Cooperativity and regulation in biochemical processes by Arieh Y. Ben-Naim

Posted On March 24, 2017 at 1:25 pm by / Comments Off on Cooperativity and regulation in biochemical processes by Arieh Y. Ben-Naim

By Arieh Y. Ben-Naim

This can be the 1st ebook that makes an attempt to check the beginning of cooperatvity in binding platforms from the molecular standpoint. The molecular procedure offers a deeper perception into the mechanism of cooperativity and rules, than the normal phenomenological process. This e-book makes use of the instruments of statistical mechanics to give the molecular idea of cooperativity. Cooperativity is utilized in a range of processes-such as loading and unloading of oxygen at fairly small strain transformations; protecting a virtually consistent focus of varied compounds in dwelling cells; and switching on and stale the interpreting of genetic details. This e-book can be used as a textbook through graduate scholars in Chemistry, Biochemistry and Biophysics, and also will be of curiosity to researchers in theoretical biochemistry.

Show description

Read Online or Download Cooperativity and regulation in biochemical processes PDF

Similar biophysics books

Additional resources for Cooperativity and regulation in biochemical processes

Example text

We have earlier seen two limiting cases of X1(JC) in Eqs. 19). Instead of examining the nonlinear function XL(h) in the range O < A < <*>, it is more convenient to study the function XL(Q) in the range 1 < 9 < 1. By eliminating *More details on this topic can be found in Chapter 3 of Ben-Nairn (1992). X from Eqs. 4) This is a linear function in 0 (Fig. 5) Note that the slope is determined by the parameter h. When h=l,dL = Q. The sign of the slope dL depends on whether h > 1 or h < 1. 3 shows dL as a function of lPL for various values of h.

Note that independence is defined symmetrically with respect to Si and P(R) or, equivalently, g(#, #) > 1. They are negatively correlated whenever P(AfB) < P(X) or, equivalently, O < g(fl, 1B) < 1. We have defined the correlation function for any two events. 24) The correlation function for these two events is clearly a ratio of two polynomials in A,.

A tetrahedral arrangement of identical sites, all pairs and all triplet sites give the same PF. * A simple example is three identical subunits arranged linearly. The PFs for nearest-neighbor pairs might not be the same as the PF for next-nearest-neighbor pairs. 10). Similarly, four identical subunits arranged in a square might have two different PFs for a pair of occupied sites (nearest and next-nearest neighbors). 25) compared with the seven constants in Eq. 6). The probabilistic and thermodynamic interpretation of these constants is the same as for the different sites.

Download PDF sample

Rated 4.39 of 5 – based on 33 votes