European Journal of Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 279, P. 116901 - 116901
Published: Sept. 27, 2024
Language: Английский
European Journal of Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 279, P. 116901 - 116901
Published: Sept. 27, 2024
Language: Английский
Journal of Medicinal Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 4, 2025
The tedious synthesis and limited throughput biological evaluation remain a great challenge for discovering new proteolysis targeting chimera (PROTAC). To rapidly identify potential PROTAC lead compounds, we report platform named Auto-RapTAC. Based on the modular characteristic of molecule, streamlined workflow that integrates lab automation with "click chemistry" joint building-block libraries was constructed. This facilitates autonomous generation variety PROTACs, each distinct linkers E3 ligase ligands, all stored in biocompatible solutions. ready-for-screening (R4S) approach, when paired fluorescence-based assays, enables efficient assessment degradation activity high-throughput manner. further test capability platform, six PROTACs target CDK2, CDK12, BCL6 within mere 8-day time frame target. In all, this could find broad application not only but also rapid development novel heterobifunctional modalities.
Language: Английский
Citations
0Wiley Interdisciplinary Reviews Computational Molecular Science, Journal Year: 2025, Volume and Issue: 15(2)
Published: March 1, 2025
ABSTRACT Proteolysis targeting chimera (PROTAC) induces specific protein degradation through the ubiquitin–proteasome system and offers significant advantages over small molecule drugs. They are emerging as a promising avenue, particularly in previously “undruggable” targets. Traditional PROTACs have been discovered large‐scale experimental screening. Extensive research efforts focused on unraveling biological pharmacological functions of PROTACs, with strides made toward transitioning from empirical discovery to rational, structure‐based design strategies. This review provides an overview recent representative computer‐aided drug studies PROTACs. We highlight how utilization targeted database, molecular modeling techniques, machine learning algorithms, computational methods contributes facilitating PROTAC discovery. Furthermore, we conclude achievements field explore challenges future directions. aim offer insights references for rational
Language: Английский
Citations
0European Journal of Medicinal Chemistry, Journal Year: 2024, Volume and Issue: 279, P. 116901 - 116901
Published: Sept. 27, 2024
Language: Английский
Citations
2