“…These include docking conformational searches, such as Fast Fourier Transform (6,7), geometric hashing (4,8), and particle swarm optimization (9), and for considering protein flexibility (10,11). Development of new methods aim to extend and surpass the capabilities of simple pairwise docking, such as multi-chain docking (12)(13)(14), peptide-protein docking (15)(16)(17), docking with disordered proteins (18), docking order prediction (19,20), and docking for cryo-EM maps (21,22). Researchers have also applied recent advances in deep learning to further boost docking performance (23)(24)(25).…”