Abstract: The invention relates to polypeptides, comprising repeats of peptides derived from apolipoproteins, which exhibit antibacterial activity and to nucleic acids encoding the same. The invention further provides the use of such polypeptides, derivatives, analogues or nucleic acids as medicaments, and also their use in methods of preventing or treating bacterial infection or objects and surfaces. The invention further extends to objects, such as contact lenses, coated with the polypeptides.

Abstract: The present invention concerns polypeptides derived from a tandem repeat of apoE141-149 and their uses as medicaments. The peptides may comprise the tandem repeat, and truncations thereof, for which at least one Leucine (L) is replaced by an amino acid with a side chain comprising at least 4 carbon atoms and at least one Nitrogen atom. Such peptides are useful for preventing or treating viral infections.

Abstract: The method identifies repeating patterns in sequential event streams, in which each event (A1, B, C, D, A2) is of a pre-determined event type (A, B, C, D) and occurs at a specified position within an event stream. In the method, an edge-weighted graph is generated in which each event type is represented by a vertex. A window of pre-determined width is then moved through an event stream and the edges in the graph are weighted in response to the co-occurrence of eventsin the window. Thus, if a window contains an event A1 and moves on through the event stream such that it also contains a second event B, the weighting of the edge linking the vertices representing the corresponding event types A, B in the graph is incremented. Repeating patterns in the event stream thus emerge as clusters of higher edge weights in the graph and can be detected by a graph clustering method. Individual instances of a pattern identified by the method can optionally be located by re-scanning the event stream for individual patterns.