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Toward accurate free energy calculations in biomolecular simulation: advances in Markov model reweighting and expanded ensemble method

Abstract

dc:description.abstract

The rational design of stable, preorganized peptides/ligands demands precise atomistic insights into their folded and unfolded conformational ensembles, which are often challenging to obtain from simulations alone due to timescale limitations and force field inaccuracies. This dissertation advances computational tools for molecular design by integrating molecular dynamics (MD) simulations with experimental data and developing enhanced sampling methods for reliable free energy landscapes. In Chapter 2, we present the Bayesian Inference of Conformational Populations (BICePs) framework to reweight Markov state models constructed from extensive MD trajectories against nuclear magnetic resonance (NMR) measurements. Applied to ten linear and cyclic beta-hairpin peptide mimics, BICePs refines Karplus parameters for scalar couplings and reweights ensembles using NOE distances, chemical shifts, and ³JHN H\alpha couplings. The resulting folding landscapes accurately capture the effects of subtle chemical modifications on stability (≤2 kJ/mol changes), aligning with experimental trends and outperforming prior NAMFIS estimates, demonstrating robustness for experiment-guided simulation refinement. Chapter 3 introduces a hybrid 1/t-modified Wang-Landau (WL) algorithm designed to mitigate error saturation in expanded-ensemble methods. We test this algorithm in both a toy model of harmonic potentials and all-atom alchemical simulations to estimate the hydration free energy of paracetamol. In each case, we find that the hybrid 1/t WL algorithm reduces saturation errors by up to 30%, enabling sub-0.1 kT precision without plateaus. Systematic analysis of switching thresholds reveals optimal strategies for convergence of the method. Together, these approaches provide a unified pipeline for accurate simulation-based prediction of thermodynamic quantities, with implications for de novo design.

Degree

thesis:*
Grantor dc:publisher
Temple University. Libraries
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nguyen, Dung
Advisor dc:contributor.advisor
  • Voelz, Vincent
Committee members dc:contributor.committeemember
  • Carnevale, Vincenzo
  • Levy, Ronald M.
  • Sharp, Kim A.

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • IN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Repository record dc:identifier.uri
https://scholarshare.temple.edu/handle/20.500.12613/12143
OAI identifier oai:identifier
oai:scholarshare.temple.edu:20.500.12613/12143

Chain of custody

source
Harvested from
Temple University
Base URL
scholarshare.temple.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Nguyen, Dung. Toward accurate free energy calculations in biomolecular simulation: advances in Markov model reweighting and expanded ensemble method. Temple University. Libraries, 2025. https://scholarshare.temple.edu/handle/20.500.12613/12143