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Research: HALOGENASES Folding Project #19211

Project #19211 overview

Project Summary AI Beta

Many drugs use halogens (like fluorine). Adding these is tricky! Enzymes called halogenases do it naturally, and really well. This project uses computer models to predict how halogenases add halogens to different molecules, helping us design better drugs.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Tanner Dean
Institution
University of Illinois

Work unit

Atoms
92,775
Core
0xa8
Status
Public
Source material

Official Project Description

Approximately 40 percent of drugs approved or currently in clinical testing contain halogens (F, Cl, Br, or I) as pharmaceutically active ligand substituents.

This makes the halogenation of chemical scaffolds an issue of particular interest to medicinal chemists when attempting to synthesize potential drug candidates.

Many of the current methods for halogenation are difficult to control the regioselectivity or produce toxic byproducts during the reaction.

Due to these issues; halogenases, a class of enzymes that catalyze highly regioselective halogenation of various molecules in nature, have been studied as a means to improve existing halogenation methods with less toxic byproducts and higher regioselectivity of reaction.

By utilizing Relative Binding Free Energy calculations (RBFE) across a number of common organic molecule scaffolds, our goal is to better predict the probability and site of halogenation for various common chemical scaffolds across a number of halogenases.

Performance data

Hardware Performance for Project 19211

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

Data as of Sunday, 02 August 2026 21:49:26

CPU PPD Averages Beta

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 13TH GEN CORE I9-13900KS 32 29,919 957,408 Intel
2 13TH GEN CORE I5-13600K 14 67,831 949,634 Intel
3 RYZEN 7 7700X 8-CORE 16 34,092 545,472 AMD
4 12TH GEN CORE I9-12900K 24 22,235 533,640 Intel
5 RYZEN 7 5800X3D 8-CORE 16 32,608 521,728 AMD
6 RYZEN 9 7950X 16-CORE 32 15,310 489,920 AMD
7 RYZEN 7 5700X 8-CORE 16 27,829 445,264 AMD
8 RYZEN 9 5950X 16-CORE 32 12,540 401,280 AMD
9 CORE I9-10900X CPU @ 3.70GHZ 20 16,405 328,100 Intel
10 11TH GEN CORE I9-11900K @ 3.50GHZ 16 14,949 239,184 Intel
11 RYZEN 5 5600X 6-CORE 12 19,140 229,680 AMD
12 RYZEN 5 3600 6-CORE 12 15,723 188,676 AMD
13 12TH GEN CORE I3-12100F 8 17,988 143,904 Intel
14 RYZEN 7 5700G 16 8,428 134,848 AMD
15 EPYC 7262 8-CORE 16 7,992 127,872 AMD
16 XEON CPU E5-2680 0 @ 2.70GHZ 16 4,972 79,552 Intel
17 CORE I5-4690 CPU @ 3.50GHZ 4 12,693 50,772 Intel
18 CORE I5-6600K CPU @ 3.50GHZ 4 9,304 37,216 Intel
19 CORE I3-6006U CPU @ 2.00GHZ 4 2,283 9,132 Intel
20 XEON CPU @ 2.20GHZ 1 4,100 4,100 Intel