4,952 research outputs found

    On the origin of the unusual behavior in the stretching of single-stranded DNA

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    Force extension curves (FECs), which quantify the response of a variety of biomolecules subject to mechanical force (ff), are often quantitatively fit using worm-like chain (WLC) or freely-jointed chain (FJC) models. These models predict that the chain extension, xx, normalized by the contour length increases linearly at small ff and at high forces scale as x(1fα)x \sim (1 - f^{-\alpha}) where α\alpha= 0.5 for WLC and unity for FJC. In contrast, experiments on ssDNA show that over a range of ff and ionic concentration, xx scales as xlnfx\sim\ln f, which cannot be explained using WLC or FJC models. Using theory and simulations we show that this unusual behavior in FEC in ssDNA is due to sequence-independent polyelectrolyte effects. We show that the xlnfx\sim \ln f arises because in the absence of force the tangent correlation function, quantifying chain persistence, decays algebraically on length scales on the order of the Debye length. Our theory, which is most appropriate for monovalent salts, quantitatively fits the experimental data and further predicts that such a regime is not discernible in double stranded DNA.Comment: Accepted for publication in JC

    Towards Assume-Guarantee Profiles for Autonomous Vehicles

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    Rules or specifications for autonomous vehicles are currently formulated on a case-by-case basis, and put together in a rather ad-hoc fashion. As a step towards eliminating this practice, we propose a systematic procedure for generating a set of supervisory specifications for self-driving cars that are 1) associated with a distributed assume-guarantee structure and 2) characterizable by the notion of consistency and completeness. Besides helping autonomous vehicles make better decisions on the road, the assume-guarantee contract structure also helps address the notion of blame when undesirable events occur. We give several game-theoretic examples to demonstrate applicability of our framework
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