Exploring the binding potential of natural compounds to carbonic anhydrase of cyanobacteria through computer-based simulations

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Vydáno v:SN Applied Sciences vol. 7, no. 3 (Mar 2025), p. 206
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Springer Nature B.V.
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022 |a 2523-3963 
022 |a 2523-3971 
024 7 |a 10.1007/s42452-025-06492-6  |2 doi 
035 |a 3174612205 
045 2 |b d20250301  |b d20250331 
245 1 |a Exploring the binding potential of natural compounds to carbonic anhydrase of cyanobacteria through computer-based simulations 
260 |b Springer Nature B.V.  |c Mar 2025 
513 |a Journal Article 
520 3 |a Cyanobacteria in water bodies cause harmful cyanobacterial blooms, releasing toxins that degrade water quality and cause health issues. Common Harmful Algal Bloom-related disorders (HABs) include neurotoxic shellfish poisoning, ciguatera poisoning, paralytic shellfish poisoning, diarrhetic shellfish poisoning, and amnesic shellfish poisoning. Adapting to high temperatures and humidity, cyanobacteria also colonize historical sites, causing staining erosion, and reducing their aesthetic value. In this context, we have chosen carbonic anhydrase which plays an essential role in the interconversion of water and carbon dioxide to bicarbonates and makes it available to RuBisCo that regulates the photosynthetic pathways leading to cyanobacterial biomass generation. This study employed the molecular modeling approach to identify the potential natural inhibitors to carbonic anhydrase from the COCONUT database. Strategically we explore the Structural-Activity Relationship (SAR) of natural compounds to the reported sulphonamide inhibitors. Further, prediction-based online web servers such as pkCSM and SwissADME were used to determine the ADMET properties of the SAR molecules. An FDA-approved compound, Ethoxzolamide was chosen for comparative analysis. Next, the In-silico methodologies such as molecular docking and molecular dynamic simulations, free energy landscape analysis, hydrogen bond analysis, and binding free energy calculations were performed using various algorithms under virtual physiological conditions to identify potential SAR molecules against carbonic anhydrase. Further, we perform molecular dynamic simulation for a time period of 100&#xa0;ns. It was evidenced from the molecular dynamic simulations and MM-PBSA calculations that some natural compounds outperform the Ethoxzolamide compound not only in stability but also in binding affinity. This study delves into the intricate interactions of natural compounds with the cyanobacteria carbonic anhydrase which plays a pivotal role in growth and development. Hence, we believe that our models could show extreme effectivity and might act as potent bio-algaecides.Article Highlights<list list-type="bullet"><list-item></list-item>The utilization of the COCONUT database, an open-source repository of natural products, provides a vast and diverse chemical space to explore potential drug candidates.<list-item>The integration of in-silico techniques, such as molecular docking and molecular dynamics simulations, offers a rapid and cost-effective approach to identify promising compounds.</list-item><list-item>By targeting carbonic anhydrase, a key enzyme in cyanobacterial CO2 fixation, this research aims to develop novel inhibitors that can effectively reduce biomass generation.</list-item> 
653 |a Ribulose-bisphosphate carboxylase 
653 |a Databases 
653 |a Algicides 
653 |a Carbon dioxide fixation 
653 |a Paralytic shellfish poisoning 
653 |a Shellfish 
653 |a Binding 
653 |a Biomass 
653 |a Sulfonamides 
653 |a Bicarbonates 
653 |a Herbicides 
653 |a Metabolism 
653 |a Cyanobacteria 
653 |a Carbon dioxide 
653 |a Neurotoxicity 
653 |a Drug development 
653 |a Algae 
653 |a Proteins 
653 |a Water quality 
653 |a Simulation 
653 |a Poisoning 
653 |a Molecular docking 
653 |a Historic sites 
653 |a Protein kinase C 
653 |a Ciguatera 
653 |a Free energy 
653 |a Algorithms 
653 |a Ligands 
653 |a High temperature 
653 |a Molecular dynamics 
653 |a Enzymes 
653 |a Natural products 
653 |a Carbonic anhydrase 
653 |a Software 
653 |a Comparative analysis 
653 |a Toxicity 
653 |a Amnesic shellfish poisoning 
653 |a Amino acids 
653 |a Molecular modelling 
653 |a Diarrhetic shellfish poisoning 
653 |a Carbonic anhydrases 
653 |a Hydrogen bonds 
653 |a Inhibitors 
653 |a Toxins 
653 |a Historic buildings & sites 
653 |a Environmental 
773 0 |t SN Applied Sciences  |g vol. 7, no. 3 (Mar 2025), p. 206 
786 0 |d ProQuest  |t Science Database 
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