29 March 2020 #Skikda

Spring School on Drug Design

Learning and practicing the main approaches and techniques
used in Drug Design

March 29 to April 02, 2020 - Skikda


Nowadays, researchers from various scientific disciplines, including biology, chemistry, pharmacy, medicine, computer science and mathematics seek for the fruitful scientific collaboration to exchange and discuss new ideas related to drug development processes from the beginning of target-identifying and selecting lead compounds,Preclinical and Clinical trials.

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Drug Design is a crucial step in drug development process. Due to the need to of the academic and pharmaceutical firms to provide a robust decisions in order to minimize the budget of drug costs, the researchers have to go away from the intuitive decision. Regarding the huge explosion of data, exponential evolution of their storage, several methods and algorithms have been designed and approved to make a robust decisions in drug design steps, known as computer aided drug design methods. All researchers are welcome to attend our spring school on Drug Design and, mainly PhD students in chemistry, pharmacy, biology and medicine interested in the development and use of the main approaches and techniques of drug design such as QSAR, molecular docking and pharmacophore, data mining and machine learning. The activities of the spring school are based on a simple approach and divided into lectures in the morning sessions and workshops, case studies in the afternoon sessions during which, the learners practice the main concepts and programs provided in the conferences and lectures.


When and where ?

Our event will be held in Azzaba Wilaya of Skikda taking place at the Higher School of Technological Education starting from March 29th to April 2nd 2020. you can see more info

For who ?

This training is for research professors, academic and professional researchers, who work or who love working on drug design. It targets first and foremost pharmacists, organic chemists and theorists, biologists.. see our pricing

what you'll learn ?

Modeling biological activity using Ligand and structure based drug design approach using QSAR, molecular docking, pharmacophore models and virtual screening. you can see more about our workshops

2D & 3D

QSAR approach searches to relate between activity/property and chemical features known as molecular descriptors.

Pharmacophore Modeling

Pharmacophore, represents the spatial arrangement of features that is essential for a molecule to interact with a specific target receptor.

Molecular Docking

Molecular docking approach is used to find the best orientation and position of the ligand in the binding site of protein/DNA.


Bring to the table win-win survival strategies to ensure proactive domination.

Our workshops

During this spring school, the workshops tutorials will focus on how to grow your knowledge in biology, chemistry, and pharmacy. Teach you what a medicinal chemist (particularly drug conceptor) really expects and needs. Also, it focuses on developing additional skills and practice drug design techniques.


Please find the agenda of the Spring School on Drug Design 2020 in Skikda underneath. You can either download the pdf version or bookmark this site to have easy access.

9h00 – 09h45
9h45 – 10h30
10h30 - 11h45
13h30 - 18h00
Sunday 29-03
Computer aided drug design
QSAR approach
Workshop on 2D QSAR
Monday 30-03
Introduction to Molecular Docking
Machine learning in drug design 1
Calculation methodds in computational chemisty
Workshop on molecular Docking - 1
Search Algorithms and Scoring Function in molecular docking
Machine learning in drug design 2
Pharmacophore modeling and applications in drug design
Workshop on Molecular Docking - 2
Wednesday 01-04
Pharmacophore ligand/structure-based drug design
Machine learning in drug design 3
Workshop on Ligand - based pharmacophore drug design
Workshop on Ligand - based pharmacophore drug design
Automating drug discovery
Workshop on Pharmacophore hypothesis generation based on structure
Workshop on Pharmacophore hypothesis generation based on structure
Workshop on Pharmacophore hypothesis generation based on structure

Our pricing plans

The registration fee includes access to all lectures and practical exercises, copy of all material, coffee breaks and beverages. For a reduced fee it is possible to attend only the morning sessions (only lectures- no workshops).

25000 DZD / Professors and doctors
25000 DZD / Researchers
15000 DZD / Phd students & pharmacist resident
30000 DZD / Professionals
Register now
Morning Session
10000 DZD / Professors and doctors
10000 DZD / Researchers
10000 DZD / Phd students & pharmacist resident
20000 DZD / Professionals
Register now


Please click on the name in order to find more information about the Speaker and his talk

team member
Fouad Ferkous

Fouad Ferkous is a Professor in Chemistry at the Department of Chemistry, University of Annaba. He studied and received his High Studies in Chemistry “D.E.S.” in 1982. In 1985, He obtained his doctorate diploma in Organic Chemistry at Bordeaux University in France. His domain of interest in organic synthesis, organotin compounds, radical reactions, a-glucosidase inhibitors, diabetes type II, molecular modeling. Currently, Ferkous is head of a organometallic and molecular modeling team in the Applied Organic Chemistry Laboratory.

team member
Abdelmalek Khorief Naceredine

Abdelmalek Khorief Nacereddine was born in Skikda, Algeria in 1978. He studied chemistry at the University of Annaba and graduated in Chemistry in 2004. He acquired his Magister diploma in Organic Chemistry in 2007, and then in 2011 he obtained his Doctorate in science in Theoretical Organic Chemistry (thesis entitled “An experimental and theoretical study of cycloaddition reactions”). In 2006, he started as a Temporary Assistant Professor at the University of Skikda. In 2011 he became an Assistant Professor at the higher School of Technological Education of Skikda. In 2013, he obtained the position of Class A Lecturer, and finally in 2019, he obtained his current position of Full Professor at the Department of Physics and Chemistry of the higher School of Technological Education of Skikda. In 2013, he has created his Research group called “Theoretical and Computational Organic Chemistry” at the Synthesis and Biocatalysis Organic Laboratory of Badji Mokhtar Annaba University. In 2007 he came up with his first studies in the field of Theoretical Organic Chemistry. So far, he has published around 25 theoretical studies in different fields of Theoretical Organic Chemistry, with an index H equal to 8. He collaborates with various groups of both experimental and theoretical research, both nationally and internationally. He is a reviewer of a large number of international renowned journals such as the Canadian journal of Chemistry, the Journal of Molecular Modelling and Physical Organic Chemistry ...etc, with more than 30 articles reviewed.

team member
Youcef Saihi
Associate Professor

Youcef Saihi currently works as an Associate professor in the Department of Process Engineering at the Higher School of Technological Education – Skikda, and since 2015 as an active researcher member at the Laboratory of Applied Organic Chemistry (LAOC), University of Annaba. Ph.D. in Applied Organic Chemistry. Thesis entitled “Study of the Quantitative Structure-Activity relationship of some hydrolytic enzymes: the case of a- glucosidases”. My research interest, Within the Organometallic Chemistry and Molecular Modeling (OCMM) team, focuses on the use of computer-aided drug design (CADD) methods for the discovery of novel molecules of therapeutic interest. Ongoing Current research projects: a member of the PRFU research project that builds on the finding and development of new antidiabetic drug candidates, by focusing on the different therapeutic targets of non-insulin dependent type 2 diabetes.

team member
Khairedine Kraim
Associate Professor

Khairedine Kraim is an associate professor in the Department of Physics and Chemistry at the Higher School of Technological Education since 2012. His research interests encompass applications of 2D QSAR, 3D QSAR, molecular docking, Pharmacophore, and virtual screening to find new scaffolds acting as inhibitors against several biological targets. Presently, he employs the above techniques to find new hits against kinases, a-glucosidase, and topoisomerase 1 & 2 enzymes

team member
Mohammed Brahimi
Assistant Lecturer

Mohammed Brahimi is a Ph.D. student at the University of Sciences and Technology Houari Boumediene (USTHB) of Algiers in Algeria and computer science assistant professor at the University of Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj in Algeria. Currently, he is doing an internship of one year at Mons University (Belgium). He is working on deep learning applications in plant disease protection and many other domains (drug design, mobility prediction, action recognition,...). He is interested in machine learning theory and application in different fields (Agriculture, Chemistry, Engineering...). Recently, he has worked in deep learning and especially convolutional neural network (CNN) for computer vision. He applied the CNN for plant disease classification and human action recognition. He is also working on the interpretation of CNN results using visualization methods to make it more useful in many critical applications. Additionally, he is working on the challenge CNN labeled data consumption and deep learning in general. He published the following papers in this topic:
● Deep interpretable architecture for plant diseases classification
● Deep Learning for Plant Diseases: Detection and Saliency Map Visualization
● Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

team member
Ahmed Allali
Assistant Lecturer

Since 2014, Ahmed Allali is an assistant professor in the Department of Agronomy at the University of El Oued. Her research interests include the application of Molecular Modeling, 2D-QSAR, Molecular Docking, and Virtual Screening to find new hits serving as inhibitors against multiple biological targets. Currently, he uses the above techniques to find new inhibitors of the reverse transcriptase enzyme.


Find us

The spring school SSDD 2020 will take place at the Department of Physics and Chemistry at Higher School for Professors of Technological Education, Azzaba, Wilaya of Skikda, Algeria.

  • Azzaba, Skikda, Algeria

  • + 213 666 65 33 82/+213 673 68 56 38

  • skikdaspringschool@gmail.com