Prédiction d'Interactions et Amarrage Protéine-Protéine par combinaison de classifieurs. (Protein-Protein prediction and protein-protein docking by ensemble learning)

Apprentissage de fonctions de tri pour la prédiction d'interactions protéine-ARN

Résumé. Les fonctions biologiques dans la cellule mettent en jeu des interactions 3D entre protéines et ARN. Les avancées des techniques exérimentales restent insuffisantes pour de nombreuse applications. Il faut alors pouvoir prédire in silico les interactions protéine-ARN. Dans ce contexte, nos travaux sont focalisés sur la construction de fonctions de score permettant d’ordonner les solution...

Development of chemogenomic approaches for prediction of protein - ligand interactions. (Développement d'approches de chémogénomique pour la prédiction des interactions protéine - ligand)

Nouvelles méthodes de calcul pour la prédiction des interactions protéine-protéine au niveau structural. (Novel computational methods to predict protein-protein interactions on the structural level)

Drug discovery is a multidisciplinary field which includes molecular biology, biophysics, biochemistry, and pharmacology. It usually starts with the identification of a biological target which is known to play a critical role in a particular disease. Therein, computational methods are increasingly used in the structure-based drug design from target identification and validation to the designing...

Protein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches

DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...

ModClust: a Cytoscape plugin for modularity- based clustering of networks

Large networks such as protein-protein interaction networks are usually extremely difficult to understand as a whole. We developed ModClust, a Cytoscape plugin for modularitybased clustering of large networks. The aim of this plugin is first to establish classes of high density edges. It also allows to understand the relations between these classes, and how they are assembled within the whole g...