Research Projects
Student and Collaborative Research Projects in Bioinformatics & Structural Biology
Student and Collaborative Research Projects in Bioinformatics & Structural Biology
Viruses Database (SARS-CoV-2 Variants & Genomes) and Mutations-Explorer with Data Integration capacities.
BARID: Bacterial Antibiotic Resistance Investigation Database with Data Integration.
We provide access to:
NALD: Nucleic Acids & Ligands Database Ligands/Drugs Binding Motifs, Classes and Disease links
STAD: Structural Targets Annotation Database a tracking system form structural targets studied in Africa.
SSFS: Sequence, Structure and Function Server Structural data analysis and display service.
Use our system for creating data
integrated databases and search tools for biology-related topics:
CUPID an international colaboration with Uppsala University.
GabaAgent a system on GABA Receptors. Refer to in Oxford journal BIOINFORMATICS
Ebola and other virus resource systems.
We offer a Viruses (including Covid-19) Database and Search Engine that allows users to explore Variants, Genomes and Mutations of Covid-19 & other Viruses.
We have developed a Bacterial Antibiotic Resistance Investigation Database, aka, BARID, providing Lab Investigation & Data Integration concerning Antibiotics Resistance.
With 2 Databases (Structural Targets [1] & Nucleic Acids and Ligands [2]) and a Sequence, Structure and Function Server, you can dive deep into Structural Bioinformatics and use collected Data using our search engines.
Take a look at the different Flora in specific states in Algeria, a fully detailed database and search engine for plants of particular regions.
A system for creating data integrated databases and search tools for biology-related topics, on GABA receptors, and the Ebola Virus Disease and related topics.
Algeria witnesses a visible surge in the rise of COVID-19 cases and hence a quite worrying spread of the SARS-CoV-2 viruses.
It's a new theory in the making that talks about the possibility of proteins to code and edit other proteins!
Towards a molecular based explanation of the high transmissibility of the new variants of the corona-virus.