Minor and Cursus Program

Those courses are taught in small workshops in front of computer in the laboratory.
The topics permit the student projects to be pursued during the second year of their program.


Metabolism is a set of reactions which permits  an organism to live. The comparison and the analysis of the metabolism is a way to identify putative targets for drugs. Indeed, the genomic comparison (for instance between a pathogenic Fungi and the human) leads to build ortholog groups (proteins which share similar functions) and so to identify fungal proteins without any equivalent with human. Among these proteins, the mapping between the corresponding enzymatic function and the metabolic map permits to find proteins which are required in essential pathways: these proteins can be good candidates for drug targets.

Gene Expression and Bio-Data Mining

Transcriptomic study is based on the concept that co-expressed genes work together for same biological functions. Based on this hypothesis, several high throughput screening techniques have been developed such as microarrays for mRNA relative expression value, SNP microarrays for genetic variants and Chip on chips for promotor studies. Microarray analysis need merging of statistics, bioinformatics and biology knowledge managment. In this context, the key point is to find biological meaning for gene expression clusters thanks to bio datamining methods (biological gene annotation, gene network building and tranversal meta analysis). Thus, microarray analyses linked to Bio datamining and bioinformatics accelerate the biological target and drug discovery for several diseases (e.g. Austism).

Drug Design & Chem’Informatics

Interaction of small molecules with biological targets is the underlying principles of drug actions. Rational-based Drug Design uses the 3D structural information of the selected therapeutic target for indentifying potential inhibitors. Various techniques are been used for each steps of the early drug development. Initial Hit Finding might involve high throughput virtual screening of large collection of known synthesized compounds or virtually create combinatorial chemistry libraries to preselect the reactants for a given scaffold. De novo drug design, 2D & 3D pharmacophore and other chem’informatics tools are introduced in this course. There are parts of the computational chemist panel commonly used in early drug discovery program. In our research we are using the suite of programs FLO-QXP and ALLEGROW from Colin McMartin and Regine Bocacek (www.bostondenovo.com)

Lab Internal


FLO+ : is a drug design and virtual screening software to study protein ligand interactions

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Jean-Yves Trosset