide range of positions with respect to one another, yet do so in a way that retains structural specificity, since the number of sampled conformations remains(More)
NMR experiments on proteins in simultaneous equilibria with multiple binding partners can provide a tool to understand complex biological interaction networks. Competition among proteins for binding to signaling hubs is often at the basis of the information transmission across signaling networks in every organism. Changes in affinity towards one or more(More)
In their recent article (2010), Levy and Liu introduced a generalization of Centroidal Voronoi Tessellation (CVT)-namely the L p-CVT-that allows the computation of an anisotropic CVT over a sound mathematical framework. In this article a new objective function is defined, and both this function and its gradient are derived in closed-form for surfaces and(More)
The program REFMAC5 from CCP4 was modified to allow the simultaneous use of X-ray crystallographic data and paramagnetic NMR data (pseudocontact shifts and self-orientation residual dipolar couplings) and/or diamagnetic residual dipolar couplings. Incorporation of these long-range NMR restraints in REFMAC5 can reveal differences between solid-state and(More)