RESEARCH: CANCER
FOLDING PROJECT #17801 PROFILE
PROJECT TEAM
Manager(s): Rafal WiewioraInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 22,500Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at BCL-XL, a protein that stops cells from dying, as a potential drug target for lymphoma. They're testing new ways to analyze data called 'adaptive sampling', which hasn't been used in this kind of research before.
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.
RELATED TERMS GLOSSARY AI BETA
BCL-XL
B-cell lymphoma-extra large protein
BCL-XL is a protein that plays a role in regulating cell death (apoptosis). In certain types of cancer, like lymphoma, BCL-XL levels are often high, which can prevent cells from dying properly and contribute to the growth of tumors. Therefore, BCL-XL has become a drug target for cancer therapy.
apoptotic protein
A protein involved in the process of programmed cell death (apoptosis).
Apoptotic proteins are essential for normal cellular function. They control the process of apoptosis, which is a natural and controlled way for cells to die. This process is important for removing damaged or unwanted cells, as well as for regulating tissue development and homeostasis. In cancer, defects in apoptotic pathways can lead to uncontrolled cell growth and tumor formation.
drug target
A specific molecule (protein, enzyme, receptor) that is involved in a disease pathway and is targeted by drugs to treat the disease.
Drug targets are essential for developing new therapies. By identifying and understanding the molecules that contribute to disease progression, researchers can design drugs that specifically inhibit or modulate their activity. This targeted approach can lead to more effective treatments with fewer side effects.
lymphoma
A type of cancer that affects the lymphatic system, which is part of the immune system.
Lymphoma involves the abnormal growth of lymphocytes, a type of white blood cell. There are different subtypes of lymphoma, classified based on the type of lymphocyte involved and the aggressiveness of the disease. Treatment options for lymphoma include chemotherapy, radiation therapy, immunotherapy, and stem cell transplantation.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:34:56|
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 | 3,660,881 | 143,478 | 25.52 | 0 hrs 56 mins |
| 2 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,118,416 | 135,997 | 22.93 | 1 hrs 3 mins |
| 3 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,568,574 | 127,441 | 20.16 | 1 hrs 11 mins |
| 4 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,354,331 | 123,514 | 19.06 | 1 hrs 16 mins |
| 5 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,311,731 | 123,055 | 18.79 | 1 hrs 17 mins |
| 6 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 1,938,322 | 115,973 | 16.71 | 1 hrs 26 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,686,024 | 110,303 | 15.29 | 1 hrs 34 mins |
| 8 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,542,241 | 101,570 | 15.18 | 1 hrs 35 mins |
| 9 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,505,741 | 106,308 | 14.16 | 1 hrs 42 mins |
| 10 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,353,363 | 102,972 | 13.14 | 1 hrs 50 mins |
| 11 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,287,642 | 101,709 | 12.66 | 1 hrs 54 mins |
| 12 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,231,952 | 100,117 | 12.31 | 1 hrs 57 mins |
| 13 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,123,626 | 96,785 | 11.61 | 2 hrs 4 mins |
| 14 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,004,662 | 93,097 | 10.79 | 2 hrs 13 mins |
| 15 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 891,379 | 89,626 | 9.95 | 2 hrs 25 mins |
| 16 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 749,637 | 84,093 | 8.91 | 2 hrs 42 mins |
| 17 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 705,870 | 82,821 | 8.52 | 2 hrs 49 mins |
| 18 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 556,815 | 76,512 | 7.28 | 3 hrs 18 mins |
| 19 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 539,773 | 76,218 | 7.08 | 3 hrs 23 mins |
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| 20 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 245,509 | 57,922 | 4.24 | 5 hrs 40 mins |
| 21 | GeForce GTX 660 Ti GK104 [GeForce GTX 660 Ti] 2634 |
Nvidia | GK104 | 241,041 | 58,129 | 4.15 | 5 hrs 47 mins |
| 22 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 152,391 | 49,627 | 3.07 | 7 hrs 49 mins |
| 23 | GeForce GT 1030 GP108 [GeForce GT 1030] 1127 |
Nvidia | GP108 | 140,813 | 48,331 | 2.91 | 8 hrs 14 mins |
| 24 | GeForce GTX 750 GM107 [GeForce GTX 750] 1111 |
Nvidia | GM107 | 127,833 | 46,901 | 2.73 | 8 hrs 48 mins |
| 25 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 21,289 | 23,310 | 0.91 | 26 hrs 17 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:34:56|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|