Research section Research projects and references

Research: CANCER Folding Project #19706

Project #19706 overview

Project Summary AI Beta

The project relates to how bacteria in our gut sense and break down different types of fiber. Scientists are using computer simulations to study specific proteins that help bacteria detect soluble vs. branched fibers. This could lead to better prebiotics, probiotics, and ways to manage health problems like IBD and diabetes.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Shivank Nag
Institution
University of Illinois Urbana-Champaign

Work unit

Atoms
238,035
Core
0x27
Status
Beta
Source material

Official Project Description

Substrate Selectivity in Commensal Gut Bacterial Sensors Hybrid Two-Component Sensor (HTCS) proteins help beneficial intestinal bacteria detect complex carbohydrates/fibers in their environment and upregulate Polysaccharide Uitilization Locus (PUL) genes which encode the transporters and enzymes required to degrade them into simpler sugars.

These sugars are fermented to produce beneficial metabolites like Short-Chain Fatty Acids (SFCAs) with several downstream benefits related to lipid and cholesterol metabolism, glucose regulation, and anti-inflammatory and anti-cancer effects. This project will study two β-propeller sensors in Bacterioides intestinalis, BACINT_04208 and BACINT_01044, with predicted preferences for soluble/unbranched versus insoluble/branched xylan-derived fibers.

Atomistic molecular dynamics simulations from docked poses with straight-chain xylan and branched arabinoxylan ligands will reveal binding/unbinding events to validate this hypothesized fiber selectivity in the sensors, along with specific residues implicated in ligand recognition.

The mechanistic insights from this project can support prebiotic and probiotic design and predictive microbiome models to address intestinal and metabolic health disorders like Inflammatory Bowel Diseases (IBDs) and Diabetes.

Performance data

Hardware Performance for Project 19706

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

Data as of Thursday, 03 September 2026 18:21:46

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 5090
GB202 [GeForce RTX 5090]
Nvidia GB202 42,000,860 233,927 179.55 0 hrs 8 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 32,030,401 1,357,083 23.60 1 hrs 1 mins
3 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 23,835,461 225,391 105.75 0 hrs 14 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 21,003,850 624,020 33.66 0 hrs 43 mins
5 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 19,135,789 1,441,556 13.27 1 hrs 48 mins
6 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 16,750,616 223,856 74.83 0 hrs 19 mins
7 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 15,174,839 673,136 22.54 1 hrs 4 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 10,321,451 240,000 43.01 0 hrs 33 mins
9 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 8,570,465 240,000 35.71 0 hrs 40 mins
10 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 6,543,728 240,000 27.27 0 hrs 53 mins
11 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 4,989,992 218,550 22.83 1 hrs 3 mins
12 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 4,751,002 240,000 19.80 1 hrs 13 mins
13 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 4,161,221 240,000 17.34 1 hrs 23 mins
14 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 3,629,849 240,000 15.12 1 hrs 35 mins
15 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,589,351 240,000 14.96 1 hrs 36 mins
16 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,483,161 240,000 10.35 2 hrs 19 mins
17 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 2,239,422 195,972 11.43 2 hrs 6 mins
18 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 1,889,042 240,000 7.87 3 hrs 3 mins