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Published on: February 14, 2018
Predicting the Antifungal Activity of Small Organic Compounds on Aspergillus niger Mold using Molecular Dynamics
Souvik Chakraborty1, Jia Min Phang1, Shikhar Gupta2
1Agency for Science, Technology and Research (A*STAR), Institute of High Performance Computing (IHPC), 1 Fusionopolis Way, #16-16, Connexis, Singapore138632, Singapore.
Abstract:
Atomistic models of the plasma membrane of the pathogenic mold Aspergillus niger are developed. These models are described with an empirical molecular mechanical (MM) force field in combination with molecular dynamics (MD) simulations. The solvated plasma membrane models are brought into contact with 35 small organic compounds to observe their impact on a variety of membrane properties. All compounds are added at a constant total mass of 1% of the membrane mass. In addition, the ability of these compounds to inhibit the pathogenic cell growth of mold has been measured. Diffusion of compounds into the membrane model is readily observed during MD simulations. Changes in membrane properties found in simulations are not found to correlate with measured antifungal activities of compounds, suggesting that MD simulations of up to 1 μs are not sufficiently long to adequately describe compound-induced membrane disruption. However, properties related to the position and orientation of compounds relative to the membrane surface as well as hydrogen bonds formed between the compounds and the membrane show clear trends that correlate well with measured activities. A combination of these properties enables an activity prediction of compounds in good agreement with measurements. Activity is found predominantly for compounds that can be decomposed into a single continuous hydrophobic and hydrophilic moiety. Such active compounds can be energetically inserted most favorably into the membrane. These insertions destabilize the membrane by disrupting the internal membrane hydrogen bond network and by sliding between neighboring lipids, thereby separating them.
Insights
Atomistic models of Aspergillus niger membranes reveal how organic compounds interact at a molecular level. Compound positioning and hydrogen bonding, not overall membrane disruption, predict antifungal activity against this mold.
Area of Science:
- Biophysics
- Computational Biology
- Mycology
Background:
- The pathogenic mold *Aspergillus niger* poses a significant threat to agriculture and human health.
- Understanding the molecular interactions between antifungal compounds and fungal membranes is crucial for developing effective treatments.
Purpose of the Study:
- To develop atomistic models of the *Aspergillus niger* plasma membrane.
- To investigate the impact of small organic compounds on membrane properties and their correlation with antifungal activity.
Main Methods:
- Empirical molecular mechanical (MM) force fields and molecular dynamics (MD) simulations were employed.
- 35 small organic compounds were introduced to the membrane models at 1% mass concentration.
- Antifungal activity of compounds against *A. niger* was experimentally measured.
Main Results:
- Compound diffusion into the membrane was observed, but changes in bulk membrane properties did not correlate with antifungal activity.
- Compound position, orientation, and hydrogen bonding with the membrane strongly correlated with measured activities.
- Compounds with distinct hydrophobic and hydrophilic moieties showed higher activity and favorable membrane insertion.
Conclusions:
- MD simulations up to 1 μs may not capture compound-induced membrane disruption but can predict activity based on interfacial properties.
- Favorable insertion and disruption of membrane hydrogen bonds by active compounds destabilize the fungal plasma membrane.
- Predictive models combining compound-membrane interactions show good agreement with experimental antifungal activity.

