RESEARCH: LOGP
FOLDING PROJECT #18465 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 21,086
Core: 0xa8
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Scientists are using computer simulations to predict how well drugs dissolve in water and fat. This is important because the way a drug dissolves affects how well it works in the body. The project relates to predicting how likely a drug molecule is to be found in water versus oil, which helps determine its ability to move through different parts of the body.

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

OFFICAL PROJECT DESCRIPTION

A key challenge in computational drug discovery is developing and testing methods to predict experimental partition coefficients for the relative solubility of organic molecules in aquoeus vs/ non-polar media.

The logarithm of the partition coeffient, logP, is an important predictor of lipophilicity, which dictates the bioavailability of drugs.

These CPU projects are expanded-ensemble (EE) simulations designed to predict water/toluene partition coefficients of small-molecule drugs as part of the recent SAMPL9 logP challenge.

RELATED TERMS GLOSSARY AI BETA

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

partition coefficient

A measure of a substance's solubility in two immiscible solvents.

Technical: Pharmaceutical
Drug Discovery / Computational Chemistry

The partition coefficient describes how much of a substance dissolves in one solvent compared to another. It's crucial for understanding how drugs interact with the body because it influences how easily they cross cell membranes and reach their target sites. In drug development, scientists use partition coefficients to predict a drug's effectiveness and potential side effects.


logP

Logarithm of the partition coefficient

Acronym: Pharmaceutical
Drug Discovery / Pharmacokinetics

logP is a shortened way to write 'logarithm of the partition coefficient'. It's a key measure used in drug development to predict how well a drug will dissolve in fat versus water. A higher logP value means a drug is more likely to dissolve in fat, which can influence its ability to pass through cell membranes and reach its target.


lipophilicity

The ability of a molecule to dissolve in fats and oils.

Technical: Pharmaceutical
Drug Discovery / Pharmacokinetics

Lipophilicity refers to how well a substance dissolves in fats. It's a critical factor in drug development because it affects how easily a drug can pass through cell membranes and reach its target. Drugs with high lipophilicity tend to be more readily absorbed into the bloodstream, while those with low lipophilicity may have difficulty entering cells.


bioavailability

The proportion of a drug that reaches the bloodstream and exerts its effects.

Technical: Pharmaceutical
Drug Discovery / Pharmacokinetics

Bioavailability is a measure of how much of a drug actually reaches the bloodstream and becomes available to work. Factors like lipophilicity, absorption rate, and metabolism can influence bioavailability. A high bioavailability means more of the drug is able to reach its target site, leading to greater effectiveness.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:42
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:42
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 9 7900X 12-CORE 24 39,561 949,464 AMD
2 13TH GEN CORE I9-13900KS 32 29,084 930,688 Intel
3 RYZEN 9 7900 12-CORE 24 26,831 643,944 AMD
4 RYZEN 7 7700X 8-CORE 16 38,466 615,456 AMD
5 RYZEN 9 5950X 16-CORE 32 14,216 454,912 AMD
6 RYZEN 7 5700X 8-CORE 16 26,392 422,272 AMD
7 CORE I9-10900K CPU @ 3.70GHZ 20 19,873 397,460 Intel
8 11TH GEN CORE I7-11700K @ 3.60GHZ 16 23,959 383,344 Intel
9 RYZEN 7 5700G 16 23,439 375,024 AMD
10 RYZEN 7 5800X3D 8-CORE 16 23,366 373,856 AMD
11 RYZEN 9 5900X 12-CORE 24 13,952 334,848 AMD
12 RYZEN 7 5800X 8-CORE 16 19,583 313,328 AMD
13 RYZEN 7 3800X 8-CORE 16 19,562 312,992 AMD
14 12TH GEN CORE I5-12600K 16 18,959 303,344 Intel
15 CORE I7-10700K CPU @ 3.80GHZ 16 18,302 292,832 Intel
16 RYZEN 9 3900X 12-CORE 24 11,571 277,704 AMD
17 RYZEN THREADRIPPER 2950X 16-CORE 32 8,631 276,192 AMD
18 GENUINE 0000 @ 1.80GHZ 16 17,238 275,808 Intel
19 12TH GEN CORE I7-12700 20 12,909 258,180 Intel
20 RYZEN 5 5600X 6-CORE 12 19,850 238,200 AMD
21 RYZEN 7 3700X 8-CORE 16 14,533 232,528 AMD
22 CORE I7-9700K CPU @ 3.60GHZ 8 27,288 218,304 Intel
23 11TH GEN CORE I9-11900K @ 3.50GHZ 16 13,642 218,272 Intel
24 CORE I9-9900K CPU @ 3.60GHZ 16 11,828 189,248 Intel
25 RYZEN 7 PRO 4750G 16 11,601 185,616 AMD
26 RYZEN 5 3600 6-CORE 12 15,256 183,072 AMD
27 CORE I7-6950X CPU @ 3.00GHZ 20 9,097 181,940 Intel
28 CORE I9-7940X CPU @ 3.10GHZ 28 6,410 179,480 Intel
29 RYZEN 5 3500 6-CORE 6 29,076 174,456 AMD
30 CORE I7-5930K CPU @ 3.50GHZ 12 10,680 128,160 Intel
31 RYZEN 5 1600 SIX-CORE 12 10,398 124,776 AMD
32 CORE I7-7700K CPU @ 4.20GHZ 8 15,361 122,888 Intel
33 12TH GEN CORE I9-12900H 20 6,107 122,140 Intel
34 CORE I7-5820K CPU @ 3.30GHZ 12 9,433 113,196 Intel
35 RYZEN 7 1700 EIGHT-CORE 16 6,563 105,008 AMD
36 12TH GEN CORE I7-12700H 20 5,125 102,500 Intel
37 CORE I7-10700T CPU @ 2.00GHZ 16 6,360 101,760 Intel
38 11TH GEN CORE I7-11800H @ 2.30GHZ 16 5,746 91,936 Intel
39 CORE I9-8950HK CPU @ 2.90GHZ 12 7,622 91,464 Intel
40 CORE I7-8705G CPU @ 3.10GHZ 8 10,900 87,200 Intel
41 CORE I7-6700T CPU @ 2.80GHZ 8 10,389 83,112 Intel
42 CORE I3-10100F CPU @ 3.60GHZ 8 10,137 81,096 Intel
43 CORE I7-8700 CPU @ 3.20GHZ 12 6,117 73,404 Intel
44 APPLE M1 8 8,373 66,984 Apple
45 CORE I7-6700K CPU @ 4.00GHZ 8 8,206 65,648 Intel
46 CORE I7-4770HQ CPU @ 2.20GHZ 8 8,136 65,088 Intel
47 CORE I7-4770 CPU @ 3.40GHZ 8 7,837 62,696 Intel
48 CORE I7-3770K CPU @ 3.50GHZ 8 7,510 60,080 Intel
49 RYZEN 5 2400G 8 7,187 57,496 AMD
50 CORE I5-4590 CPU @ 3.30GHZ 4 11,135 44,540 Intel
51 RYZEN 5 5500U 12 3,684 44,208 AMD
52 APPLE M1 PRO 10 4,103 41,030 Apple
53 11TH GEN CORE I7-11375H @ 3.30GHZ 8 3,884 31,072 Intel
54 XEON CPU E5-2697 V2 @ 2.70GHZ 24 1,270 30,480 Intel
55 CORE I5-10210U CPU @ 1.60GHZ 7 3,283 22,981 Intel
56 CORE I7-7700HQ CPU @ 2.80GHZ 8 2,503 20,024 Intel
57 CORE I3-3220 CPU @ 3.30GHZ 4 4,759 19,036 Intel
58 CORE I5-3210M CPU @ 2.50GHZ 4 4,353 17,412 Intel
59 CORE I3-3110M CPU @ 2.40GHZ 4 3,103 12,412 Intel
60 CORE I3-6006U CPU @ 2.00GHZ 4 3,077 12,308 Intel
61 FX-4300 QUAD-CORE 4 739 2,956 AMD