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Effect of ophiopogonin D on the pharmacokinetics and transport of cryptotanshinone during their co?administration and the potential mechanism

Chemical Biology and Drug Design

The co-administration of cryptotanshinone with ophiopogonin D induced pharmacokinetic interaction prolonging the systemic exposure and improving metabolic stability of cryptotanshinone. The Caco-2 cells were employed to evaluate the transport of cryptotanshinone, and the metabolic stability was studied in the rat liver microsomes.

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Targeted modification of furan?2?carboxaldehydes into Michael acceptor analogs yielded long?acting hemoglobin modulators with dual antisickling activities

Chemical Biology and Drug Design

However, the aldehyde functional group metabolic instability has severly hampered their development, except for voxelotor, which was approved in 2019 for SCD treatment.

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Pharmacokinetic study of the interaction between luteolin and magnoflorine in rats

Chemical Biology and Drug Design

Magnoflorine increased the systemic exposure and metabolic stability and suppressed the transport of luteolin. CaCO-2 cell transwell assay was employed for transport evaluation, and the metabolic stability of luteolin and CYP3A activity were assessed in rat liver microsomes.

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How the AI revolution can accelerate early drug discovery

Drug Target Review

Complex challenges such as metabolic stability or absorption, distribution, metabolism or excretion (ADME) properties could be better predicted, accurately filtering out poor candidates and streamlining discovery. He has published 22 scientific articles and has a h-index of 13. Matthew is a chartered chemist.

Drugs 105
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Efficient trajectories

Molecular Design

I'll examine an article entitled ‘Mapping the Efficiency and Physicochemical Trajectories of Successful Optimizations’ (YL2018) in this post and I should note that the article title reminded me that abseiling has been described as the second fastest way down the mountain. So let's take a look at YL2018 and the trajectories.

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AI in Drug Discovery 2023 - A Highly Opinionated Literature Review (Part I)

Practical Cheminformatics

The papers covered here reflect my research interests and biases, and I’ve certainly overlooked areas that others consider vital. Review articles 2023 was a bit of a mixed bag for AI in drug discovery. Here’s the first part of my review of some interesting machine learning (ML) papers I read in 2023.

Drugs 144