TY - JOUR AB - The size dependence of the strength of nano- and micron-sized crystals is studied using a new simulation approach in which the dynamics of the density functions of dislocations are modeled. Since any quantity of dislocations can be represented by a density, this approach can handle large systems containing large quantities of dislocations, which may handicap discrete dislocation dynamics schemes due to the excessive computation time involved. For this reason, pillar sizes spanning a large range, from the sub-micron to micron regimes, can be simulated. The simulation results reveal the power-law relationship between strength and specimen size up to a certain size, beyond which the strength varies much more slowly with size. For specimens smaller than ~4000b, their strength is found to be controlled by the dislocation depletion condition, in which the total dislocation density remains almost constant throughout the loading process. In specimens larger than ~4000b, the initial dislocation distribution is of critical importance since the presence of dislocation entanglements is found to obstruct deformation in the neighboring regions within a distance of ~2000b. This length scale suggests that the effects of dense dislocation clusters are greater in intermediate-sized specimens (e.g. 4000b and 8000b) than in larger specimens (e.g. 16 000b), according to the weakest-link concept. AU - Leung, P S S AU - Leung, H S AU - Cheng, Bingqing AU - Ngan, A H W ID - 9684 IS - 3 JF - Modelling and Simulation in Materials Science and Engineering SN - 0965-0393 TI - Size dependence of yield strength simulated by a dislocation-density function dynamics approach VL - 23 ER - TY - JOUR AB - Deposits of misfolded proteins in the human brain are associated with the development of many neurodegenerative diseases. Recent studies show that these proteins have common traits even at the monomer level. Among them, a polyglutamine region that is present in huntingtin is known to exhibit a correlation between the length of the chain and the severity as well as the earliness of the onset of Huntington disease. Here, we apply bias exchange molecular dynamics to generate structures of polyglutamine expansions of several lengths and characterize the resulting independent conformations. We compare the properties of these conformations to those of the standard proteins, as well as to other homopolymeric tracts. We find that, similar to the previously studied polyvaline chains, the set of possible transient folds is much broader than the set of known-to-date folds, although the conformations have different structures. We show that the mechanical stability is not related to any simple geometrical characteristics of the structures. We demonstrate that long polyglutamine expansions result in higher mechanical stability than the shorter ones. They also have a longer life span and are substantially more prone to form knotted structures. The knotted region has an average length of 35 residues, similar to the typical threshold for most polyglutamine-related diseases. Similarly, changes in shape and mechanical stability appear once the total length of the peptide exceeds this threshold of 35 glutamine residues. We suggest that knotted conformers may also harm the cellular machinery and thus lead to disease. AU - Gómez Sicilia, Àngel AU - Sikora, Mateusz K AU - Cieplak, Marek AU - Carrión Vázquez, Mariano ID - 1566 IS - 10 JF - PLoS Computational Biology TI - An exploration of the universe of polyglutamine structures VL - 11 ER - TY - GEN AU - Tugrul, Murat AU - Paixao, Tiago AU - Barton, Nicholas H AU - Tkačik, Gašper ID - 9712 TI - Other fitness models for comparison & for interacting TFBSs ER - TY - GEN AU - Gómez Sicilia, Àngel AU - Sikora, Mateusz K AU - Cieplak, Marek AU - Carrión Vázquez, Mariano ID - 9714 TI - An exploration of the universe of polyglutamine structures - submission to PLOS journals ER - TY - GEN AU - Trubenova, Barbora AU - Novak, Sebastian AU - Hager, Reinmar ID - 9715 TI - Mathematical inference of the results ER -