1,720,998 research outputs found
Files for YTH MD associated with manuscript "Pliability in the m6A-binding region extends druggability of YTH domains"
No full textFiles for YTH MD associated with manuscript "Pliability in the m6A-binding region extends druggability of YTH domains"
No full textFiles for YTH MD associated with manuscript "Pliability in the m6A-binding region extends druggability of YTH domains"
No full textThermal compaction of the intrinsically disordered protein tau: entropic, structural, and hydrophobic factors
No full textGlobular denatured proteins have structural properties similar to those of random coils. Experiments on denatured proteins have shown that when the temperature is increased thermal compaction may take place, resulting in a reduction of their radius of gyration Rg to range between 5% and 35% of its initial value. This phenomenon has been attributed to various causes, namely entropic, hydrophobic, and structural factors. The intrinsically disordered protein tau, which helps in nucleating and stabilizing microtubules in the axons of the neurons, also undergoes a relevant compaction process: when its temperature is increased from 293 K to 333 K its gyration radius decreases by 18%. We have performed an atomistic simulation of this molecule, at the lowest and highest temperatures of the mentioned interval, using both standard molecular dynamics and metadynamics, in parallel with small-angle X-ray scattering experiments. Using the fit of the experimental data and a genetic algorithm to select the most probable configurations among those produced in both atomistic simulations (standard MD and metadynamics), we were able to compute relevant changes, related to the temperature increase, in the average angles between residues, in the transient secondary structures, in the solvent accessible surface area, and in the number of intramolecular H-bonds. The analysis of the data showed how to decompose the compaction phenomenon into three contributions. An estimate of the entropic contribution to the compaction was obtained using the changes in the mean values of the angles between contiguous residues. The computation of the solvent accessible surface at the two temperatures allowed an estimation of the second factor contributing to the compaction, namely the increase in the hydrophobic interaction. We also measured the change in the average number of residues temporarily being in α-helices, 3-helices, PP II helices, β-sheets and β-turns. Those changes in the secondary structure population produce a reduction in the contour length of the protein, yielding a structural contribution to the reduction of Rg. This analysis shows that in tau the entropic factor accounts for about 60% of the compaction, the hydrophobic factor for about 25%, and the change in the secondary structure for about 15%
Early events in protein aggregation: Molecular flexibility and hydrophobicity/charge interaction in amyloid peptides as studied by molecular dynamics simulations
No full textn a previous article (Zbilut et al., Biophys J 2003;85:3544-3557), we demonstrated how an aggregation versus folding choice could be approached considering hydrophobicity distribution and charge. In this work, our aim is highlighting the mutual interaction of charge and hydrophobicity distribution in the aggregation process. Use was made of two different peptides, both derived from a transmembrane protein (amyloid precursor protein; APP), namely, Abeta(1-28) and Abeta(1-40). Abeta(1-28) has a much lower aggregation propensity than Abeta(1-40). The results obtained by means of molecular dynamics simulations show that, when submitted to the most "aggregation-prone" environment, corresponding to the isoelectric point and consequently to zero net charge, both peptides acquire their maximum flexibility, but Abeta(1-40) has a definitely higher conformational mobility than Abeta(1-28). The absence of a hydrophobic "tail," which is the most mobile part of the molecule in Abeta(1-40), is the element lacking in Abeta(1-28) for obtaining a "fully aggregating" phenotype. Our results suggest that conformational flexibility, determined by both hydrophobicity and charge effect, is the main mechanistic determinant of aggregation propensity. (C) 2004 Wiley-Liss, Inc
Effect of DNA on the conformational dynamics of the endonucleases I-DmoI as provided by molecular dynamics simulations
No full textThe conformational behavior of the wild-type endonucleases I-DmoI and two of its mutants has been studied in the presence and in the absence of DNA target sequences by means of extended molecular dynamics simulations. Our results show that in the absence of DNA, the three protein forms explore a similar essential conformational space, whereas when bound to the same DNA target sequence of 25 base pairs, they diversify and restrain the subspace explored. In addition, the differences in the essential subspaces explored by the residues near the catalytic site for both the bound and unbound forms are discussed in background of the experimental protein activit
Molecular dynamics recipes for genome research
Full text linkMolecular dynamics (MD) simulation allows one to predict the time evolution of a system of interacting particles. It is widely used in physics, chemistry and biology to address specific questions about the structural properties and dynamical mechanisms of model systems. MD earned a great success in genome research, as it proved to be beneficial in sorting pathogenic from neutral genomic mutations. Considering their computational requirements, simulations are commonly performed on HPC computing devices, which are generally expensive and hard to administer. However, variables like the software tool used for modeling and simulation or the size of the molecule under investigation might make one hardware type or configuration more advantageous than another or even make the commodity hardware definitely suitable for MD studies. This work aims to shed lights on this aspect
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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