RESEARCH: CANCER
FOLDING PROJECT #17802 PROFILE

PROJECT TEAM

Manager(s): Rafal Wiewiora
Institution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website

WORK UNIT INFO

Atoms: 22,500
Core: OPENMM_22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project explores using AI to understand how proteins work, specifically focusing on BCL-XL, a protein linked to lymphoma. Researchers are testing new methods called 'adaptive sampling' to build models of proteins from different data points. One version starts with many protein structures and connects them, while another starts with just one and predicts the rest.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

BCL-XL apoptotic protein --- a drug target in lymphoma.

More info coming soon.

Together with project 17800 this is also testing new methodology --- adaptive sampling.

This is the adaptive (first time on F@h) sampling version of the system. Project 17801 tests a 'simpler' version of the problem for the adaptive sampling algorithm --- we start from 35 crystal structures and attempt to connect them into one model. Project 17802 tests a 'harder' version of the problem --- we start from just 1 crystal structure and attempt to predict the other ones.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

BCL-XL

B Cell lymphoma 2-associated X protein

Technical: Medicine
Biotechnology / Pharmacology

BCL-XL is a protein that plays a role in preventing cell death. It is often overexpressed in cancer cells, making it a potential drug target.


apoptotic protein

A protein involved in programmed cell death (apoptosis).

Scientific: Medicine
Biotechnology / Pathology

Apoptotic proteins are essential for regulating cell death. They are involved in a complex cascade of events that lead to the dismantling and removal of damaged or unnecessary cells.


lymphoma

A type of cancer that affects the lymphatic system.

Medical: Healthcare
Medicine / Oncology

Lymphoma is a group of cancers that begin in the lymphocytes, a type of white blood cell that helps fight infection. It can affect lymph nodes, spleen, bone marrow, and other tissues.


drug target

A molecule or biological pathway that is a potential therapeutic target for a drug.

Technical: Medicine
Biotechnology / Pharmacology

Drug targets are often proteins or enzymes involved in disease processes. Developing drugs that interact with these targets can help treat or prevent diseases.


adaptive sampling

A method of selecting data points for analysis based on their properties.

Technical: Research
Biotechnology / Computational Biology

Adaptive sampling is a technique used to improve the efficiency of computational simulations and analyses. It involves dynamically adjusting the selection criteria for data points based on the evolving characteristics of the system being studied.


crystal structure

The three-dimensional arrangement of atoms in a molecule.

Scientific: Research
Biotechnology / Structural Biology

Crystal structures reveal the precise arrangement of atoms within molecules. This information is crucial for understanding protein function and designing drugs that target specific proteins.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:34:54
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 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,897,763 115,133 16.48 1 hrs 27 mins
2 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,778,539 111,243 15.99 1 hrs 30 mins
3 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,697,619 110,849 15.31 1 hrs 34 mins
4 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,558,931 107,902 14.45 1 hrs 40 mins
5 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,348,497 102,753 13.12 1 hrs 50 mins
6 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 958,773 91,656 10.46 2 hrs 18 mins
7 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 863,937 88,044 9.81 2 hrs 27 mins
8 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 709,933 83,057 8.55 2 hrs 48 mins
9 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 693,376 69,987 9.91 2 hrs 25 mins
10 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 681,419 81,825 8.33 2 hrs 53 mins
11 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 657,260 80,938 8.12 2 hrs 57 mins
12 GeForce GTX 1650
TU116 [GeForce GTX 1650] 2984
Nvidia TU116 591,798 77,957 7.59 3 hrs 10 mins
13 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 583,328 78,589 7.42 3 hrs 14 mins
14 P106-090
GP106 [P106-090]
Nvidia GP106 296,308 61,968 4.78 5 hrs 1 mins
15 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 289,008 64,558 4.48 5 hrs 22 mins
16 P104-100
GP104 [P104-100]
Nvidia GP104 266,257 59,954 4.44 5 hrs 24 mins
17 GeForce GTX 660 Ti
GK104 [GeForce GTX 660 Ti] 2634
Nvidia GK104 234,146 57,403 4.08 5 hrs 53 mins
18 P106-100
GP106 [P106-100]
Nvidia GP106 203,822 54,787 3.72 6 hrs 27 mins
19 Quadro K2200
GM107GL [Quadro K2200]
Nvidia GM107GL 157,030 50,265 3.12 7 hrs 41 mins
20 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 148,361 49,142 3.02 7 hrs 57 mins
21 GeForce GT 1030
GP108 [GeForce GT 1030] 1127
Nvidia GP108 129,825 47,053 2.76 8 hrs 42 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:34:54
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make