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Dixit, B.

Publications and source records attributed to Dixit, B..

2 recordsLinked to original sources

A Poly(rC)-Binding Protein Mediates Iron Delivery to Ferritin in Anopheles stephensi

Iron homeostasis is essential for both the Plasmodium parasite and its hosts, the mosquito and human; however, the molecular mechanisms governing intracellular iron trafficking remain poorly understood. In mammals, poly(rC)-binding proteins (PCBPs) function as major iron chaperones by delivering Fe2+ to ferritin and other iron-dependent proteins, yet their role in insects has not been investigated. Here, we provide the first structural and functional characterization of the PCBP from a major malaria vector, Anopheles stephensi. Comparative structural and evolutionary analyses showed that insect PCBPs are most closely related to human PCBP3. Coordinated expression and co-localization of AsPCBP with ferritin following blood feeding suggested a conserved role in mosquito iron homeostasis. Functional analyses demonstrated that KH2-KH3 linker and KH3 domain of PCBP, plays an important role in the AsPCBP-ferritin interaction and that deletion of these regions, unexpectedly increased ferritin binding affinity but impaired iron delivery, indicating that these regions are dispensable for complex formation but essential for efficient iron transfer. Collectively, our results identify PCBP as a key component of mosquito iron homeostasis that could be exploited for the development of novel antimalarial strategies.

biochemistry↗

Gradations in protein dynamics captured by experimental NMR are not well represented by AlphaFold2 models and other computational metrics

The advent of accurate methods to predict the fold of proteins initiated by AlphaFold2 is rapidly changing our understanding of proteins and helping their design. However, these methods are mainly trained on protein structures determined with X-ray diffraction, where the protein is packed in crystals at often cryogenic temperatures. They can therefore only reliably cover well-folded parts of proteins that experience few, if any, conformational changes. Experimentally, solution nuclear magnetic resonance (NMR) is the experimental method of choice to gain insight into protein dynamics at near physiological conditions. Computationally, methods such as molecular dynamics and Normal Mode Analysis (NMA) allow the estimation of a proteins intrinsic flexibility based on a single protein structure. This work addresses, on a large scale, the relationships for proteins between the AlphaFold2 pLDDT metric, the observed dynamics in solution from NMR metrics, interpreted MD simulations, and the computed dynamics with NMA from single AlphaFold2 models and NMR ensembles. We observe that these metrics agree well for rigid residues that adopt a single well-defined conformation, which are clearly distinct from residues that exhibit dynamic behavior and adopt multiple conformations. This direct order/disorder categorisation is reflected in the correlations observed between the parameters, but becomes very limited when considering only the likely dynamic residues. The gradations of dynamics observed by NMR in flexible protein regions are therefore not represented by these computational approaches. Our results are interactively available for each protein from https://bio2byte.be/af_nmr_nma/.

bioinformatics↗