Hosein Mohimani

The paper introduces MASPR, a machine learning method using protein language models to predict adenylation domain substrate specificities, enabling the prediction of hybrid NRP-PK natural products.

molDiscovery improves small molecule identification by learning fragmentation patterns from mass spectra, achieving higher efficiency and accuracy than existing methods.

The paper introduces FBMN, a method for improving molecular networking by enhancing quantitative analysis and isomer distinction using feature detection and alignment tools in the GNPS platform.

The paper introduces CycloNovo, a de novo cyclopeptide sequencing algorithm, revealing a vast hidden cyclopeptidome in the human gut and other environments.

MetaRiPPquest identifies RiPPs by combining genome/metagenome mining with mass spectrometry analysis, discovering 5 novel natural products from 6 datasets.