The analysis of sequences is one of the major research areas of bio-informatics. Inspired by this research, we investigate the discovery of sequential patterns for use in classification. We will define variations of a fit function that enables us to tell if one pattern better fits to a class than another. Furthermore we will show how domain knowledge can be used for faster discovery of better sequential patterns in specific types of databases, in our case a receptor database. 