\[Notice\] Preprint will be released soon! K-Fold predicts biomolecular complex structures and binding-induced conformational changes. Through an apo-to-holo diffusion bridge, K-Fold aims to capture conformational changes in systems such as G protein-coupled receptors (GPCRs). K-Fold supports proteins, DNA, RNA, small molecules, and chemical modifications without multiple sequence alignments (MSAs). This model repository provides K-Fold pretrained weights and configuration. Inference and training code, examples, and data preprocessing workflows are available on GitHub. K-Fold uses pretrained AtlasLM for protein sequence representations and TriProRep for protein structure representations.…