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Accurate de novo design of high-affinity protein-binding macrocycles using deep learning

Title: Accurate de novo design of high-affinity protein-binding macrocycles using deep learning
Authors: Rettie, Stephen A.Aff1, Aff2, Aff3; Juergens, DavidAff2, Aff4; Adebomi, VictorAff1, Aff2; Bueso, Yensi FloresAff1, Aff2, Aff5, Aff6; Zhao, QinqinAff7; Leveille, Alexandria N.Aff8; Liu, AndiAff7; Bera, Asim K.Aff2; Wilms, Joana A.Aff9, Aff10; Üffing, AlinaAff9, Aff10, Aff14; Kang, AlexAff2; Brackenbrough, EvansAff2; Lamb, MilaAff2; Gerben, Stacey R.Aff2; Murray, AnalisaAff2; Levine, Paul M.Aff2; Schneider, MaikaAff1, Aff2, Aff11; Vasireddy, VibhaAff1, Aff2; Ovchinnikov, SergeyAff12; Weiergräber, Oliver H.Aff10; Willbold, DieterAff9, Aff10; Kritzer, Joshua A.Aff8; Mougous, Joseph D.Aff7, Aff13; Baker, DavidAff2, Aff5, Aff13, IDs4158902501929w_cor1; DiMaio, FrankAff2, Aff5, IDs4158902501929w_cor2; Bhardwaj, GauravAff1, Aff2, IDs4158902501929w_cor3
Source: Nature Chemical Biology. 21(12):1948-1956
Database: Springer Nature Journals