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PROTAC virtual screening: A retrospective screening exercise

Authors: Haresh, Ajani; Matthieu, Schapira;

PROTAC virtual screening: A retrospective screening exercise

Abstract

Funding Acknowledgment: The SGC is a registered charity (number 1097737) that receives funds from AbbVie, Bayer Pharma AG, Boehringer Ingelheim, Canada Foundation for Innovation, Eshelman Institute for Innovation, Genome Canada through Ontario Genomics Institute [OGI-055], Innovative Medicines Initiative (EU/EFPIA) [ULTRA-DD grant no. 115766], Janssen, Merck KGaA, Darmstadt, Germany, MSD, Novartis Pharma AG, Ontario Ministry of Research, Innovation, and Science (MRIS), Pfizer, São Paulo Research Foundation-FAPESP, Takeda, and Wellcome.

My goal is to test whether retrospective virtual screening approaches can guide the design of PROTACs. As a first step, I showed that HADDOCK was the best protein-protein docking tool among those I tested to predict how E3 ligases interact with their protein substrates. Here, I ask whether docking virtual libraries of PROTAC candidates to these E3 ligase – substrate protein interfaces can be used to predict which PROTACs are active.

Keywords

Virtual Screening, PROTACs, E3-ligase, Target Protein

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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