Proteomic analysis of the venom of Conus flavidus from Red Sea reveals potential pharmacological applications. [PDF]
J Genet Eng BiotechnolGermoush MO +9 more
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A Combined Transcriptomics and Proteomics Approach Reveals the Differences in the Predatory and Defensive Venoms of the Molluscivorous Cone Snail Cylinder ammiralis (Caenogastropoda: Conidae). [PDF]
Toxins (Basel), 2021 Abalde S, Dutertre S, Zardoya R.
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Cysteine pattern barcoding-based dataset filtration enhances the machine learning-assisted interpretation of Conus venom peptide therapeutics. [PDF]
PLoS OneBibi R, Qasmi N, Rashid S.
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Peptide Toxins from Marine <i>Conus</i> Snails with Activity on Potassium Channels and/or Currents. [PDF]
Toxins (Basel)Martínez-Hernández L +2 more
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Recognition of Conus species using a combined approach of supervised learning and deep learning-based feature extraction. [PDF]
PLoS OneQasmi N, Bibi R, Rashid S.
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Annotated genome of the Atlantic dog whelk, Nucella lapillus. [PDF]
G3 (Bethesda)Ford MR, Vollmer SV, Trussell GC.
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Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence. [PDF]
Nat CommunGuan C +3 more
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Identification of Conomarphin Variants in the Conus eburneus Venom and the Effect of Sequence and PTM Variations on Conomarphin Conformations. [PDF]
Mar Drugs, 2020 Itang CEMM +6 more
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Conotoxins: Classification, Prediction, and Future Directions in Bioinformatics. [PDF]
Toxins (Basel)Li R +7 more
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