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Determination of End-to-End Distances in Oligomers by Pulsed EPR

The Journal of Physical Chemistry, 1996
Conformations of end-labeled alkanes in a rigid polymer matrix were investigated using the pulsed double electron-electron resonance (DEER) method. To this end, dipolar spectra of a series of aliphatic dicarbonic acids with 8−20 methylene units and chain ends bifunctionalized with nitroxide radicals were recorded in a polystyrene matrix. The biradicals
Pfannebecker, V.   +6 more
openaire   +2 more sources

End to end distance measurement algorithms in biology sequences

2020 15th Iberian Conference on Information Systems and Technologies (CISTI), 2020
Biological information inside the DNA allows many characteristics variations. The translation of DNA from cells into sequences, is a very demanding computational process, which over the last decades biologists try to decode and understand. Search and match algorithms, mostly oriented to fuzzy search, are essential to define the structural biological ...
Pedro Martins, Maryam Abbasi
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The distribution of end-to-end distances of the weakly bending rod model

Biopolymers, 2000
The weakly bending rod model is an approximation to a worm-like chain in the limit where the ratio L(0)/P of the contour length L(0) to the persistence length P is not too large. The range of validity of the weakly bending rod model is investigated by deriving analytical expressions for its distribution of end-to-end distances P(L) and its moments and
J M, Schurr, B S, Fujimoto
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Direct Measurement of the End‐to‐End Distance of Individual Polyfluorene Polymer Chains

ChemPhysChem, 2005
AbstractWide‐field imaging of individual multichromophoric molecules and successive photobleaching were used to determine, accurately, the relative position of the chromophores in such systems. First, a polyphenylene dendrimer with well‐defined geometry was used to establish the accuracy in localization that can be obtained by this methodology.
Muls, B.   +8 more
openaire   +3 more sources

Mean end-to-end distance of branched polymers

Journal of Physics A: Mathematical and General, 1979
The author uses Monte Carlo methods to calculate the mean end-to-end distance of randomly branched polymer molecules. Molecular realisations are brown on the square and simple cubic lattices, and consist of N bifunctional monomers and Nf polyfunctional branching units of functionality f.
openaire   +1 more source

Persistence Length, End-to-End Distance, and Structure of Coarse-Grained Polymers

Journal of Chemical Theory and Computation, 2018
Coarse-grained (CG) polymer simulations can access longer times and larger lengths than all-atom (AA) molecular dynamics simulations; however, not all CG models correctly reproduce polymer properties on all length scales. Here we coarse-grain atomistic position data from polyethylene (PE) and polytetrafluoroethylene (PTFE) melt simulations by combining
K. Michael Salerno, Noam Bernstein
openaire   +2 more sources

The end-to-end distance of RNA as a randomly self-paired polymer

Journal of Theoretical Biology, 2011
In this paper, we present the end-to-end distance of randomly self-paired polymers (RSPPs). We define a randomly self-paired polymer as a linear polymer each of whose monomers has a probability, f ...
openaire   +3 more sources

The Shapes of Random Walks with Fixed End-to-End Distance

1990
Fixed length random walks embedded in d spatial dimensions are discussed. As a representation of polymers, they correspond to long chain molecules whose heads and tails are fixed in space. An exact analytical expression for the asphericity is presented that is valid in arbitrary spatial dimensionality.
A. Beldjenna, J. Rudnick, G. Gaspari
openaire   +1 more source

An end-to-end distance measuring for mixed data based on deep relevance learning

Intelligent Data Analysis, 2020
Distance Measuring between two mixed data objects is the basis of many learning algorithms. The complex relevance between heterogeneous – various types/scales – attributes has a significant influence on the measured results. In this paper, we propose an End-to-End Distance Measuring method for mixed data based on deep relevance learning, called E2DM ...
Li Cheng 0001   +2 more
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End-to-end Mispronunciation Detection with Simulated Error Distance

Interspeech 2022, 2022
Zhan Zhang 0010   +2 more
openaire   +1 more source

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