Freely jointed chain
The freely jointed chain (FJC), exposed through
FreelyJointedChain, models the chain as \(N\) rigid
segments of length \(b\) connected by perfectly flexible joints. Unlike the Gaussian
AFRC it uses the non-Gaussian Kuhn-Grün distribution, which respects the chain’s finite
extensibility: the end-to-end distance can never exceed the contour length
\(L = N b\).
Mathematical formalism
The radial end-to-end probability is
where \(x \in [0, 1)\) is the fractional extension and \(\beta = \mathcal{L}^{-1}(x)\) is the inverse Langevin function. The inverse Langevin is evaluated with the Cohen Padé approximant
which diverges as \(x \to 1\), correctly suppressing all probability beyond the contour length. At small extension the exponent reduces to \(\tfrac{3}{2} N x^2\), recovering the Gaussian chain with \(\langle R_e^2 \rangle = N b^2\); the root-mean-square size therefore approaches \(b\sqrt{N}\) from below. The radius of gyration uses the ideal-chain relation \(R_g = \sqrt{\langle R_e^2 \rangle}/\sqrt{6}\).
Parameters
Parameter |
Default |
Meaning and typical values |
|---|---|---|
|
3.8 Å |
Segment (Kuhn) length. The default corresponds to the Cα-Cα distance, i.e. one residue per segment. To represent a stiffer effective chain one can use a larger Kuhn length (a polypeptide Kuhn length is often quoted around 7-10 Å); \(N\) and \(b\) together fix the contour length \(L = Nb\). |
What to expect for a protein. With one segment per residue (\(b = 3.8\) Å) the FJC is an ideal chain: \(R_e \approx b\sqrt{N}\) and \(R_g \approx R_e/\sqrt{6}\), essentially matching the AFRC through the bulk of the distribution. The differences appear in the far tail (the FJC has a hard cutoff at \(L = Nb\)) and at short chain lengths, where finite extensibility pulls the mean and RMS slightly below the Gaussian values.
Citations
Kuhn, W., & Grün, F. (1942). Beziehungen zwischen elastischen Konstanten und Dehnungsdoppelbrechung hochelastischer Stoffe. Kolloid-Zeitschrift, 101(3), 248-271.
Cohen, A. (1991). A Padé approximant to the inverse Langevin function. Rheologica Acta, 30(3), 270-273.
Rubinstein, M., & Colby, R. H. (2003). Polymer Physics. Oxford University Press.