By Hugo O. Villar (Eds.)
The second one quantity in a sequence which goals to target advances in computational biology. This quantity discusses such issues as: statistical research of protein sequences; growth in large-scale series research; and the structure of loops in proteins
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Additional resources for Advances in Computational Biology
These expectations are confirmed by the results from the simulations. 095, the system is in the phase separation region. The aggregate-size distribution function, N(A), in Figure 13(c), shows that the number of isolated proteins is low and large protein aggregates are formed. A^(A) is a measure of the number of protein aggregates consisting of A proteins. The appearance of the protein aggregates almost exclusively in the fluid region of the lattice is demonstrated by the snapshot of Figure 13(b).
Studies of the statistics of channel opening by conductance measurements Computation of Lipid-Protein Interactions 27 show that the dimers (channels) and monomers are in thermal equilibrium (Hladky and Haydon, 1972; Bamberg and Laiiger, 1973; Zingsheim and Neher, 1974) G+G^G2 (7) where G and G2 represent the gramicidin monomers and dimers, respectively. , 1983). 7 A. This is consistent with the fact that a decrease in mismatch makes the dimeric state more stable. There have been many theoretical studies on the kinetics of the channel formation and its dependence on membrane structure.
The height of this barrier, AiF(L), changes with system size very differently for different values of F^. F(L) is shown as a function of system size for the three values of F^ corresponding to Figures 4(a-c). Figure 5 shows that Air(L) decreases with increasing L for F^ = 3 x 10~^^erg/A, implying the absence of a transition, and increases with increasing L for F^ = 5 x 10~^^erg/A, implying the occurrence of a first-order phase transition. For F^ = 4 x 10"^^erg/A, the height of the barrier does not depend on system size to within calculational error, indicating that the transition for this parameter value is almost at a critical point.
Advances in Computational Biology by Hugo O. Villar (Eds.)