2005
DOI: 10.1016/j.nuclphysb.2004.10.062
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Functionals linear in curvature and statistics of helical proteins

Abstract: The effective free energy of globular protein chain is considered to be a functional defined on smooth curves in three dimensional Euclidean space. From the requirement of geometrical invariance, together with basic facts on conformation of helical proteins and dynamical characteristics of the protein chains, we are able to determine, in a unique way, the exact form of the free energy functional. Namely, the free energy density should be a linear function of the curvature * E-mail: feoli@unisannio.it; fax: +39… Show more

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Cited by 28 publications
(30 citation statements)
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“…acting on a space C of curves defined in some interval I ⊂ R and so, in principle, without any boundary conditions (see for example [13,14]). The first variation δQ γ : TC γ → R can be computed as usual to get…”
Section: Hamiltonian Minimal Hopf Tubesmentioning
confidence: 99%
“…acting on a space C of curves defined in some interval I ⊂ R and so, in principle, without any boundary conditions (see for example [13,14]). The first variation δQ γ : TC γ → R can be computed as usual to get…”
Section: Hamiltonian Minimal Hopf Tubesmentioning
confidence: 99%
“…This illustrates the novelty of our approach to our question: instead of knowing a precise energy, we know instead that in biological applications helical curves do arise, so we consider which mathematical models are possible to describe these, if we permit our energy to depend on intrinsic properties of the backbone curve, namely curvature, torsion and their derivatives. In this way we significantly broaden the class of energies considered for this problem by Feoli et al [20].…”
mentioning
confidence: 93%
“…[16]), various authors including Feoli et al [20] and Banavar and Maritan [8] have not been concerned to overlook this chemical structure in mathematical modelling of helices. Furthermore it is known that proteins with the same biological task in different animal species have very similar geometric shapes but may only have 25% of their constituent amino acids in common [32].…”
mentioning
confidence: 99%
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