Molecular and Structural Basis of Cross-Reactivity in M. tuberculosis Toxin-Antitoxin Systems.
Himani TandonAkhila Melarkode VattekatteNarayanaswamy SrinivasanSankaran SandhyaPublished in: Toxins (2020)
Mycobacterium tuberculosis genome encodes over 80 toxin-antitoxin (TA) systems. While each toxin interacts with its cognate antitoxin, the abundance of TA systems presents an opportunity for potential non-cognate interactions. TA systems mediate manifold interactions to manage pathogenicity and stress response network of the cell and non-cognate interactions may play vital roles as well. To address if non-cognate and heterologous interactions are feasible and to understand the structural basis of their interactions, we have performed comprehensive computational analyses on the available 3D structures and generated structural models of paralogous M. tuberculosis VapBC and MazEF TA systems. For a majority of the TA systems, we show that non-cognate toxin-antitoxin interactions are structurally incompatible except for complexes like VapBC15 and VapBC11, which show similar interfaces and potential for cross-reactivity. For TA systems which have been experimentally shown earlier to disfavor non-cognate interactions, we demonstrate that they are structurally and stereo-chemically incompatible. For selected TA systems, our detailed structural analysis identifies specificity conferring residues. Thus, our work improves the current understanding of TA interfaces and generates a hypothesis based on congenial binding site, geometric complementarity, and chemical nature of interfaces. Overall, our work offers a structure-based explanation for non-cognate toxin-antitoxin interactions in M. tuberculosis.
Keyphrases
- mycobacterium tuberculosis
- heat shock
- escherichia coli
- structural basis
- genome wide
- pulmonary tuberculosis
- emergency department
- hiv aids
- oxidative stress
- gene expression
- mass spectrometry
- dna methylation
- cystic fibrosis
- climate change
- candida albicans
- biofilm formation
- human health
- heat stress
- human immunodeficiency virus
- network analysis