Life Sciences

bg-1-waterLife Sciences will largely benefit from VI-SEEM that will facilitate through the VRE the laborious analysis and processing of big data arising from decoding the human genome in health and disease. The associated data analysis challenges include capture, curation, analysis, search, sharing, storage, transfer, and visualization. The VI-SEEM community consists of 12 research institutes from 9 different countries of the region.

The project will improve the innovation capacity as well as the efficient collaboration of researchers in the SEEM region by providing access to needed codes, data repositories, training material for data generation, processing and simulation setup. New knowledge will be produced and integrated into the existing e-Infrastructure. The Life Sciences community will lay the foundations for a larger infrastructure aiming to integrate all the laboratories that generate big data in the SEEM region in the future.


The Life Sciences Scientific Community goals can be found here


Current list of selected applications

Scientific Contact
BioMoFS Biological molecules folding simulation Modeling and molecular dynamics targeting the deeper understanding of the mechanisms of biological molecules self – organization and in particularly to the folding – misfolding of proteins. The project will contribute to the understanding of molecular mechanisms of the neuro degenerative diseases and, thus to the improvement of the health care. YSU, Armenia/
Yevgeni Mamasakhlisov
CCC Classification of Cancer Cells Develop an advanced approach for x-ray images in the context of signal processing, enabling medical users to diagnosis automatically cancer cells. CIT-TTU, Jordan/
Mohammad Alfraheed
CNCADD Conventional vs novel computer assisted drug delivery Comparing conventional with novel models for computer assisted drug delivery simulation, using methodologies including molecular dynamics, statistical physics, and Monte Carlo FP-UKIM, Macedonia/
Marija Glavash Dodov
DICOM Dicom network Application aims on distributing medical image sets. It is expected that “DICOM Network” will help doctors and medical researched with processing and comparing investigation results. As a result research community will have access to a large number of investigation archive databases, that will offer possibility for making decisions based on experience database. IEM-SI, Moldova/
Diana Zagadailo
MD-Sim Md Simulations of Biomolecules Modeling and Molecular Dynamics (MD) study of identified drug targets and computer-aided drug design. Simulations of biomolecules important in health and disease. BRF-AA, Greece/
Zoe Cournia
MDSMS The molecular dynamics simulation of mixed systems Modeling and molecular dynamics to study the mechanism of interaction of various proteins and surfactants and to receive the pathways on the dynamical peculiarities of mentioned mixed systems. The results of the study will make an important contribution to basic researches in Biophysics. ISEC-NAS RA,
IIAP-NAS RA, Armenia/
Armen Poghosyan and Wahi Narsisian
MS4DD Molecular structure for drug design Modeling and molecular dynamics for studying and understanding of molecular structures and properties in the light of drug design. The obtained results could contribute to the development of novel citystatic agents, and the development of non-conventional metal-based anticancer drugs. IMB-BAS, Bulgaria/
Nicolay Dodoff
NGS1 Next generation sequencing pileline Apply NGS technology and pipeline to address the identification of genetic mutations that cause rare diseases in families and of genetic variants that contribute to complex diseases such as autism and cancer. Moreover potential users can use the pipeline with other non-human data-sets to identify variants. CING, Greece/
Athina Theodosiou
NGS2 Next generation sequencing data analysis Characterization of biomarkers using NGS data targeting improvement of non-invasive prenatal diagnosis methods and detection methods of genetic abnormalities in a non-invasive assay. TGT-CING, Greece/
Petros Mina
PSOMI Protein-small-organic-molecules-interaction Connect pure theoretical and practical organic chemistry research with practical application and usage of newly synthesized organic molecules. So far newly synthesized molecules or group of molecules have never been tested for biological activity. The results of research will be of great importance for the understanding of ligand-receptor in simulated “live” system. FNS-UM, Montenegro/
Miljan Bigovic
SEMaCD See Monogenic and Complex Disease Database Develop a database with genotype and phenotype data about patients with specific disorders which would benefit both researchers and MDs facilitating diagnostics and disease management and therapy. IMGGE, Belgrade, Serbia/
Djordje Francuski
SQP-IRS Bioinformatics sequence prediction algorithms compared with infrared spectroscopy experimental data for proteins secondary structure optimization More than 80% of the known protein structures have been solved using Macromolecular Crystallography technique that can be used in any Synchrotron light facility. Since the protein structure determination process is a long and complicated one, another approach is mandatory to help solving structures in a faster but still a very reliable way, using computational algorithms coupled with simpler and feasible experimental techniques to double check the ultimate result. For this, having a comparative and/or complementary study of Infrared microspectroscopy that is a label-free technique requiring almost no prior sample preparation, together with bioinformatics software will shorten and simplify the existing procedures. SESAME/
Gihan Kamel
THERMOGENOME Thermodynamic stability of dna/dna and rna/dna duplexes of entire genomes of eukaryotic organisms Study on how thermodynamic pattern of the genome influence fundamental processes of the cell such as transcription and RNA processing. Results could show why particular mutations alter RNA processing and lead to genetic diseases. IMB-BAS, Bulgaria/
Stoyno Stoynov
D3R Predicting the structure of the FXR-ligand inhibitor complexes and affinities using computre-aided drug design within the D3R challenge

Enhancing the predictability of ligand-protein binding pose prediction using computer-aided drug design. Delivering guidelines for lead optiization using free energy perturbation calculations.

 BRF-AA, Greece/
Zoe Cournia