We present a novel fragment-based approach that tackles some of the challenges for chemical biology of predicting protein function. The general approach, which we have termed biofragments, comprises two key stages. First, a biologically relevant fragment library (biofragment library) can be designed and constructed from known sets of substrate-like ligands for a protein class of interest. Second, the library can be screened for binding to a novel putative ligand-binding protein from the same or similar class, and the characterization of hits provides insight into the basis of ligand recognition, selectivity, and function at the substrate level. As a proof-of-concept, we applied the biofragments approach to the functionally uncharacterized Mycobacterium tuberculosis (Mtb) cytochrome P450 isoform, CYP126. This led to the development of a tailored CYP biofragment library with notable 3D characteristics and a significantly higher screening hit rate (14 %) than standard drug-like fragment libraries screened previously against Mtb CYP121 and 125 (4 % and 1 %, respectively). Biofragment hits were identified that make both substrate-like type-I and inhibitor-like type-II interactions with CYP126. A chemical-fingerprint-based substrate model was built from the hits and used to search a virtual TB metabolome, which led to the discovery that CYP126 has a strong preference for the recognition of aromatics and substrate-like type-I binding of chlorophenol moieties within the active site near the heme. Future catalytic analyses will be focused on assessing CYP126 for potential substrate oxidative dehalogenation. Putting all the pieces together: A fragment-based approach, "biofragments", can be used to assign functions to unknown proteins. This concept is applicable to investigate the function of any uncharacterized member in a class of ligand-binding proteins and was applied towards characterization of the Mycobacterium tuberculosis cytochrome P450 isoform, CYP126. © 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
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Hudson, S. A., Mashalidis, E. H., Bender, A., McLean, K. J., Munro, A. W., & Abell, C. (2014). Biofragments: An approach towards predicting protein function using biologically related fragments and its application to mycobacterium tuberculosis CYP126. ChemBioChem, 15(4), 549–555. https://doi.org/10.1002/cbic.201300697