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Biology subjects

Taterra, M.

Publications and source records attributed to Taterra, M..

2 recordsLinked to original sources

Cryo-EM structures of apo human Factor XIa reveal catalytic-domain flexibility and exposure of the Factor IX-binding site

Factor XI (FXI) is a key coagulation protease of the intrinsic pathway of blood coagulation and an emerging antithrombotic target. However, the structural transition from zymogen to active Factor XIa (FXIa) has remained poorly understood. Using cryo-EM, we demonstrate that FXI activation results in a global reorganization of the homodimer, extending beyond the activation loop to include a significant reorientation of the catalytic domain (CD) relative to the apple-domain (AD) platform. The CD displays pronounced conformational heterogeneity; we identify three distinct conformers, suggesting that FXIa exists as a dynamic ensemble rather than a single rigid state. MD analysis indicates that activation disrupts the inter-CD allosteric communication present in the zymogen, thereby facilitating this flexibility. CD plasticity allows for the dynamic exposure of the A3 exosite, facilitating the binding of Factor IX. Comparison with plasma kallikrein (PKa) suggests that such structural flexibility may be a shared feature of apple-domain-containing contact-system proteases. Our results reveal that FXIa functions as a dynamic ensemble, providing a structural framework for understanding substrate recognition and identifying novel, non-catalytic sites for the development of specific FXIa inhibitors.

biochemistry↗

MDPath: Unraveling Allosteric Communication Paths of Drug Targets through Molecular Dynamics Simulations

Understanding allosteric communication in proteins remains a critical challenge for structure-based, rational drug design. We present MDPath, a Python toolkit for analyzing allosteric communication paths in molecular dynamics simulations using NMI-based analysis. We demonstrate MDPaths ability to identify both established and novel GPCR allosteric mechanisms using the {beta}2-adrenoceptor, adenosine A2A receptor, and {micro}-opioid receptor as model systems. The toolkit reveals ligand-specific allosteric effects in {beta}2-adrenoceptor and MOR, illustrating how protein-ligand interactions drive conformational changes. Analysis of ABL1 kinase in complex with allosteric and orthosteric inhibitors demonstrates the broader applicability of the approach. Ultimately, MDPath provides an open-source framework for mapping allosteric communication within proteins, advancing structure-based drug design (https://github.com/wolberlab/mdpath).

bioinformatics↗