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Michas, A.

Publications and source records attributed to Michas, A..

3 recordsLinked to original sources

Extremely charged coral protein AGARP regulates calcium carbonate growth through liquid phase separation

Biomineralization via the non-classical crystallization pathway is postulated to involve a transient liquid phase of calcium carbonate formed in the presence of polymers. In the context of coral biocalcification, these polymers may include coral acid-rich proteins (CARPs) secreted into the skeletal organic matrix. However, direct evidence for the existence of this liquid phase containing proteins is lacking. Here, we show that the intrinsically disordered aspartic and glutamic acid-rich protein (AGARP), the first CARP cloned from the Great Barrier Reef scleractinian coral Acropora millepora, can significantly influence early stages of CaCO3 nucleation and crystal growth through liquid-liquid phase separation. We introduce the concept of a biologically relevant crystallization precursor: a liquid protein-calcium condensate composed of CARP molecules and Ca2+ ions, which forms as a result of liquid-liquid phase separation in a crowded environment. Our work bridges the gap between the liquid phase separation and biomineralization research.

biophysics↗

Hydrodynamic Radii of Intrinsically Disordered Proteins: Fast Prediction by Minimum Dissipation Approximation and Experimental Validation

The diffusion coefficients of globular and fully unfolded proteins can be predicted with high accuracy solely from their mass or chain length. However, this approach fails for intrinsically disordered proteins (IDPs) containing structural domains. We propose a rapid predictive methodology for estimating the diffusion coefficients of IDPs. The methodology uses accelerated conformational sampling based on self-avoiding random walks and includes hydrodynamic interactions between coarse-grained protein subunits, modeled using the generalized Rotne-Prager-Yamakawa approximation. To estimate the hydrodynamic radius, we rely on the minimum dissipation approximation recently introduced by Cichocki et al. Using a large set of experimentally measured hydrodynamic radii of IDPs over a wide range of chain lengths and domain contributions, we demonstrate that our predictions are more accurate than the Kirkwood approximation and phenomenological approaches. Our technique may prove valuable in predicting the hydrodynamic properties of both fully unstructured and multidomain disordered proteins. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/578612v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1e2943aorg.highwire.dtl.DTLVardef@7193c8org.highwire.dtl.DTLVardef@9d5bceorg.highwire.dtl.DTLVardef@f64f72_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

Diversity of hydrodynamic radii of intrinsically disordered proteins

Intrinsically disordered proteins (IDPs) form an important class of biomolecules regulating biological processes in higher organisms. The lack of a fixed spatial structure facilitates them to perform their regulatory functions. Due to the possibility of large conformational changes of IDPs, the cellular milieu can also control productivity of biochemical reactions. From the biophysical point of view, IDPs are biopolymers with a broad configuration state space. The conformation of such a biopolymer depends on non-covalent interactions of its amino acid side chain groups at given temperature and chemical conditions. Thus, the hydrodynamic radius (Rh) of an IDP of a given polymer length (N) is a sequence- and environment-dependent variable. We have reviewed the literature values of hydrodynamic radii of IDPs determined experimentally by SEC, AUC, PFG NMR, DLS, and FCS, and complement them with our FCS results obtained for a series of protein fragments involved in regulation of human gene expression. The data collected herein show that the values of hydrodynamic radii of intrinsically disordered proteins can span the full space between the folded globular and denatured proteins in the Rh(N) diagram.

biophysics↗