Predicting the Enthalpy and Gibbs Energy of Sublimation by QSPR Modeling.

The enthalpy and Gibbs energy of sublimation are predicted using quantitative structure property relationship (QSPR) models. In this study, we compare several approaches previously reported in the literature for predicting the enthalpy of sublimation. These models, which were reproduced successfully, exhibit high correlation coefficients, in the range 0.

Membrane Core-Specific Antimicrobial Action of Cathelicidin LL-37 Peptide Switches Between Pore and Nanofibre Formation.

Membrane-disrupting antimicrobial peptides provide broad-spectrum defence against localized bacterial invasion in a range of hosts including humans. The most generally held consensus is that targeting to pathogens is based on interactions with the head groups of membrane lipids. Here we show that the action of LL-37, a human antimicrobial peptide switches the mode of action based on the structure of the alkyl chains, and not the head groups of the membrane forming lipids.

BioPPSy: An Open-Source Platform for QSAR/QSPR Analysis.

The reliability of quantitative structure-property relationship (QSPR) and quantitative structure-activity relationship (QSAR) models is often difficult to assess due to the problems of accessing the tools and data used to build the models. We present here BioPPSy, which aims to fill this gap by providing an easy-to-use open-source software platform. We demonstrate the program capabilities by calculating three key properties used in drug discovery, aqueous solubility, Caco-2 cell permeability and blood-brain barrier permeability.

Influence of pH and sequence in peptide aggregation via molecular simulation.

We employ a recently developed coarse-grained model for peptides and proteins where the effect of pH is automatically included. We explore the effect of pH in the aggregation process of the amyloidogenic peptide KTVIIE and two related sequences, using three different pH environments. Simulations using large systems (24 peptides chains per box) allow us to describe the formation of realistic peptide aggregates.

An aspartyl protease defines a novel pathway for export of Toxoplasma proteins into the host cell.

Infection by Toxoplasma gondii leads to massive changes to the host cell. Here, we identify a novel host cell effector export pathway that requires the Golgi-resident aspartyl protease 5 (ASP5). We demonstrate that ASP5 cleaves a highly constrained amino acid motif that has similarity to the PEXEL-motif of Plasmodium parasites.

Controls and constrains of the membrane disrupting action of Aurein 1.2.

Aurein 1.2 is a 13 residue antimicrobial peptide secreted by the Australian tree frog Litoria Aurea. It is a surface-acting membrane disrupting peptide that permeabilizes bacterial membranes via the carpet mechanism; the molecular details of this process are mostly unknown.

Two Essential Light Chains Regulate the MyoA Lever Arm To Promote Toxoplasma Gliding Motility.

Unlabelled: Key to the virulence of apicomplexan parasites is their ability to move through tissue and to invade and egress from host cells. Apicomplexan motility requires the activity of the glideosome, a multicomponent molecular motor composed of a type XIV myosin, MyoA. Here we identify a novel glideosome component, essential light chain 2 (ELC2), and functionally characterize the two essential light chains (ELC1 and ELC2) of MyoA in Toxoplasma.

Insertion mechanism and stability of boron nitride nanotubes in lipid bilayers.

We provide insight into the interaction of boron nitride nanotubes (BNNTs) with cell membranes to better understand their improved biocompatibility compared to carbon nanotubes (CNTs). Contrary to CNTs, no computational studies exist investigating the insertion mechanism and stability of BNNTs in membranes. Our molecular dynamics simulations demonstrate that BNNTs are spontaneously attracted to lipid bilayers and are stable once inserted.

Modulation of a protein free-energy landscape by circular permutation.

Circular permutations usually retain the native structure and function of a protein while inevitably perturbing its folding dynamics. By using simulations with a structure-based model and a rigorous methodology to determine free-energy surfaces from trajectories, we evaluate the effect of a circular permutation on the free-energy landscape of the protein T4 lysozyme. We observe changes which, although subtle, largely affect the cooperativity between the two subdomains.

Sketching protein aggregation with a physics-based toy model.

We explore the applicability of a single-bead coarse-grained molecular model to describe the competition between protein folding and aggregation. We have designed very simple and regular sequences, based on our previous studies on peptide aggregation, that successfully fold into the three main protein structural families (all-α, all-β, and α + β). Thanks to equilibrium computer simulations, we evaluate how temperature and concentration promote aggregation.

Simple model for the simulation of peptide folding and aggregation with different sequences.

We present a coarse-grained interaction potential that, using just one single interaction bead per amino acid and only realistic interactions, can reproduce the most representative features of peptide folding. We combine a simple hydrogen bond potential, recently developed in our group, with a reduced alphabet for the amino acid sequence, which takes into account hydrophobic interactions. The sequence does not pose any additional influence in the torsional properties of the chain, as it often appears in previously published work.

Improvement of structure-based potentials for protein folding by native and nonnative hydrogen bonds.

Pure Gō models (where every native interaction equally stabilizes the folded state) have widely proved their convenience in the computational investigation of protein folding. However, a chemistry-based description of the real interactions also provides a desirable tune in the analysis of the folding process, and thus some hybrid Gō potentials that combine both aspects have been proposed. Among all the noncovalent interactions that contribute to protein folding, hydrogen bonds are the only ones with a partial covalent character.

A refined hydrogen bond potential for flexible protein models.

One of the major disadvantages of coarse-grained hydrogen bond potentials, for their use in protein folding simulations, is the appearance of abnormal structures when these potentials are used in flexible chain models, and no other geometrical restrictions or energetic contributions are defined into the system. We have efficiently overcome this problem, for chains of adequate size in a relevant temperature range, with a refined coarse-grained hydrogen bond potential. With it, we have been able to obtain nativelike alpha-helices and beta-sheets in peptidic systems, and successfully reproduced the competition between the populations of these secondary structure elements by the effect of temperature and concentration changes.

Topology-based models and NMR structures in protein folding simulations.

Topology-based interaction potentials are simplified models that use the native contacts in the folded structure of a protein to define an energetically unfrustrated folding funnel. They have been widely used to analyze the folding transition and pathways of different proteins through computer simulations. Obviously, they need a reliable, experimentally determined folded structure to define the model interactions.