Halogen Bonds and Drug Discovery


Halogen chemistry has been exploited by medicinal chemists for nearly 70 years. To date, halogens were regarded useful for optimization of so-called ADMET properties (the acronym stands for absorption, distribution, metabolism, excretion, toxicity) – they improve oral absorption and facilitate crossing biological barriers by prospective drugs, they are useful for filling small hydrophobic cavities present in many protein targets, and they prolong lifetime of the drug. In short: They make compounds of interest more drug-like. However, direct interactions mediated by halogen atoms have been much ignored in pre-clinical drug development.

Recently, scientists working in quantum chemistry and structure-based drug design, have developed a new tool for the usage of halogen bonds for computational medicinal chemistry and drug discovery applications. The study was led by Doctor Agnieszka Bronowska from HITS and conducted in cooperation with scientists from the Czech Academy of Sciences.

Most halogens - except fluorine - have unique properties which allow them to stabilize direct interaction between prospective drugs and their protein targets. These properties are of quantum-chemical origin; namely, the anisotropy of charge distribution around the halogen atom, when it is bound to an electron-withdrawing substrate. Unexpectedly, despite of being negatively charged, halogens have regions which remain positively charged (Figure 1, left panel). These regions, called sigma-holes, are responsible for the directional and stabilizing character of halogen bonding with other electronegative atoms, such as oxygen or nitrogen.

Overlooking sigma-holes leads to errors in predictions of structure and energetics of drug-protein complexes and thus to failure in drug development.

By approximating the positively charged sigma-hole with a massless, charged pseudo-atom (denoted as explicit sigma-hole or ESH), Bronowska and her colleagues incorporated a quantum-chemical effect into faster (and much less accurate) computational methods applicable to structure-based drug design. “We tested nearly a hundred complexes between medicinally relevant proteins and halogenated molecules”, Bronowska says. “The results showed significant improvement in the description of such complexes upon introduction of ESH.”

COMPAMED.de; Source: Heidelberg Institute for Theoretical Studies (HITS)