TY - JOUR
T1 - PRosettaC: Rosetta based modeling of PROTAC mediated ternary complexes
T2 - Rosetta based modeling of PROTAC mediated ternary complexes
AU - Zaidman, Daniel
AU - Prilusky, Jaime
AU - London, Nir
N1 - We would like to thank the Rosetta Commons, and in particular Drs. Rocco Moretti and Steven Lewis for much help with algorithmic details. N.L. is the incumbent of the Alan and Laraine Fischer Career Development Chair. N.L. would like to acknowledge funding from the Israel Science Foundation (grant no. 2462/19), The Israel Cancer Research Fund, the Israeli Ministry of Science and Technology (grant no. 3-14763), the Moross Integrated Cancer Center and the Dr. Barry Sherman institute for Medicinal Chemistry. N.L. is also supported by the Estate of Emile Mimran, Rising Tide Foundation, Honey and Dr. Barry Sherman Lab and Nelson P. Sirotsky. D.Z. would like to acknowledge the Pearlman Grant for student-initiated research in chemistry from the Faculty of Chemistry, the Weizmann Institute.
PY - 2020/10/26
Y1 - 2020/10/26
N2 - Proteolysis-targeting chimeras (PROTACs), which induce degradation by recruitment of an E3 ligase to a target protein, are gaining much interest as a new pharmacological modality. However, designing PROTACs is challenging. Formation of a ternary complex between the protein target, the PROTAC and the recruited E3 ligase is considered paramount for successful degradation. A structural model of this ternary complex could in principle inform rational PROTAC design. Unfortunately, only a handful of structures are available for such complexes, necessitating tools for their modeling. We developed a combined protocol for the modeling of a ternary complex induced by a given PROTAC. Our protocol alternates between sampling of the protein-protein interaction space and the PROTAC molecule conformational space. Application of this protocol - PRosettaC - to a benchmark of known PROTAC ternary complexes results in near-native predictions, with often atomic accuracy prediction of the protein chains, as well as the PROTAC binding moieties. It allowed the modeling of a CRBN/BTK complex that recapitulated experimental results for a series of PROTACs. PRosettaC generated models may be used to design PROTACs for new targets, as well as improve PROTACs for existing targets, potentially cutting down time and synthesis efforts. To enable wide access to this protocol we have made it available through a web-server (http://prosettac.weizmann.ac.il/).
AB - Proteolysis-targeting chimeras (PROTACs), which induce degradation by recruitment of an E3 ligase to a target protein, are gaining much interest as a new pharmacological modality. However, designing PROTACs is challenging. Formation of a ternary complex between the protein target, the PROTAC and the recruited E3 ligase is considered paramount for successful degradation. A structural model of this ternary complex could in principle inform rational PROTAC design. Unfortunately, only a handful of structures are available for such complexes, necessitating tools for their modeling. We developed a combined protocol for the modeling of a ternary complex induced by a given PROTAC. Our protocol alternates between sampling of the protein-protein interaction space and the PROTAC molecule conformational space. Application of this protocol - PRosettaC - to a benchmark of known PROTAC ternary complexes results in near-native predictions, with often atomic accuracy prediction of the protein chains, as well as the PROTAC binding moieties. It allowed the modeling of a CRBN/BTK complex that recapitulated experimental results for a series of PROTACs. PRosettaC generated models may be used to design PROTACs for new targets, as well as improve PROTACs for existing targets, potentially cutting down time and synthesis efforts. To enable wide access to this protocol we have made it available through a web-server (http://prosettac.weizmann.ac.il/).
UR - http://www.scopus.com/inward/record.url?scp=85094685273&partnerID=8YFLogxK
U2 - 10.1021/acs.jcim.0c00589
DO - 10.1021/acs.jcim.0c00589
M3 - مقالة
C2 - 32976709
SN - 1549-9596
VL - 60
SP - 4894
EP - 4903
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
IS - 10
ER -