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Computational model for lipid binding regions in phospholipase (Ves a 1) from Vespa venom.

ABSTRACT: The Thai banded tiger wasp (Vespa affinis) is a dangerous vespid species found in Southeast Asia, and its stings often result in fatalities due to the presence of lethal phospholipase A[Formula: see text], known as Vespapase or Ves a 1. Developing anti-venoms for Ves a 1 using chemical drugs, such as chemical drug guide, remains a challenging task. In this study, we screened 2056 drugs against the opening conformation of the venom using the ZINC 15 and e-Drug 3D databases. The binding free energy of the top five drug candidates complexed with Ves a 1 was calculated using 300-ns-MD trajectories. Our results revealed that voxilaprevir had a higher binding free energy at the catalytic sites than other drug candidates. Furthermore, the MD simulation results indicated that voxilaprevir formed stable conformations within the catalytic pocket. Consequently, voxilaprevir could act as a potent inhibitor, opening up avenues for the development of more effective anti-venom therapeutics for Ves a 1.

SUBMITTER: Pattaranggoon NC

PROVIDER: S-EPMC10313747 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Computational model for lipid binding regions in phospholipase (Ves a 1) from Vespa venom.

Pattaranggoon Nawanwat C NC Daduang Sakda S Rungrotmongkol Thanyada T Teajaroen Withan W Tipmanee Varomyalin V Hannongbua Supot S

Scientific reports 20230630 1

The Thai banded tiger wasp (Vespa affinis) is a dangerous vespid species found in Southeast Asia, and its stings often result in fatalities due to the presence of lethal phospholipase A[Formula: see text], known as Vespapase or Ves a 1. Developing anti-venoms for Ves a 1 using chemical drugs, such as chemical drug guide, remains a challenging task. In this study, we screened 2056 drugs against the opening conformation of the venom using the ZINC 15 and e-Drug 3D databases. The binding free energ ...[more]

PMID: 37391452

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Project description:Fungal infections with high mortality rates represent an increasing health risk. The Neosartorya (Aspergillus) fischeri antifungal protein 2 (NFAP2) is a small, cysteine-rich, cationic protein exhibiting potent anti-Candida activity. As the underlying mechanism, pore formation has been demonstrated; however, molecular level details on its membrane disruption action are lacking. Herein, we addressed the lipid binding of NFAP2 using a combined computational and experimental approach to simple lipid compositions with various surface charge properties. Simulation results revealed binding preferences for negatively charged model membranes, where selectivity is mediated by anionic lipid components enriched at the protein binding site but also assisted by zwitterionic lipid species. Several potential binding routes initiated by various anchoring contacts were observed, which resulted in one main binding mode and a few variants, with NFAP2 residing on the membrane surface. Region 10NCPNNCKHKKG20 of the flexible N-terminal part of the protein showed potency to insert into the lipid bilayer, where the disulfide bond-stabilized short motif 11CPNNC15 could play a key role. In addition, several areas, including the beginning of the N-terminal (residues 1-8), played roles in facilitating initial membrane contacts. Besides, individual roles of residues such as Lys24, Lys32, Lys34, and Trp42 were also revealed by the simulations. Combined data demonstrated that the solution conformation was not perturbed markedly upon membrane interaction, and the folded part of the protein also contributed to stabilizing the bound state. Data also highlighted that the binding of NFAP2 to lipid vesicles is sensitively affected by environmental factors such as ionic strength. Electrostatic interactions driven by anionic lipids were found pivotal, explaining the reduced membrane activity observed under high salt conditions. Experimental data supported the lipid-selective binding mechanisms and pointed to salt-dependent effects, particularly to protein-assisted vesicle aggregation at low ionic strength. Our findings can contribute to the development of NFAP2-based anti-Candida agents and studies aiming at future medical use of peptide-based natural antifungal compounds.

Dataset Information

Computational model for lipid binding regions in phospholipase (Ves a 1) from Vespa venom.

Publications

Computational model for lipid binding regions in phospholipase (Ves a 1) from Vespa venom.

Similar Datasets

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