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Predicting Phase Behaviors of Biomol...

Li, Tianhao,

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Predicting Phase Behaviors of Biomolecular Condensates Using Minimal Models /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Predicting Phase Behaviors of Biomolecular Condensates Using Minimal Models // Tianhao Li.
Author:	Li, Tianhao,
Description:	1 electronic resource (182 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
Contained By:	Dissertations Abstracts International86-12B.
Subject:	Biophysics. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32038738
ISBN:	9798280747357

Predicting Phase Behaviors of Biomolecular Condensates Using Minimal Models /
Li, Tianhao,

Predicting Phase Behaviors of Biomolecular Condensates Using Minimal Models /Tianhao Li. - 1 electronic resource (182 pages)

Source: Dissertations Abstracts International, Volume: 86-12, Section: B.

Biomolecular condensates are membraneless compartments within living cells that play crucial roles in organizing cellular processes. Understanding their formation, function, and regulation has significant implications for elucidating biological processes and developing treatments for neurodegenerative diseases such as Alzheimer's. These condensates are widely believed to form through liquid-liquid phase separation (LLPS), driven by attractive molecular interactions. Predicting the phase behavior of biomolecular systems from these interactions remains a major challenge due to their inherent complexity. To address this, we introduced minimal models that capture essential features of biomolecular interactions. We developed simulation techniques and theoretical approaches to analyze these models. Our findings provide insights into the physical principles that govern phase separation, with potential applicability across a broad range of biomolecular systems.

English

ISBN: 9798280747357Subjects--Topical Terms:

518360
Biophysics.
Subjects--Index Terms:

Biomolecular condensates

Predicting Phase Behaviors of Biomolecular Condensates Using Minimal Models /
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100 1 $a Li, Tianhao, $e author. $0 (orcid)0009-0003-6129-0320 $3 3825038
245 1 0 $a Predicting Phase Behaviors of Biomolecular Condensates Using Minimal Models / $c Tianhao Li.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2025
300 $a 1 electronic resource (182 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
500 $a Advisors: Jacobs, William M. Committee members: Joseph, Jerelle A.; Wingreen, Ned S.; Torquato, Salvatore.
502 $b Ph.D. $c Princeton University $d 2025.
520 $a Biomolecular condensates are membraneless compartments within living cells that play crucial roles in organizing cellular processes. Understanding their formation, function, and regulation has significant implications for elucidating biological processes and developing treatments for neurodegenerative diseases such as Alzheimer's. These condensates are widely believed to form through liquid-liquid phase separation (LLPS), driven by attractive molecular interactions. Predicting the phase behavior of biomolecular systems from these interactions remains a major challenge due to their inherent complexity. To address this, we introduced minimal models that capture essential features of biomolecular interactions. We developed simulation techniques and theoretical approaches to analyze these models. Our findings provide insights into the physical principles that govern phase separation, with potential applicability across a broad range of biomolecular systems.
546 $a English
590 $a School code: 0181
650 4 $a Biophysics. $3 518360
650 4 $a Thermodynamics. $3 517304
650 4 $a Physical chemistry. $3 1981412
650 4 $a Energy. $3 876794
650 4 $a Biochemistry. $3 518028
653 $a Biomolecular condensates
653 $a Free energy
653 $a Phase separation
653 $a Liquid-liquid phase separation
653 $a Biomolecular interactions
690 $a 0786
690 $a 0348
690 $a 0494
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710 2 $a Princeton University. $b Chemistry. $e degree granting institution. $3 3823544
720 1 $a Jacobs, William M. $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 86-12B.
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792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32038738