Research section Research projects and references

Research: MEMBRANE TRANSPORT Folding Project #17903

Project #17903 overview

Project Summary AI Beta

This project looks at how adding a phosphate group to the end of sugar transporter proteins affects how they work and clump together. Understanding this could help us learn about how cells adjust their sugar transport when their metabolism changes.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Austin Weigle
Institution
University of Illinois at Urbana-Champaign

Work unit

Atoms
179,499
Core
OPENMM_22
Status
Beta
Source material

Official Project Description

Measuring the Effects of Post-translational Modification on Membrane Transporter Function and Oligomerization: Membrane transporters possess terminal tails which can variably regulate their substrate recognition, gating dynamics, and oligomerization (see https://royalsocietypublishing.org/doi/full/10.1098/rsob.190083 for a review).

To reflect physiological conditions and satisfy the instantaneous demands of cells, these termini are known to be post-translationally modified (PTM).

PTMs, like phosphorylation, have been shown to regulate transporter function through allostery or direct local interactions, thus blocking transmembrane substrate import and/or export. Simulations in this project will be focused on studying how C-terminal phosphorylation affects oligomerization dynamics of a sugar transporter.

While a basic protein folding problem, understanding how PTMs affect transporter oligomerization, and oligomer dynamics, is critical for understanding biological regulations for basal transport activity.

This study's ability to observe how terminal PTMs may influence sugar transport dynamics has implications for studying cells in altered metabolic states.

Performance data

Hardware Performance for Project 17903

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Friday, 14 August 2026 15:29:54

GPU PPD Averages

Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,329,369 363,756 28.40 0 hrs 51 mins
2 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,616,997 196,568 8.23 2 hrs 55 mins