Research section Research projects and references

Research: HALOGENASES Folding Project #19204

Project #19204 overview

Project Summary AI Beta

Many drugs use halogens (like fluorine or chlorine). Adding these can be tricky because it's hard to control where they go. The project relates to using computer models to predict how well different enzymes can add halogens to molecules in a controlled way, helping scientists design safer and more effective drugs.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Tanner Dean
Institution
University of Illinois

Work unit

Atoms
4,834
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 19204

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

Data as of Sunday, 02 August 2026 21:49:33

CPU PPD Averages Beta

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 CORE I9-10900X CPU @ 3.70GHZ 20 10,116 202,320 Intel