Torres Susana Vázquez, Valle Melisa Benard, Mackessy Stephen P, Menzies Stefanie K, Casewell Nicholas R, Ahmadi Shirin, Burlet Nick J, Muratspahić Edin, Sappington Isaac, Overath Max D, Rivera-de-Torre Esperanza, Ledergerber Jann, Laustsen Andreas H, Boddum Kim, Bera Asim K, Kang Alex, Brackenbrough Evans, Cardoso Iara A, Crittenden Edouard P, Edge Rebecca J, Decarreau Justin, Ragotte Robert J, Pillai Arvind S, Abedi Mohamad, Han Hannah L, Gerben Stacey R, Murray Analisa, Skotheim Rebecca, Stuart Lynda, Stewart Lance, Fryer Thomas J A, Jenkins Timothy P, Baker David
Department of Biochemistry, University of Washington, Seattle, WA, USA.
Institute for Protein Design, University of Washington, Seattle, WA, USA.
Res Sq. 2024 May 17:rs.3.rs-4402792. doi: 10.21203/rs.3.rs-4402792/v1.
Snakebite envenoming remains a devastating and neglected tropical disease, claiming over 100,000 lives annually and causing severe complications and long-lasting disabilities for many more. Three-finger toxins (3FTx) are highly toxic components of elapid snake venoms that can cause diverse pathologies, including severe tissue damage and inhibition of nicotinic acetylcholine receptors (nAChRs) resulting in life-threatening neurotoxicity. Currently, the only available treatments for snakebite consist of polyclonal antibodies derived from the plasma of immunized animals, which have high cost and limited efficacy against 3FTxs. Here, we use deep learning methods to design proteins to bind short- and long-chain α-neurotoxins and cytotoxins from the 3FTx family. With limited experimental screening, we obtain protein designs with remarkable thermal stability, high binding affinity, and near-atomic level agreement with the computational models. The designed proteins effectively neutralize all three 3FTx sub-families and protect mice from a lethal neurotoxin challenge. Such potent, stable, and readily manufacturable toxin-neutralizing proteins could provide the basis for safer, cost-effective, and widely accessible next-generation antivenom therapeutics. Beyond snakebite, our computational design methodology should help democratize therapeutic discovery, particularly in resource-limited settings, by substantially reducing costs and resource requirements for development of therapies to neglected tropical diseases.
蛇咬伤中毒仍然是一种毁灭性的被忽视的热带疾病,每年导致超过10万人死亡,并给更多人带来严重并发症和长期残疾。三指毒素(3FTx)是眼镜蛇科蛇毒的高毒性成分,可导致多种病理状况,包括严重的组织损伤和对烟碱型乙酰胆碱受体(nAChRs)的抑制,从而导致危及生命的神经毒性。目前,唯一可用的蛇咬伤治疗方法是来自免疫动物血浆的多克隆抗体,其成本高昂且对3FTx的疗效有限。在此,我们使用深度学习方法设计能结合3FTx家族的短链和长链α-神经毒素及细胞毒素的蛋白质。通过有限的实验筛选,我们获得了具有显著热稳定性、高结合亲和力且与计算模型近乎原子水平吻合的蛋白质设计。所设计的蛋白质能有效中和所有三个3FTx亚家族,并保护小鼠免受致命神经毒素的攻击。这种强效、稳定且易于制造毒素中和蛋白可为更安全、经济高效且广泛可及的下一代抗蛇毒血清疗法提供基础。除蛇咬伤外,我们的计算设计方法应有助于通过大幅降低被忽视热带疾病治疗开发的成本和资源需求,使治疗发现更加普及,尤其是在资源有限的环境中。