Nidà Meddouri

Refinement of a ligand activity and representation of topological phamacophores in a colored network

By Maroua Lejmi, Damien Geslin, Bertrand Cuissart, Ilef Ben Slima, Nidà Meddouri, Ronan Bureau, Alban Lepailleur, Amel Borgi, Jean-Luc Lamotte


In Proceedings of the 11èmes journées de la société française de chémoinformatique

Abstract Structure-Activity Relationships is a critical aspect of drug design. It enables us to examine ligand interactions and performances towards specific targets, then to design effective drugs for treating diseases or improving existing medical therapies. In this context, we specifically study the activity of ligands towards kinases using the BCR-ABL dataset. The work is dedicated to introduce a refinement method for the activity of molecules. Instead of considering anity as a binary activity, a molecule being either active or inactive, the compounds were partitioned into 4 classes according to their activity: very active, moderately active, slightly active, inactive.

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On the historical evolution of the performance versus cost ratio of Raspberry Pi computers

By David Beserra, Nidà Meddouri, Célia Restes, Anys Nait Zerrad, Basma Bouharicha, Aurore Duvernoy


In Conférence francophone d’informatique en parallélisme, architecture et système (compas 2023)

Abstract This article aims to analyze the historical evolution of the cost/performance ratio of the Raspberry Pi family of computers, given their representativeness in the field of single-board computers. While comparing the cost/performance ratio of different models of single-board computers is not a new idea, there are no studies focused on evaluating the performance evolution and associated costs of all generations of the Raspberry Pi B line. Our analysis considered all generations of Raspberry Pi B line available on the market until 2023, and we adjusted computer prices based on the 2012 dollar value, the year of the first Raspberry Pi’s launch.

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Clustering en chémoinformatique pour le raffinement de l’activité des molécules

By Maroua Lejmi, Ilef Ben Slima, Bertrand Cuissart, Nidà Meddouri, Ronan Bureau, Alban Lepailleur, Jean-Luc Lamotte, Amel Borgi


In Proceedings of the second computer science UTM PhD symposium

Abstract Dans le domaine de la conception des médicaments, la chémoinformatique utilise des méthodes informatiques et mathématiques pour analyser des données chimiques et biologiques et essayer de trouver très en amont des molécules intéressantes. Dans notre contexte, nous transformons les molécules pour ne conserver que leurs caractéristiques pharmacophoriques (partie active de la molécule). L’objectif de ce travail est de raffiner l’activité des molécules qui seront utilisées dans le processus de conception des médicaments en des classes d’activité.

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