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Identification of Covalent Cyclic Peptide Inhibitors Targeting Protein–Protein Interactions Using Phage Display

Covalent Modifiers

4c15843 Peptide macrocycles are promising therapeutics for a variety of disease indications due to their overall metabolic stability and potential to make highly selective binding interactions with targets. Boyd, Lei Wang, Ralf Bartenschlager, and Matthew Bogyo Journal of the American Chemical Society 2025 DOI: 10.1021/jacs.4c15843

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Evaluation of Systemic and Brain Pharmacokinetic Parameters for Repurposing Metformin Using Intravenous Bolus Administration [Drug Discovery and Translational Medicine]

ASPET

This study highlights these PK parameters and the importance of using pharmacologically relevant pre-clinical doses to study pharmacodynamics (PD) in stroke and related neurodegenerative diseases. In vitro assays examined brain tissue binding and metabolic stability.

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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

Abstract Sickle cell disease (SCD) is the most common genetic disorder, affecting millions of people worldwide. 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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The Data-Driven Future of Drug Development

DrugBank

For instance, Insilico Medicine , an AI-driven drug discovery company, has leveraged generative models to design novel molecules with desired properties, such as improved solubility and metabolic stability.    Moreover, data science designs novel drugs, such as antibody-drug conjugates (ADC) and bispecific antibodies.

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MetID Guided Drug Design

Metabolite Tales Blog

To curb O -glucuronidation at that position, a gem-dimethyl group was incorporated, which not only boosted metabolic stability but also resulted in increased potency of “compound 17” An earlier example of how to manage glucuronidation by steric hindrance is illustrated in “compound 25” in the paper by Zhang et al.,

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Game-changing pan-TEAD inhibitor for solid tumours

Drug Target Review

The system optimised the molecules that were most likely to succeed in terms of potency, metabolic stability, synthetic accessibility, and more. The novel molecules were further ranked based on their ADME and selectivity profiles.

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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. To really benefit from AI, the pharmaceutical industry must be more open to data sharing.

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