Advances in Computational Biology by Hugo O. Villar (Eds.)

By Hugo O. Villar (Eds.)

The second one quantity in a chain which goals to target advances in computational biology. This quantity discusses such issues as: statistical research of protein sequences; development in large-scale series research; and the structure of loops in proteins

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One macroscopic consequence of the dynamic membrane heterogeneity is that response functions, such as the specific heat or the compositional susceptibility, exhibit anomalies as a function of temperature. In particular, the specific heat has a sharp peak at the main transition. The peak intensity decreases for decreasing chain length whereas the intensity in the wings of the transition increases. Hence, away from the main transition, shorter acyl-chain lengths lead to a higher degree of membrane heterogeneity.

The parameter, F^Q, is related to the hydrophobic effect describing the hydrophobic area exposed to water by the longer species. E^ is the strength of the hydrogen bonding between the two monomers of a dimer. E. Model of Polypeptide Aggregation and Channel Formation In Section D we proposed a model for a specific case of ionic channel formation in a lipid bilayer environment: the monomer-dimer process for the formation of the gramicidin-A channel. There are many possible mechanisms for channel formation depending on the nature of the components of the system under consideration.

1993b). The simulation results agreed well with the experimental data of Morrow et al. (1985) and Morrow and Davis (1988). 25 A, where d^Q is the acyl-chain length of DPPC in the fluid state. 25 x 10"^^erg. In the present version of the model, the pure DPPC bilayer has a fluctuation-dominated first-order transition. Extremely long simulations were performed at the chemical potential corresponding to the transition at the chosen temperature. Figure 9 shows the free energy functional, iF(|ij^, T, L), defined in Eq.

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