2015
DOI: 10.1039/c5ra08106h
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Circuit topology of linear polymers: a statistical mechanical treatment

Abstract: Circuit topology refers to the arrangement of interactions between objects belonging to a linearly ordered object set. Linearly ordered set of objects are common in nature and occur in a wide range of applications in economics, computer science, social science and chemical synthesis. Examples include linear bio-polymers, linear signaling pathways in cells as well as topological sorts appearing in project management. Using a statistical mechanical treatment, we study circuit topology landscapes of linear polyme… Show more

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Cited by 14 publications
(23 citation statements)
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References 21 publications
(55 reference statements)
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“…In Ref. [25] we used local topological data to reconstruct such an energy function. There, we observed that appropriate forms of two-contact interactions are enough to describe simple structural orders like modules and sectors.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In Ref. [25] we used local topological data to reconstruct such an energy function. There, we observed that appropriate forms of two-contact interactions are enough to describe simple structural orders like modules and sectors.…”
Section: Discussionmentioning
confidence: 99%
“…We observed that such energy functions could be useful in the study of complex link configurations in the presence of structural modules and sectors [25].…”
Section: A Distance Of Two Matrix Configurationsmentioning
confidence: 99%
“…Biological circuit topology is a mathematical approach that describes the relationships between intramolecular contacts within a folded molecule [13][14][15][16][17][18][19][20]. In this framework, pairwise relations between contacts can be defined using the logic rules of set theory [13,14].…”
Section: Introductionmentioning
confidence: 99%
“…1). The arrangement of the contacts has been shown to be a determinant of the folding rates and unfolding pathways of biomolecules, [14] and has important implications for bimolecular evolution and molecular engineering [15,16].…”
Section: Introductionmentioning
confidence: 99%