Biology flourished during the XXth century and was profoundly disrupted during the last decade because of the transition to the post-genomic era, the spread of high-throughput biology, and the advent of a relatively new discipline, namely bioinformatics. This latter, which encompasses the collection, organization and analysis of biological data using the computer tool, has quickly become inseparable from the studies related to the genome understanding. The consequences of the different mutations that may affect our genes are responsible for a change in the protein sequence and are likely to affect, for example, the stability of the protein, its intracellular targeting, its maturation, its assembly in a multimeric structure, the essential sites for its enzymatic activity or for the interaction with ligands. Thus, a number of bioinformatic developments have made it possible to set up in silico prediction tools of the structure of a protein that is aiming at predicting the impact of local mutations on the structure of proteins. Throughout our study, we have been interested in exploring, through in silico bioinformatic study, three analytical, prediction and modeling, software, choosing as exemple the G12D mutation that affects the proto-oncogene KRAS found in numerous algerian patients with bronchopulmonary cancers cells (NSCLC). This study allowed us to integrate these bioinformatic tools into our laboratory of developmental biology and LBDD differentiation at the University of Oran 1 Ahmed Benbella, in Algeria. Thus, we have been able to conclude, even if the found mutation is predicted to be tolerated and has no deleterious effect on the entire Ras protein, that the consequence of this missense mutation depends mainly on the position in the protein and the chemical properties of the amino acid involved in the substitution and which shows a strong affinity with the GTP molecule.
Keywords: KRAS; functional mutation G12D; in silico study; non-small cell lung cancer.