Interaction protéine-protéine

thumb|upright=1.2|L'inhibiteur de la ribonucléase en forme de fer à cheval (en représentation « fil de fer ») forme une interaction protéine–protéine avec la protéine de la ribonucléase. Les contacts entre les deux protéines sont représentés sous forme de taches colorées. Une Interaction protéine–protéine apparait lorsque deux ou plusieurs protéines se lient entre elles, le plus souvent pour mener à bien leur fonction biologique. Beaucoup des molécules les plus importantes qui agissent dans la cellule, comme le réplication de l'ADN, sont mises en œuvre par de grosses machines moléculaires qui sont constituées d'un grand nombre de protéines organisées grâce aux interactions protéine-protéine. Les interactions entre protéines ont été étudiées du point de vue de la biochimie, de la chimie quantique, de la dynamique moléculaire, de la chimie biologique, de la transduction de signal et autres théorie des graphes métabolique et génétique/épigénétique. Les interactions protéine-protéines sont

Analysis of expression of PDCP and MAL13P1.308 of Plasmodium falciparum employing a quantitative proteomics approach based on SILAC

Céline Freymond

Plasmodium falciparum is a deadly parasite that causes malaria in humans. This disease causes the death of one million people every year. To find new means to fight this parasite, it is important to learn more about its biology. As the pathways of protein expression are better understood, it becomes easier to find out how to block these mechanisms. The completion of the genome sequencing has opened new perspective of genome wide analysis. One of these studies was done by LaCount et al. who used the yeast1two1hybrid system to map the complete interaction network between proteins of P. falciparum. ¨ From this network of interaction an interesting protein was studied further by Daubenberger et al. which is PDCP. This protein is closely related to MSP11 in this protein network, a protein involved in erythrocyte invasion. PDCP is a CCCH1type zinc finger protein, a family of proteins that are involved in protein1protein interaction, nucleic acid binding and binding in small ligands. It was shown that its expression was dependant on the density of the parasites. In this study we used the SILAC technology to confirm these previous results. A culture is grown with isotopically heavy isoleucine in the medium as a control sample. After a few cell cycles, almost all the natural isoleucines are replaced with the labeled ones. Three cultures with parasitemia of 2, 5 and 10% are grown and mixed with an equal amount of the control culture. When the proteins are analyzed by mass spectrometry, the peptides that contained isoleucine will be detected as two separate peaks. After normalization of each peptide area with this internal control, the quantity of PDCP can be compared between cultures of different parasitemias. 11 peptides of PDCP have been detected by mass spectrometry, proving its existence for the first time. These peptides were labeled to more than 95%, allowing the comparison of PDCP expression between the cultures. But because of difficulty of reproducibility in in vitro cultures, the regulation of PDCP by the parasitemia has not been observed by SILAC. We wanted to study further the protein interaction network in which PDCP is involved. MAL13P1.308, a protein directly interacting with PDCP and MSP11 in the protein network map, was analyzed by IFA. It was found to be expressed during all stages of the asexual blood stage cycle and it was not imported in the host cell. The next step will be to see if it interacts with PDCP by co1localization studies

2008

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Bruno Emanuel Ferreira De Sousa Correia, Anthony Marchand, Alexandra Krina Van Hall-Beauvais

Protein–protein interactions (PPIs) govern numerous cellular functions in terms of signaling, transport, defense and many others. Designing novel PPIs poses a fundamental challenge to our understanding of molecular interactions. The capability to robustly engineer PPIs has immense potential for the development of novel synthetic biology tools and protein-based therapeutics. Over the last decades, many efforts in this area have relied purely on experimental approaches, but more recently, computational protein design has made important contributions. Template-based approaches utilize known PPIs and transplant the critical residues onto heterologous scaffolds. De novo design instead uses computational methods to generate novel binding motifs, allowing for a broader scope of the sites engaged in protein targets. Here, we review successful design cases, giving an overview of the methodological approaches used for templated and de novo PPI design.

2022

Analysis of expression of PDCP and MAL13P1.308 of Plasmodium falciparum employing a quantitative proteomics approach based on SILAC

Céline Freymond

2008

Interaction protéine-protéine

Analysis of expression of PDCP and MAL13P1.308 of Plasmodium falciparum employing a quantitative proteomics approach based on SILAC

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications

Probing protein-protein interactions in Mycobacteria using a novel SNAP-CLIP-tag technology

Analysis of expression of PDCP and MAL13P1.308 of Plasmodium falciparum employing a quantitative proteomics approach based on SILAC

Probing protein-protein interactions in Mycobacteria using a novel SNAP-CLIP-tag technology

Computational design of novel protein–protein interactions – An overview on methodological approaches and applications