Physics of Self-assembly in Complex Matter

This dissertation is based on my graduate research studying complex matter in multiple areas of biological physics. While the complex matter systems in each area differ vastly in scale and function, I use similar computational approaches on each to answer scientific queries about their structure and dynamics. In the first and second sections, I present how graph theory helps interpret actomyosin networks, which are complex biological active matter composed of filament, linker, and motor proteins. The results show how the network’s dynamics and structure are reshaped by motor and multivalent actin-binding proteins (“multilinkers”). The third section presents my collaborative work with James Liman and Carlos Bueno on the effect of the actin-related protein (Arp2/3) complex on actomyosin dynamics. Generally, Arp2/3 forms a brancher between a mother and a daughter filament at an angle of 70^∘. I show that in percolating networks of actin monomers, Arp2/3 promotes avalanches (abrupt release of accumulated mechanical tension) in actomyosin. In the fourth section, I use deep learning to identify substructures in the global three-dimensional (3D) folded structure of genomes inside the cell nucleus. Those 3D substructures were originally detected by the Aiden lab’s Hi-C technology in 2014 when they reported the existence of approximately 10,000 long-range interactions in the human genome called loops. My deep learning model detected the most noticeable loops and alluded to the existence of many more loop-like interactions, which are not easily visible to the naked eye. In the fifth and final section of this dissertation, I present a collaborative work led by Dr. Fabio Zegarra on the effect of hydrodynamic interactions on the folding of proteins in water. Here, I describe how our computational model of hydrodynamic interactions between proteins and live intracellular media resolved an open question in the literature about whether (a) the effect of hydrodynamics interactions is negligible; (b) hydrodynamics interactions accelerate the folding process; or (c) hydrodynamic interactions decelerate the folding process. I show how all three conclusions are correct under certain circumstances, with an intimate dependence on the system’s temperature regime.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

Doctoral

Discipline thesis:degree_discipline

Physics

Grantor

University of Houston

Year dc:date.issued

2020

Author dc:creator

• Eliaz, Yosef Hai

Advisor dc:contributor.advisor

• Cheung, Margaret S.

Committee members dc:contributor.committeemember

• Kouri, Donald J.
• Gunaratne, Gemunu H.
• Josić, Krešimir
• Barato, Andre C.

• Networks
• Biophysics
• Complexity
• Complex Matter

Statement dc:rights

• The author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. UH Libraries has secured permission to reproduce any and all previously published materials contained in the work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/10657/8021

OAI identifier oai:identifier

oai:uh-ir.tdl.org:10657/8021