RESEARCH: HALOGENASE-REGIOSELECTIVITY-PREDICTION
FOLDING PROJECT #19228 PROFILE
PROJECT TEAM
Manager(s): Tanner DeanInstitution: University of Illinois
WORK UNIT INFO
Atoms: 94,582Core: 0xa8
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Many drugs use halogens (like fluorine). Adding halogens to molecules can be tricky for chemists. Scientists are studying enzymes called halogenases which add halogens more precisely and safely. This project uses computer simulations to predict where halogenases will attach halogens on different types of molecules.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL 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.
RELATED TERMS GLOSSARY AI BETA
halogen
Elements fluorine (F), chlorine (Cl), bromine (Br), or iodine (I)
Halogens are a group of elements found in the periodic table that are highly reactive. They are often used in pharmaceuticals to modify the properties of drugs and improve their effectiveness. In drug discovery, understanding how halogens interact with molecules is crucial for designing new medications.
ligand
Molecule that binds to a protein or receptor
In pharmacology, a ligand is a molecule that attaches to a specific target site on a protein, often called a receptor. This binding can trigger various cellular responses, such as activating or inhibiting the protein's function. Ligands are essential for many biological processes and are commonly targeted by drugs to exert their therapeutic effects.
medicinal chemist
Scientist who designs and synthesizes new drugs
Medicinal chemists are scientists specializing in the design, synthesis, and development of new pharmaceutical compounds. They combine knowledge of chemistry, biology, and pharmacology to create molecules that can effectively treat diseases. Their work is crucial for bringing new drugs to market and improving patient care.
regioselective
Directing a reaction to occur at a specific location on a molecule
Regioselective reactions are chemical processes that preferentially form products with a specific arrangement of substituents on a molecule. This selectivity is crucial in organic synthesis as it allows for the precise control of molecular structure, leading to the desired product and minimizing unwanted byproducts.
halogenase
Enzyme that catalyzes halogenation reactions
Halogenases are enzymes that play a vital role in various biological processes by catalyzing the addition of halogens to organic molecules. These enzymes exhibit high regioselectivity, enabling them to introduce halogens at specific sites on their substrates. Halogenases have significant implications in drug discovery and biotechnology due to their ability to modify chemical structures with precision.
Relative Binding Free Energy (RBFE)
A computational method to predict the binding affinity of a molecule to a protein
RBFE calculations are a powerful tool in drug discovery that allows researchers to predict how well a molecule will bind to its target protein. By analyzing the energy changes associated with the binding process, RBFE can provide insights into the strength and specificity of molecular interactions. This information is crucial for optimizing drug candidates and identifying promising lead compounds.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 03:25:42|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|