We present a Semantic Map of resources for Structural Bioinformatics applied to proteins, i.e., various methods to predict and analyze protein structures in silico. Our map depicts resources on two levels: a logical level that provides a high-level description of the scientific concepts using a domain ontology; a physical level, that describes the actual resources implementing these connections. Scientists can use our system to express a query that captures their scientific aim, and are guided to identify the resources best meeting their needs. It is intended to provide scientists a tool to register and share knowledge about the available services in this field. Our approach addresses the problem of semantic interoperability of scientific resources publicly available on the web.