“…Most commonly, this process involves the input of existing X-ray or NMR structures from the PDB [22,[26][27][28][29], however in their absence, the neural network-based, structure prediction programs, AlphaFold [109] or RoseTTA [110] now offer an alternative. To guide this initial structure into the target density map, various flexible fitting tools, such as cryo_fit within phenix [70], ISOLDE [71] or iMODFIT [72] in Chimera, Namdinator [73] among others [29,111] can be used to accommodate conformational heterogeneity by utilising molecular dynamics simulations or normal mode analysis [112]. In scenarios where it is difficult to annotate protein and DNA in the density maps, the recent tools Haruspex [68] and Emap2sec+ [69] can be employed to detect these structures in high-resolution maps (>4 Å) and lower resolution maps 5-10 Å, respectively using neural networks.…”