From Structure to Function: Integrating Cryo-EM Meta-States with Hybrid Simulations for Protein Dynamics Analysis

Protein dynamics are crucial for deciphering functional mechanisms in biological systems. Traditional molecular dynamics (MD) simulations, while invaluable, often fall short in capturing extensive domain motions within practical computational timescales. This limitation hinders a full understanding of protein energetics and functional transitions. To overcome this, we have developed advanced hybrid simulation techniques that synergistically integrate normal mode analysis (NMA) with MD, employing enhanced sampling to deeply probe potential energy landscapes. This approach significantly improves the exploration and prediction of protein dynamics across various functional states, providing a more accurate depiction of conformational changes.Simultaneously, advancements in cryo-electron microscopy (cryoEM) have enabled the resolution of multiple conformational meta-states from a single dataset. These meta-states provide an intricate view of structural variations critical to protein functionality. Our hybrid simulation framework, enhanced by normal-mode based sampling, is tailored to complement and extend insights from cryoEM data. This integration allows for meticulous interpretation of the meta-states, correlating dynamic simulations with observed structural variations to enhance both the robustness and interpretive power of cryoEM findings.We demonstrate the utility of these hybrid simulation methods, highlighting how their application alongside the resolution of multiple cryoEM meta-states delivers profound insights into protein dynamics and energetics. This integrative approach not only advances our understanding of molecular mechanisms at a structural level but also expands the tools available for targeted drug discovery and molecular therapeutic strategies. 

This work was supported by: Nasc. Des. Cient. Tecnológico (CNPq), Fund. Oswaldo Cruz (Fiocruz), Fund. Coord. Pessoa Nível Superior (CAPES), Fund. Carlos Chagas Filho Amp. Research State of Rio de Janeiro (FAPERJ) and CAPES/COFECUB.