Our results indicate that the proposed approach of recommending de-novo molecules directly from input MS spectra provides critical insights on the characteristics of the underlying molecular structure, and, can complement existing tools especially when the current tools fail to identify the right molecule from existing databases. We speculate that incorporating prior knowledge in the model, for example in the form of fragmentation trees, can further boost the performance of the proposed method.