TY - JOUR
T1 - De novo designed proteins neutralize lethal snake venom toxins
AU - Baker, David
AU - Torres, Susana Vázquez
AU - Valle, Melisa Benard
AU - Mackessy, Stephen P.
AU - Menzies, Stefanie
AU - Casewell, Nicholas
AU - Ahmadi, Shirin
AU - Burlet, Nick J.
AU - Muratspahić, Edin
AU - Sappington, Isaac
AU - Overath, Max
AU - Rivera-de-Torre, Esperanza
AU - Ledergerber, Jann
AU - Laustsen, Andreas H.
AU - Boddum, Kim
AU - Bera, Asim
AU - Kang, Alex
AU - Brackenbrough, Evans
AU - Cardoso, Iara
AU - Crittenden, Edouard
AU - Edge, Rebecca
AU - Decarreau, Justin
AU - Ragotte, Robert J
AU - Pillai, Arvind
AU - Abedi, Mohamad
AU - Han, Hannah
AU - Gerben, Stacey
AU - Murray, Analisa
AU - Skotheim, Rebecca
AU - Stuart, Lynda
AU - Stewart, Lance
AU - Fryer, Thomas J. A.
AU - Jenkins, Timothy P.
PY - 2025
Y1 - 2025
N2 - 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 more1,2. Three-finger toxins (3FTx) are highly toxic components of elapid snake venoms that can cause diverse pathologies, including severe tissue damage3 and inhibition of nicotinic acetylcholine receptors (nAChRs) resulting in life-threatening neurotoxicity4. 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 3FTxs5,6,7. Here, we use deep learning methods to de novo 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 in vitro 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.
AB - 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 more1,2. Three-finger toxins (3FTx) are highly toxic components of elapid snake venoms that can cause diverse pathologies, including severe tissue damage3 and inhibition of nicotinic acetylcholine receptors (nAChRs) resulting in life-threatening neurotoxicity4. 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 3FTxs5,6,7. Here, we use deep learning methods to de novo 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 in vitro 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.
U2 - 10.1038/s41586-024-08393-x
DO - 10.1038/s41586-024-08393-x
M3 - Journal article
C2 - 38798548
SN - 0028-0836
SP - 225
EP - 231
JO - Nature
JF - Nature
ER -