Managing construction funds and investments with a computer model.
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In this work we combine body surface potential map (BSPM) and magnetocardiogram (MCG) measurements with computer simulations in order to elucidate a recent thesis that claims the orthogonality of the main sources of MCG and ECG. Body surface currents and MCG pseudo currents are calculated from measured BSPM and MCG data, respectively. In contrast to the MCG-ECG source orthogonality thesis, we observe the main orientation of the BSPM currents and MCG pseudo currents to have similar axis during most of the depolarization R wave. In an attempt to explain such measurements we simulate a 2D transmural slice of the left ventricle in contact to a volume conductor. The main magnetic source currents along the wave front are indeed orthogonal to the extracellular electric current. However, fiber orientation inhomogeneity through the ventricular wall, volume conductor interface, wave front shape and extra- and intracellular potential distributions, all distort the symmetry of the current loops that contain the wave front currents. The resulting asymmetry rotates the main axis of the pseudo MCG currents away from the orthogonal axis of the body surface currents. Thus, the simulation results could solve the apparent contradiction between the orthogonal source theory and the observed similar ECG and MCG main current axis.
There are neurons in the hippocampus that become active only when an animal is near a particular location in a specific environment. The activity of some of these units is known to be governed by the configuration of a small set of discrete landmarks. In order to respond in this fashion, these neurons must, in effect, be able to recognize particular locations. A model of this recognition process is described which is able to make quantitative predictions about how the response of these place-field units varies as properties of the environmental landmarks are manipulated. Computer simulations of the model show that it is consistent with the available quantitative data. These simulations also predict large, characteristic changes in place-field location and size with manipulations of the environmental landmarks. Comparison of this kind of prediction with actual experiments will serve as a test of the validity of the model.
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The genes of the heavy and light chain variable region (VH, VL) of Z12 antibody against hTNF-alpha were cloned, and according to the translated sequence of amino acids, the spatial structures of VH and VL domains were modeled by using homology-based modeling method, followed by constructing the whole three-dimensional structure of Fv fragment. The complex model of Fv interacting with hTNF-alpha was gained with computer-guided molecular docking method, based on which, it was predicted that the epitope recognized by Z12 was from 141 to 146 of hTNF-alpha. hTNF-alpha molecule was divided into two fragments of N-terminal region from 1 to 91 and C-terminal region from 92 to 157 with prokaryotic expression. The measured results suggested that the antigenic epitope recognized by Z12 antibody was located in the C-terminal region 92-157 of hTNF-alpha, proving the predicted result reliable preliminarily. Further experimental results showed that after hTNF-a 141-146 residues were deleted, Z12 antibody almost lost the ability to recognize the mutant, suggesting that the amino acid residues from 141 to 146 of hTNF-alpha were specially recognized by Z12 antibody.
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The cholera toxin from Vibrio cholerae (CT) and the 80% homologous heat-labile toxin of Escherichia coli (LT) are two well-known cases of sugar-binding proteins. The GM1:toxin complexes were chosen as test cases for the elaboration of a computational approach to the modeling of protein-saccharide interactions. The reliability of the method was evaluated on the LT:lactose complex. A model of this complex was built by performing a MC/EM conformational search of the sugar moiety within the binding pocket of LT, using the AMBER* force field and the GB/SA solvation model. The results are a reasonable reproduction of the reported X-ray structure of the complex. The same protocol was then applied to the LT:GM1 complex. The calculations were performed on a substructure that includes the protein shell within 5 A from GM1, three water molecules solvating Glu-51 carboxylate, and two water molecules at crystallographic sites 2 and 3. A satisfactory agreement was found with the recently published X-ray structure of the CT:GM1 complex. All the relevant interactions between the sugar and the residues involved in binding are well reproduced by the calculations. These results suggest that the substructure here identified can be taken as a realistic representation of the toxin binding surface and that the method presented in this paper can be used as a predictive tool in designing artificial LT (CT) binders and thus potential anticholera drugs.
Nasal inspiration is important for maintaining the internal milieu of the lung, since ambient air is conditioned to nearly alveolar conditions (body temperature and fully saturated with water vapor) on reaching the nasopharynx. We conducted a two-dimensional computational study of transport phenomena in model transverse cross sections of the nasal cavity of normal and diseased human noses for inspiration under various ambient conditions. The results suggest that during breathing via the normal human nose there is ample time for heat and water exchange to enable equilibration to near intraalveolar conditions. A normal nose can maintain this equilibrium under extreme environments (e.g., hot/humid, cold/dry, cold/humid). The turbinates increase the rate of local heat and moisture transport by narrowing the passageways for air and by induction of laminar swirls downstream of the turbinate wall. However, abnormal blood supply or mucous generation may reduce the rate of heat or moisture flux into the inspired air, and thereby affect the efficacy of the process.
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Disorders of the basal ganglia and the extrapyramidal motor system exhibit an imbalance of neurotransmitter concentrations in affected neurons. For three synapses with dopamine, acetylcholine, and gamma-amino butyric acid (GABA), mathematical models of synaptic transmission are developed. To describe the kinetics of transmitter substances, compartment analysis is used. Membrane potential behaviour is described by the Hodgkin-Huxley equations with an additional equation accounting for a presynaptic calcium current mediating transmitter release. At the postsynaptic site, activated receptor molecules control the activity of ion channels, eliciting either inhibitory or excitatory postsynaptic potentials. A simple model of the feedback loop connecting the caudate nucleus and the substantia nigra is simulated on a digital computer using the simulation language ACSL. A comparison of the control case with a model of Parkinson's disease shows a shift of eigenvalues towards zero in the diseased state.