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Improved screening of therapeutic candidates using integrated fragment-based approaches

Posted: 12 September 2018 | | No comments yet

An integrated fragment-based approach, which reveals enzymatic inhibitors with potential therapeutic application, is the subject of this webinar.Taking place on 25 October 2018 at 3:00pm, the webinar is supported by NanoTemper Technologies.

Integrated fragment-based approach reveals enzymatic inhibitors with potential therapeutic application

Keynote speakers – Dr Antonio Macchiarulo and Dr Alice Coletti from the Department of Pharmaceutical Sciences, University of Perugia, Italy – will provide an overview of IDO1 structure and functions, the rise and fall of current IDO1 inhibitors in immune-oncology and the quest for next-generation ligands of IDO1.

They will present the results of integrated fragment-based approaches that have led to the discovery of the first ligands of IDO1 able to modulate non-catalytic signalling functions of the enzyme. Dr Antonio Macchiarulo and Dr Alice Coletti will focus on MicroScale Thermophoresis (MST) as the cornerstone methodology of their discovery pipeline and will conclude with an outlook on the impact of fragment-based approaches to drug discovery in the post-genomic era.

Indoleamine 2,3 dioxygenase 1 (IDO1) is a heme-containing enzyme that catalyses the conversion of L-Tryptophan (Trp) into a series of bioactive metabolites along the kynurenine pathway, eventually leading to immunoregulatory effects. These effects include induction of regulatory T-cell differentiation and activation, suppression of T-cell immune responses and inhibition of dendritic cell function.

 

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AI-powered drug discovery: Accelerating the development of life-saving therapies

18 September 2025 | 14:00PM BST | FREE Webinar

Join this webinar to learn how AI is accelerating early-stage drug discovery and improving target identification, practical strategies for applying AI effectively within your organisation and to ask your questions to our industry expert! Dr Remco Jan Geukes Foppen will share practical insights into how AI is being applied across the pharmaceutical sector, helping teams move faster and make better-informed decisions. With experience spanning data management, image analysis, bioinformatics, and machine learning in clinical research, he brings both deep technical expertise and strategic understanding of real-world challenges.

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IDO1 is widely recognised as a valuable drug target for the development of immunotherapeutic small molecules in oncology. Although numerous chemical classes of potent IDO1 inhibitors have been discovered, few compounds have progressed in clinical trials. The most advanced drug candidate, Epacadostat, unfortunately failed in phase III clinical trials in metastatic melanoma patients.

These disappointing results highlight the complexity of targeting IDO1 for drug discovery and suggest a still elusive knowledge on its biological functions. Accordingly, next-generation ligands are sought with the aim of investigating hidden and relevant aspects of IDO1 biology.