DTITR , a concatenated-encoders approach, were two transformer-encoders are working in parallel to generate Drug-Target binding Affinity (DTA) predictions that are more reliable than simple interactions predictions; binding strength is evaluated based on structural and sequential information. One encoder takes protein sequences as an input, while the other is for drugs' SMILES sequences. Results from both encoders are concatenated through a cross-attention block and further go through a Fully Connected Feed Forward Network (FCNN). DTITR has outperformed or worked equally with tested benchmarks.