Cyclodextrin based artificial enzymes

Using cyclodextrins (CDs) as scaffolds for artificial enzymes has emerged as a promising strategy for improving catalytic processes.

CDs are still widely used in the design of artificial enzymes and in understanding the enzymatic reaction mechanisms, especially in applications that require the modification of substrate solubility or the stabilization of reaction intermediates.

This review summarizes the CD-based artificial enzyme development, discusses key challenges and limitations of syntheses, and explores potential strategies to improve their catalytic activity.

Great paper from László Jicsinszky, Katia Martina, Luisa Boffa, Giancarlo Cravotto

Cyclodextrins: Establishing building blocks for AI-driven drug design by determining affinity constants in silico

Today’s cyclodextrin:
Check out this fascinating paper guiding us to the future of CDs:

AI-driven cyclodextrin drug design

Fascinating research by Amelia Anderson & Matthew “Oki” O’Connor from Cyclarity Therapeutics and Angel Piñeiro & Rebeca Garcia-Fandino from Universidad de Santiago de Compostela

Computational methods represent an exceptional complement to in vitro assays because they can be employed for existing and hypothetical molecules, providing high resolution structures in addition to a mechanistic, dynamic, kinetic, and thermodynamic characterization.

Bridging computational methods with complex molecular interactions, this research enables predictive CD designs for diverse applications. Moreover, the high reproducibility, sensitivity, and cost-effectiveness of the studied methods pave the way for extensive studies of massive CD-ligand combinations, enabling AI algorithm training and automated molecular design.

Cyclodextrins: Establishing building blocks for AI-driven drug design by determining affinity constants in silico – Computational and Structural Biotechnology Journal (csbj.org)

Hype Cycle Of The Top 50 Emerging Digital Health Trends By The Medical Futurist

Hype Cycle Of The Top 50 Emerging Digital Health Trends By The Medical Futurist
The hype curve represents the level of expectations associated with a certain technology – the higher on the curve, the greater the anticipation. Where the technology stands on the horizontal scale reflects how it relates to practical reality – if it’s only expected to be practically useful or whether it has reached the plateau of delivering actual healthcare solutions.
Green – meaning significant progress is in sight
Orange – moderate progress in sight
Red – not much progress in sight

See the article here