The project involves the development of a multilayer approach to identify protein exositesusing data compilation and neural network training. A pipeline will be developed to identify potential protein partners using phage display experiments and co-localization information. The use of MRND will help identify protein-protein partners that interact at exosite loci. The project will also involvevirtual screening of compounds on the identified exosites of target proteins to identify potential candidates for medicines, taking into account the flexibility of pockets using a set approach. To the internal D-oligopeptide libraries will also be screened against identified pockets using asimilar approach. In addition to the above objectives, this project will also explore the use of NMR and metabolomics to further investigate exosites and identify potential drug candidates. these techniques will complement the other project methods and provide a more comprehensive understanding of the models.