“…Different strategies have been developed for tackling this issue, and the number of recent publications on exploration of MC conformational space highlights the relevance of such methods . These include stochastic algorithms, where the MC ring is broken, the linear parts are sampled, and fused back together; , distance geometry, , generic shapes, and knowledge-based algorithms, , as well as inverse kinematics approaches. , Furthermore, deterministic methods can be used for conformational sampling, e.g., performing molecular dynamics (MD) simulations, usually at elevated temperatures, compensating the increased interconversion barrier. − Approaches based on metadynamics for conformer generation (and subsequent docking) have been explored in a case study and more recently investigated in benchmark studies …”