Snake Venom and Antivenom Pharmacology

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  SNAKE VENOM & ANTIVENOM Chemistry, Composition, Mechanisms and Pharmacology Abstract This integrated teaching session for Phase III MBBS students focused on the pharmacology and toxicology of snake venom and the principles of antivenom therapy. The lecture covered the chemistry, composition, mechanisms of action, and pharmacological effects of snake venoms and antivenoms. Rational use of antivenoms, indications, administration protocols, adverse reactions, and supportive management strategies were discussed. The session also highlighted the translational importance of venom-derived compounds in modern drug development. Recent advances in antivenom research, including recombinant human monoclonal antibodies, toxin-specific inhibitors, synthetic antibody technologies, and next-generation broad-spectrum antivenoms, were reviewed. Current discoveries and emerging approaches aimed at improving efficacy, safety, affordability, and accessibility of antivenom therapy were also explor...

Optimizing Scorpion Toxin Processing through Artificial Intelligence

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Optimizing Scorpion Toxin Processing through Artificial Intelligence

Abstract

Scorpion toxins are relatively short cyclic peptides (<150 amino acids) that can disrupt the opening/closing mechanisms in cell ion channels. These peptides are widely studied for several reasons including their use in drug discovery. Although improvements in RNAseq have greatly expedited the discovery of new scorpion toxins, their annotation remains challenging, mainly due to their small size. Here, we present a new pipeline to annotate toxins from scorpion transcriptomes using a neural network approach. This pipeline implements basic neural networks to sort amino acid sequences to find those that are likely toxins and thereafter predict the type of toxin represented by the sequence. We anticipate that this pipeline will accelerate the classification of scorpion toxins in forthcoming scorpion genome sequencing projects and potentially serve a useful role in identifying targets for drug development.

Psenicnik, A., A., A., Graham, M. R., Hassan, M. K., A., M., Sharma, P. P., & E., C. (2024). Optimizing Scorpion Toxin Processing through Artificial Intelligence. Toxins, 16(10), 437. https://doi.org/10.3390/toxins16100437