Quinn MacPherson
Stanford University
21 Papers
45 Citations
Quinn MacPherson is an academic researcher from Stanford University. The author has contributed to research in topics: Chromatin & Phase transition. The author has an hindex of 7, co-authored 18 publications. Previous affiliations of Quinn MacPherson include University of Idaho.
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Papers
Bottom-up modeling of chromatin segregation due to epigenetic modifications.
TL;DR: This work provides an estimate of the amount of epigenetic marking needed to segregate a gene into heterochromatin, and implements a binding model in which HP1 preferentially binds to trimethylated histone tails and then oligomerizes to bridge together nucleosomes.
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Impact of Conformational and Chemical Correlations on Microphase Segregation in Random Copolymers
TL;DR: In this paper, a model of semi-flexible random copolymers using the worm-like chain model was developed to capture conformational correlation of the polymer chains and to address the thermodynamics of microphase segregation and the structure of the segregated domains.
21
Geometrical Heterogeneity Dominates Thermal Fluctuations in Facilitating Chromatin Contacts.
TL;DR: Observations demonstrate that nucleosome spacing acts as the primary source of the structural heterogeneity that dominates local and global chromatin organization.
17
Polymer Semiflexibility Induces Nonuniversal Phase Transitions in Diblock Copolymers.
TL;DR: It is found that both finite N and α enhance the stability of the lamellar phase above the order-disorder transition, demonstrating that polymer semiflexibility plays a dramatic role in the phase behavior, even for large chain lengths.
13
Closing the loop between microstructure and charge transport in conjugated polymers by combining microscopy and simulation
Luke Balhorn,Quinn MacPherson,Karen C. Bustillo,Christopher J. Takacs,Andrew J. Spakowitz,Alberto Salleo +5 more
TL;DR: In this article , an experimental map of polymer microstructure is used to constrain a simulation of polymer chains, creating a model structure that is more detailed across multiple length scales than either method individually.
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