RESEARCH: ANTIBODY-AFFINITY-MATURATION
FOLDING PROJECT #18272 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 80,288Core: 0x27
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project uses computer simulations to understand how antibodies become better at fighting viruses like HIV. Scientists will track the changes in antibodies over time, looking at both their variable and constant regions. The goal is to learn how antibodies develop high-affinity for their targets, which can help create more effective antibody drugs and vaccines.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
In their response to antigens, antibodies undergo a process called affinity maturation where they pick up mutations that help increase their affinity for the antigen.
This is an integral part of the humoral immune response.
There are tools to decode what these mutations are, but the role of these mutations in influencing antibody dynamics remains largely unclear.
Understanding how antibody dynamics change throughout the course of affinity maturation would help in designing highly specific antibody therapeutics and vaccine immunogens.
This project aims to simulate a range of antibody affinity maturation pathways.
We have multiple lineages we would like to track.
These are all lineages that have led to potent antibodies and have published structures available.
For each lineage, we are simulating a naïve antibody and a mature antibody.
Similar studies conducted in the past have used short
simulations and have simulated only the variable regions of the proteins.
Here, we will generate large simulation datasets that include the constant regions as well as the variable regions, giving us a more accurate glimpse into antibody dynamics.
Our hope is that these simulations will uncover the dynamics that are responsible for highly specific and potent antibodies, helping to improve antibody design in the future.
p18265 – PGT121 lineage, naïve antibody.
The PGT121 lineage antibodies
are broadly neutralizing antibodies that bind to the V3-glycan epitope on
the HIV envelope protein gp120.
p18266 – PGT121 lineage, mature antibody.
The PGT121 lineage antibodies
are broadly neutralizing antibodies that bind to the V3-glycan epitope on
the HIV envelope protein gp120.
p18267 – CAP256-VRC26 lineage, naïve antibody.
The CAP256-VRC26
lineage antibodies are broadly neutralizing antibodies that bind to the V2-
apex epitope on the HIV envelope protein gp120.
p18268 – CAP256-VRC26, mature antibody.
The CAP256-VRC26 lineage
antibodies are broadly neutralizing antibodies that bind to the V2-apex
epitope on the HIV envelope protein gp120.
p18569 – CH65-CH67 lineage, naïve antibody.
The CH65-CH67 lineage
antibodies bind to the receptor binding site on the influenza hemagglutinin
protein.
p18270 – CH65-CH67 lineage, mature antibody.
The CH65-CH67 lineage
antibodies bind to the receptor binding site on the influenza hemagglutinin
protein.
p18271 – CH103 lineage, naïve antibody.
The CH103 lineage antibodies are
broadly neutralizing antibodies that bind to the CD4 binding site epitope on
the HIV envelope protein gp120.
p18272 – CH103 lineage, mature antibody.
The CH103 lineage antibodies
are broadly neutralizing antibodies that bind to the CD4 binding site epitope
on the HIV envelope protein gp120.
p18273 – 1-18 lineage, naïve antibody.
The 1-18 lineage antibodies bind to
the CD4 binding site on the HIV envelope protein gp120.
p18274 – 1-18 lineage, mature antibody.
The 1-18 lineage antibodies are
broadly neutralizing antibodies that bind to the CD4 binding site on the HIV
envelope protein gp120.
RELATED TERMS GLOSSARY AI BETA
Antibody
A protein produced by the immune system to neutralize pathogens.
Antibodies are specialized proteins created by our immune system to fight off harmful invaders like bacteria and viruses. They work by recognizing and attaching to specific parts of these invaders, marking them for destruction.
Affinity Maturation
The process by which antibodies increase their binding affinity to an antigen over time.
Affinity maturation is a key process in the immune system where antibodies become better and better at recognizing and attaching to specific invaders (antigens). This happens through mutations that refine the antibody's shape, allowing it to bind more tightly.
Antigen
A molecule that triggers an immune response.
Antigens are essentially the 'enemy' signals that our immune system recognizes. They can be parts of bacteria, viruses, or even our own cells when they become abnormal. The immune system uses antigens to identify and target harmful invaders.
HIV
Human Immunodeficiency Virus
HIV is a virus that attacks the body's immune system, specifically the cells that help fight off infections. If left untreated, HIV can lead to AIDS (Acquired Immunodeficiency Syndrome).
gp120
Glycoprotein 120
gp120 is a protein found on the surface of the HIV virus. It plays a crucial role in allowing the virus to attach to and enter human cells.
Broadly Neutralizing Antibodies
Antibodies that can neutralize a wide range of different strains of a virus.
Broadly neutralizing antibodies are like super-powered antibodies that can fight off many different versions of a virus. This is particularly important for viruses like HIV, which mutate rapidly and develop resistance to standard treatments.
V3-glycan Epitope
A specific region on the HIV envelope protein gp120 that is recognized by certain antibodies.
The V3-glycan epitope is a vulnerable spot on the surface of the HIV virus. Some antibodies specifically target this site to block the virus from entering human cells.
V2-apex Epitope
A specific region on the HIV envelope protein gp120 that is recognized by certain antibodies.
The V2-apex epitope is another vulnerable spot on the surface of the HIV virus. Some antibodies specifically target this site to block the virus from entering human cells.
Lineage
A group of related antibodies that share a common ancestor.
In antibody research, a lineage refers to a family of similar antibodies that evolved from a single original antibody. Tracking these lineages helps scientists understand how antibodies change and improve over time.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:30:44|
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 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 10,192,109 | 41,050 | 248.29 | 0 hrs 6 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 10,139,897 | 239,846 | 42.28 | 0 hrs 34 mins |
| 3 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,376,997 | 171,115 | 54.80 | 0 hrs 26 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 8,844,665 | 41,050 | 215.46 | 0 hrs 7 mins |
| 5 | Instinct MI300X Aqua Vanjaram [Instinct MI300X] |
AMD | Aqua Vanjaram | 8,330,355 | 41,050 | 202.93 | 0 hrs 7 mins |
| 6 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 7,185,789 | 43,613 | 164.76 | 0 hrs 9 mins |
| 7 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,848,438 | 130,842 | 52.34 | 0 hrs 28 mins |
| 8 | Tesla V100 PCIe 16GB GV100GL [Tesla V100 PCIe 16GB] M 14028 |
Nvidia | GV100GL | 6,287,082 | 41,050 | 153.16 | 0 hrs 9 mins |
| 9 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,150,217 | 96,448 | 63.77 | 0 hrs 23 mins |
| 10 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,078,350 | 41,050 | 148.07 | 0 hrs 10 mins |
| 11 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,897,165 | 52,429 | 112.48 | 0 hrs 13 mins |
| 12 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 5,877,567 | 41,050 | 143.18 | 0 hrs 10 mins |
| 13 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,719,728 | 48,984 | 116.77 | 0 hrs 12 mins |
| 14 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 4,491,153 | 41,050 | 109.41 | 0 hrs 13 mins |
| 15 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,149,858 | 41,050 | 101.09 | 0 hrs 14 mins |
| 16 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,760,997 | 41,050 | 91.62 | 0 hrs 16 mins |
| 17 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,714,770 | 44,974 | 82.60 | 0 hrs 17 mins |
| 18 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 3,668,957 | 41,050 | 89.38 | 0 hrs 16 mins |
| 19 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,635,221 | 119,306 | 30.47 | 0 hrs 47 mins |
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|
|||||||
| 20 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,629,069 | 41,050 | 88.41 | 0 hrs 16 mins |
| 21 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,618,341 | 41,050 | 88.14 | 0 hrs 16 mins |
| 22 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,571,764 | 49,012 | 72.88 | 0 hrs 20 mins |
| 23 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 3,500,766 | 150,647 | 23.24 | 1 hrs 2 mins |
| 24 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 3,308,343 | 105,265 | 31.43 | 0 hrs 46 mins |
| 25 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 3,127,341 | 41,050 | 76.18 | 0 hrs 19 mins |
| 26 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,092,841 | 86,020 | 35.95 | 0 hrs 40 mins |
| 27 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,825,665 | 41,050 | 68.83 | 0 hrs 21 mins |
| 28 | Intel Arc B580 Graphics Battlemage G21 [Intel Arc B580 Graphics] |
Intel | Battlemage G21 | 2,796,218 | 57,150 | 48.93 | 0 hrs 29 mins |
| 29 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,714,445 | 41,050 | 66.13 | 0 hrs 22 mins |
| 30 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,612,492 | 232,936 | 11.22 | 2 hrs 8 mins |
| 31 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,593,110 | 41,050 | 63.17 | 0 hrs 23 mins |
| 32 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,587,501 | 41,494 | 62.36 | 0 hrs 23 mins |
| 33 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,546,429 | 41,050 | 62.03 | 0 hrs 23 mins |
| 34 | P102-100 GP102 [P102-100] |
Nvidia | GP102 | 2,542,932 | 41,050 | 61.95 | 0 hrs 23 mins |
| 35 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,533,198 | 41,050 | 61.71 | 0 hrs 23 mins |
| 36 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,478,829 | 170,002 | 14.58 | 1 hrs 39 mins |
| 37 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,442,591 | 212,745 | 11.48 | 2 hrs 5 mins |
| 38 | Radeon 8050S/8060S Strix Halo [Radeon 8050S/8060S] |
AMD | Strix Halo | 2,400,719 | 41,050 | 58.48 | 0 hrs 25 mins |
| 39 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,370,112 | 41,050 | 57.74 | 0 hrs 25 mins |
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|
|||||||
| 40 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,353,935 | 183,949 | 12.80 | 1 hrs 53 mins |
| 41 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 2,270,965 | 41,050 | 55.32 | 0 hrs 26 mins |
| 42 | Tesla P40 GP102GL [Tesla P40] 11760 |
Nvidia | GP102GL | 2,077,349 | 41,050 | 50.61 | 0 hrs 28 mins |
| 43 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 2,022,076 | 41,050 | 49.26 | 0 hrs 29 mins |
| 44 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,933,229 | 161,114 | 12.00 | 2 hrs 0 mins |
| 45 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,830,783 | 41,050 | 44.60 | 0 hrs 32 mins |
| 46 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 1,828,003 | 41,050 | 44.53 | 0 hrs 32 mins |
| 47 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 1,818,317 | 41,050 | 44.30 | 0 hrs 33 mins |
| 48 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,730,575 | 41,050 | 42.16 | 0 hrs 34 mins |
| 49 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,673,993 | 41,050 | 40.78 | 0 hrs 35 mins |
| 50 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,606,238 | 41,050 | 39.13 | 0 hrs 37 mins |
| 51 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,527,624 | 212,056 | 7.20 | 3 hrs 20 mins |
| 52 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,418,004 | 41,050 | 34.54 | 0 hrs 42 mins |
| 53 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,417,253 | 56,716 | 24.99 | 0 hrs 58 mins |
| 54 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,414,888 | 45,381 | 31.18 | 0 hrs 46 mins |
| 55 | Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT] |
AMD | Navi 23 | 1,401,291 | 41,050 | 34.14 | 0 hrs 42 mins |
| 56 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,360,898 | 185,099 | 7.35 | 3 hrs 16 mins |
| 57 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,289,569 | 41,050 | 31.41 | 0 hrs 46 mins |
| 58 | Quadro P2000 GP106GL [Quadro P2000] [MED-XN71] 3935 |
Nvidia | GP106GL | 1,284,570 | 41,050 | 31.29 | 0 hrs 46 mins |
| 59 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 1,227,590 | 110,816 | 11.08 | 2 hrs 10 mins |
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|||||||
| 60 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,001,901 | 189,775 | 5.28 | 4 hrs 33 mins |
| 61 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 957,664 | 41,050 | 23.33 | 1 hrs 2 mins |
| 62 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 953,147 | 41,050 | 23.22 | 1 hrs 2 mins |
| 63 | RX 5600 OEM/5600XT/5700(XT) Navi 10 [RX 5600 OEM/5600XT/5700(XT)] |
AMD | Navi 10 | 938,902 | 41,050 | 22.87 | 1 hrs 3 mins |
| 64 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 783,209 | 169,229 | 4.63 | 5 hrs 11 mins |
| 65 | Radeon RX Vega 56/64 Vega 10 XL/XT [Radeon RX Vega 56/64] |
AMD | Vega 10 XL/XT | 659,552 | 41,050 | 16.07 | 1 hrs 30 mins |
| 66 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 644,603 | 92,947 | 6.94 | 3 hrs 28 mins |
| 67 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 591,400 | 41,050 | 14.41 | 1 hrs 40 mins |
| 68 | Radeon 760M/780M Phoenix/Hawk Point [Radeon 760M/780M] |
AMD | Phoenix/Hawk Point | 560,850 | 41,050 | 13.66 | 1 hrs 45 mins |
| 69 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 523,050 | 41,050 | 12.74 | 1 hrs 53 mins |
| 70 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 393,516 | 130,564 | 3.01 | 7 hrs 58 mins |
| 71 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 364,046 | 132,798 | 2.74 | 8 hrs 45 mins |
| 72 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 346,563 | 41,050 | 8.44 | 2 hrs 51 mins |
| 73 | GeForce GTX 980M GM204 [GeForce GTX 980M] 3189 |
Nvidia | GM204 | 333,216 | 41,050 | 8.12 | 2 hrs 57 mins |
| 74 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 292,349 | 41,050 | 7.12 | 3 hrs 22 mins |
| 75 | Radeon RX 6400/6500XT Navi 24 [Radeon RX 6400/6500XT] |
AMD | Navi 24 | 269,781 | 119,090 | 2.27 | 10 hrs 36 mins |
| 76 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 228,848 | 112,684 | 2.03 | 11 hrs 49 mins |
| 77 | Quadro T400 Mobile TU117GLM [Quadro T400 Mobile] |
Nvidia | TU117GLM | 210,920 | 41,050 | 5.14 | 4 hrs 40 mins |
| 78 | GeForce RTX 3050 6GB Laptop GPU GN20-P0-R-K2 [GeForce RTX 3050 6GB Laptop GPU] |
Nvidia | GN20-P0-R-K2 | 199,176 | 41,050 | 4.85 | 4 hrs 57 mins |
| 79 | Radeon 740M/760M/780M Phoenix [Radeon 740M/760M/780M] |
AMD | Phoenix | 175,482 | 41,050 | 4.27 | 5 hrs 37 mins |
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|||||||
| 80 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 59,551 | 42,849 | 1.39 | 17 hrs 16 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 03:30:44|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|