Modelling autocatalytic networks with artificial microbiology

Cells can usefully be equated to autocatalytic networks that increase in mass and then divide. To begin to model relationships between autocatalytic networks and cell division, we have written a program of artificial chemistry that simulates a cell fed by monomers. These monomers are symbols that can be assembled into linear (non-branched) polymers to give different lengths. A reaction is catalysed by a particular polymer or 'enzyme' that may itself be a reactant of that reaction (autocatalysis). These reactions are only studied within the confines of the 'cell' or 'reaction chamber'. There is a flux of material through the cell and eventually the mass of polymers reaches a threshold at which we analyse the cell. Our results indicate a similarity between the connectivity of the reaction network and that of real metabolic networks. Developing the model will entail attributing increased probabilities of reactions to polymers that are colocalised to evaluate the consequences of the dynamics of large assemblies of diverse molecules (hyperstructures) and of cell division.     

Molecular simulation study of cooperativity in hydrophobic association: clusters of four hydrophobic particles

The multibody contribution to the potential of mean force (PMF) of hydrophobic association of four methane molecules in water was investigated by means of umbrella-sampling molecular dynamics. Two systems were considered: (i). a trigonal pyramid with three methane molecules at contact distance forming a fixed base, the fourth molecule being placed on the top with variable distance from the base; and (ii). a regular uniformly expanding tetrahedron. Methane-methane distances as far as 12.5 A, i.e. beyond the second solvent-separated minimum of the PMF, were considered to address the baseline problem. In contrast to the small effect in the three-body case studied previously (Protein Sci 9 (2000) 1235), the multibody contribution was found to amount to approximately 0.2 kcal/mol per methane-methane pair, or approximately 25% of the depth of the contact minimum in the PMF. The main effect of the multibody contribution to the PMF is a reduction of the height of the barrier between the contact and solvent separated minima and a narrowing of the region of its maximum, while the region of the contact minimum is affected only weakly. The reduction of the barrier is due to four-body contributions. The cooperative contributions to the PMF agree very well with those computed from the molecular surface of the systems under consideration, which further supports earlier observations that the molecular surface can be used with good accuracy to describe the energetics of hydrophobic association.     

Unblocked statistical-coil tetrapeptides in aqueous solution: quantum-chemical computation of the carbon-13 NMR chemical shifts

We recently reported a theoretical characterization of representative ensembles of statistical-coil conformations for tetrapeptides with unblocked termini in aqueous solution, at pH 7. The results showed good agreement between the computed Boltzmann-averaged and experimentally-determined values for both the vicinal coupling constants ³J_NH and the -proton chemical shifts. Here, we carry out a cluster analysis of the ensembles of conformations generated in that study, and use them to compute the Boltzmann-averaged values of the quantum-chemical ¹³C chemical shifts for different amino acids in the unblocked tetrapeptides GGXA (where X stands for Phe, Arg, His, Glu, Ile, Lys, Gln, Tyr, Leu, Thr, Ala, Gly and Val). The values of the ¹³C chemical shifts in these thirteen amino acids (for which experimental data are available) were computed by using Density Functional Theory with a 6–311+G(2d,p) basis set. Good agreement is found in terms of both the correlation coefficient (R) and standard deviations of the difference between the computed Bolztmann-averaged and the NMR-determined values for the ¹³C chemical shifts. These results suggest that it may be possible to build a reliable theoretically-derived database of chemical shifts for statistical-coil residues. The results of the current study contribute to our understanding of the relations between chemical shifts, dihedral angles and vicinal coupling constants, ³J_NH. In addition, they can shed light as to how the statistical-coilconformation is related to the conformational preference of more structured states, such as the -helical conformation.     

Technique for cloning and sequencing the ends of bacterial artificial chromosome inserts

Bacterial artificial chromosome (BAC) libraries are an important tool for positional cloning, gene analysis and physical mapping. During studies using BAC clones, it is often necessary to organize them into contiguous sequences (contigs). To finalize, join and extend the contigs, both cloning and sequencing of the ends of the inserts are required. Here, we describe a low-cost, accessible, fast and powerful method for the routine isolation of BAC ends. This method allows the isolation of 20 BAC clone ends in one day. The analysis of the ends reveals fragment sizes compatible with sequencing, and the structure of these clones allows the sequencing of both ends using the same plasmid. Moreover, long end fragments can be sequenced in both directions.     

Studying Memory Encoding to Promote Reliable Engagement of the Medial Temporal Lobe at the Single-Subject Level

The medial temporal lobe (MTL)—comprising hippocampus and the surrounding neocortical regions—is a targeted brain area sensitive to several neurological diseases. Although functional magnetic resonance imaging (fMRI) has been widely used to assess brain functional abnormalities, detecting MTL activation has been technically challenging. The aim of our study was to provide an fMRI paradigm that reliably activates MTL regions at the individual level, thus providing a useful tool for future research in clinical memory-related studies. Twenty young healthy adults underwent an event-related fMRI study consisting of three encoding conditions: word-pairs, face-name associations and complex visual scenes. A region-of-interest analysis at the individual level comparing novel and repeated stimuli independently for each task was performed. The results of this analysis yielded activations in the hippocampal and parahippocampal regions in most of the participants. Specifically, 95% and 100% of participants showed significant activations in the left hippocampus during the face-name encoding and in the right parahippocampus, respectively, during scene encoding. Additionally, a whole brain analysis, also comparing novel versus repeated stimuli at the group level, showed mainly left frontal activation during the word task. In this group analysis, the face-name association engaged the HP and fusiform gyri bilaterally, along with the left inferior frontal gyrus, and the complex visual scenes activated mainly the parahippocampus and hippocampus bilaterally. In sum, our task design represents a rapid and reliable manner to study and explore MTL activity at the individual level, thus providing a useful tool for future research in clinical memory-related fMRI studies.     

Effect of colony morphology variation of <Emphasis Type="Italic">Burkholderia pseudomallei</Emphasis> on intracellular survival and resistance to antimicrobial environments in human macrophages in vitro

Background  

Primary diagnostic cultures from patients with melioidosis demonstrate variation in colony morphology of the causative organism, Burkholderia pseudomallei. Variable morphology is associated with changes in the expression of a range of putative virulence factors. This study investigated the effect of B. pseudomallei colony variation on survival in the human macrophage cell line U937 and under laboratory conditions simulating conditions within the macrophage milieu. Isogenic colony morphology types II and III were generated from 5 parental type I B. pseudomallei isolates using nutritional limitation. Survival of types II and III were compared with type I for all assays.     

A new approach to microtubule depolymerization

Microtubule thermal denaturation is treated in the framework of the Ising model. The partition function is calculated with a new iterative procedure which allows us to calculate values of the denaturation curves and enthalpy changes in excellent agreement with the experimental data, We also obtain the excess heat capacity due to polymerization, OCp.