Document text
Principal Investigator: Mahmoud Moradi
Organization: UNIVERSITY OF ARKANSAS AT FAYETTEVILLE
Fiscal Year: 2024
Award: $364,373
Funding agency: National Institute of General Medical Sciences
PROJECT SUMMARY
With recent advances in structural biology and supercomputing technology, all-atom molecular dynamics
(MD) simulation technique has gained momentum as a prominent tool for the study of protein structural
dynamics. Brute-force MD, however, is not capable of adequately sampling most functionally relevant
biomolecular processes such as large-scale protein conformational changes. Various approaches have been
developed over the last three decades to address the “timescale gap” that hinders the use of MD in real-
world applications. Free energy calculation methods, enhanced sampling techniques, and path-finding
algorithms are examples of umbrella terms that describe many of these methods. This project specifically
aims at employing, tailoring, and fine-tuning state-of-the-art enhanced sampling and path-finding
algorithms to address important biological and biomedical questions. The overall aim of this project is to
develop and employ robust and practical sampling and analysis protocols to study functionally relevant
conformational changes of various proteins from fibroblast growth factor to coronavirus spike protein. Our
proposed methodological framework specifically takes advantage of (1) robust theoretical formalisms
rooted in nonequilibrium statistical mechanics and differential geometry; (2) system-specific enhanced
sampling protocols that are tunable for the specific problem at hand; and (3) and integrative and synergistic
approach to experimental (specifically smFRET) and computational (specifically MD) techniques. Some
of the systems proposed to be studied here include proton-coupled oligopeptide transporters, influenza
hemagglutinin, ATP-binding transporters, coronavirus spike proteins, mechanosensitive channel of large
conductance, membrane insertase YidC, serotonin transporter, and fibroblast growth factor (FGF) protein.
The common theme in all of these projects is the large-scale conformational changes involved in the
function of these proteins. The successful use of the methodology proposed in this project will allow the
characterization of these conformational changes at the molecular level and pave the groundwork for the
routine application of state-of-the-art enhanced sampling techniques in the study of real world biological
problems.
Terms: <5HT transporter><5HTT protein><Address><Algorithms><Binding><Biological><CoV S protein><CoV glycoprotein S><CoV spike glycoprotein><CoV spike protein><Computing Methodologies><Coronavirus glycoprotein S><Coronavirus spike protein><Coupled><DNA Synthesis Factor><Endothelial Cell Growth Factor><FGF><Fibroblast Growth Factor><Fibroblast Growth Factor Gene Family><Fibroblast Growth Regulatory Factor><Free Energy><Growth Agents><Growth Factor><Growth Substances><H+ element><Hand><Human><Hydrogen Ions><Influenza HA><Influenza Hemagglutinin><Membrane><Methodology><Methods><Modern Man><Molecular><Molecular Configuration><Molecular Conformation><Molecular Dynamics Simulation><Molecular Interaction><Molecular Stereochemistry><Oligopeptides><Physics><Play><Process><Protein Conformation><Proteins><Proteins Growth Factors><Protocol><Protocols documentation><Protons><Role><Sampling><Statistical Mechanics><Supercomputing><System><Techniques><Technology><biologic><computational methodology><computational methods><computer based method><computer methods><computing method><conformation><conformational><conformational state><conformationally><conformations><coronavirus S protein><coronavirus spike glycoprotein><differential geometry><flu HA><flu hemagglutinin><hands><influenza viral HA><influenza viral hemagglutinin><influenza virus HA><influenza virus hemagglutinin><membrane structure><molecular dynamics><protein function><real world application><serotonin transporter><single-molecule FRET><single-molecule fluorescence resonance energy transfer><smFRET><social role><sodium-dependent serotonin transporter><structural biology><super computing><symplectic geometry><tool>