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Biology subjects

Rouiller, I.

Publications and source records attributed to Rouiller, I..

2 recordsLinked to original sources

In silico and in vitro characterization of the mycobacterial protein Ku to unravel its role in non-homologous end-joining DNA repair

Non-homologous end-joining DNA repair is essential for the survival and sustenance of M. tuberculosis (Mtb) in the dormant stage of its life cycle. The ability of Mtb to sustain itself in the inactive form has been reported to be the critical factor for its resilience over the years. To unravel one of the salient features of the Mtbs arsenal, we exploited in silico and in vitro tools to characterize the DNA binding properties of mycobacterial protein Ku (mKu) and its role in mycobacterial NHEJ. Here, we report the strong affinity of mKu for linear dsDNA exhibiting positive cooperativity for dsDNAs ({zeta}40bp). Molecular dynamics complemented with in vitro experiments showed that the DNA binding of mKu provides stability to both mKu homodimer and the DNA. Furthermore, mKu end-capping of DNA was seen to protect the DNA termini against nucleolytic degradation by exonuclease. The DNA-mKu association formed higher-order oligomers probably due to the lodgement of two DNA molecules at opposite ends of the mKu homodimer. The ability of mKu to form continuous filament-like structures with DNA indicated its potential role in mycobacterial NHEJ synapsis.

biochemistry↗

MDTOMO: Continuous conformational variability analysis in cryo electron subtomogram data using flexible fitting based on Molecular Dynamics simulations

Cryo electron tomography (cryo-ET) allows observing macromolecular complexes in their native environment. The common routine of subtomogram averaging (STA) allows obtaining the three-dimensional (3D) structure of abundant macromolecular complexes, and can be coupled with discrete classification to reveal conformational heterogeneity of the sample. However, the number of complexes extracted from cryo-ET data is usually small, which restricts the discrete-classification results to a small number of enough populated states and, thus, results in a largely incomplete conformational landscape. Alternative approaches are currently being investigated to explore the continuity of the conformational landscapes that in situ cryo-ET studies could provide. In this article, we present MDTOMO, a method for analyzing continuous conformational variability in cryo-ET subtomograms based on Molecular Dynamics (MD) simulations. MDTOMO allows obtaining an atomic-scale model of conformational variability and the corresponding free-energy landscape, from a given set of cryo-ET subtomograms. The article presents the performance of MDTOMO on a synthetic ABC exporter dataset and an in situ SARS-CoV-2 spike dataset. MDTOMO allows analyzing dynamic properties of molecular complexes to understand their biological functions, which could also be useful for structure-based drug discovery.

bioinformatics↗