Cyclic peptide structure prediction and design using AlphaFold2

Cyclic peptide structure prediction and design using AlphaFold2

Abstract Small cyclic peptides have gained significant traction as a therapeutic modality; however, the development of deep learning methods for accurately designing such peptides has been slow, mostly due to the lack of sufficiently large training sets. Here, we introduce AfCycDesign, a deep learni...

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Main Authors: Stephen A. Rettie, Katelyn V. Campbell, Asim K. Bera, Alex Kang, Simon Kozlov, Yensi Flores Bueso, Joshmyn De La Cruz, Maggie Ahlrichs, Suna Cheng, Stacey R. Gerben, Mila Lamb, Analisa Murray, Victor Adebomi, Guangfeng Zhou, Frank DiMaio, Sergey Ovchinnikov, Gaurav Bhardwaj
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-025-59940-7
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https://doi.org/10.1038/s41467-025-59940-7

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