With the theme: Predictive models on a large scale in the context of the OECD guidelines, for some physico-chemical properties of molecules.
With the theme: Toxicity of phenols: A study QSAR (Quantitative Structure Activity Relationship) based on the method recommended by the OECD
Practical work (TP) chemistry
Two months internship in Politecnico di Milano, Italy under supervisor of Giuseppina Gini. The internship was concentrated on computational chemistry and Quantitative Structures Activity Relationship QSAR / QSPR, using CORAL and SARpy software, February, and March, 2016.
Three months internship in Katritzky Group, Center for Heterocyclic Compounds in University of Florida, USA. The internship was concentrated on computational chemistry and Quantitative structures activity Relationship QSAR, CODESSA Pro. October November and December 2013
3 days advanced training in Bioinformatics. 11th African Conference on Research in Computer Science and Applied Mathematics October 13-16, 2012 CERIST Algiers, Algeria
Oral communication: Seminars of the Applied Mathematics and Modeling Laboratory, Mentouri Constantine University, Algeria. December 13, 2016. Title: Quantitative Structure-Activity Relationships (QSARs) modeling: prediction of biological activity using data mining.
Poster communication: 2nd Days of Chemistry in University BADJI MOKHTAR Annaba, Algeria. Title: 3D-QSAR in drug design: Prediction of Biological Activity.
1Oral communication: Xth Days of Theoretical and Computational Chemistry - JCTC10 (Oran, Algeria). November 18-20, 2012. Title: QSAR study based on the method recommended by OECD.
Bouhedjar. K. et al. QSAR Modeling useful in Anti-Cancer Drug Discovery: Prediction of V600EBRAF-Dependent P-ERK using Monte Carlo Method. (2017) J Med Chem Toxicol 2(1): 1- 6.