Modeling interactions between TgrB1 and TgrC1 proteinsMitrev, Milosh (Avtor) Curk, Tomaž (Mentor) protein-protein interactionstgrB1tgrC1Dictyostelium discoideumAlphaFold3HADDOCKmachine learningThis thesis addresses the prediction of interaction compatibility between TgrB1 and TgrC1 protein variants in the social amoeba Dictyostelium discoideum, which play a key role in cell recognition and aggregation. A collection of known interacting and non-interacting protein pairs was constructed. Their three-dimensional protein structure models predicted using AlphaFold3 were used together with features derived from protein docking simulations performed with HADDOCK. In addition, protein sequence embeddings obtained with protein language models were included as alternative feature representations of protein sequences. A logistic regression model was trained on the combined feature set to estimate the probability of interaction for protein pairs. During evaluation, one positive and one negative pair were held out, and a prediction was considered correct when the positive pair received a higher interaction probability. The results show that structural features, particularly those derived from AlphaFold and docking, have the strongest impact on predictive performance, while sequence embeddings do not improve accuracy. The best model achieves up to 87% pairwise accuracy.20262026-09-11 14:30:00Diplomsko delo/naloga187590VisID: 38875sl