Patenting evolved batericidal peptides

Publisher Summary Computer-aided molecular design (CAMD) has taken a large leap forward in recent years by the use of algorithms, such as neural networks for the prediction of properties of interest, and genetic algorithms that use the neural network models in the discovery and design of new peptides. These techniques are being successfully used to design novel bactericidal peptides. Neural net equations have been determined on the basis of a sound theoretical hypothesis of bactericidal activity, 29 experimental measures, carefully chosen molecular parameters, and the development of a predictive model based on these aspects. The patent aspects of the work have identified several legal issues. A justification for the approach lies within the context of the well-documented method of computer-aided molecular design. It remains to be seen whether such a mathematical approach will rest easy with the patent offers around the world that must approve the patent for grant. In the same way that any patent discloses the scientific understanding of a particular scientific endeavour, so the chapter has disclosed the model in full, as well as the precise method for development of the model.

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