Search Results - "Dejong, Chris A."

Comprehensive prediction of secondary metabolite structure and biological activity from microbial genome sequences by Skinnider, Michael A., Johnston, Chad W., Gunabalasingam, Mathusan, Merwin, Nishanth J., Kieliszek, Agata M., MacLellan, Robyn J., Li, Haoxin, Ranieri, Michael R. M., Webster, Andrew L. H., Cao, My P. T., Pfeifle, Annabelle, Spencer, Norman, To, Q. Huy, Wallace, Dan Peter, Dejong, Chris A., Magarvey, Nathan A.

“…Novel antibiotics are urgently needed to address the looming global crisis of antibiotic resistance. Historically, the primary source of clinically used…”
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DeepRiPP integrates multiomics data to automate discovery of novel ribosomally synthesized natural products by Merwin, Nishanth J., Mousa, Walaa K., Dejong, Chris A., Skinnider, Michael A., Cannon, Michael J., Li, Haoxin, Dial, Keshav, Gunabalasingam, Mathusan, Johnston, Chad, Magarvey, Nathan A.

“…Microbial natural products represent a rich resource of evolved chemistry that forms the basis for the majority of pharmacotherapeutics. Ribosomally…”
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Genomes to natural products PRediction Informatics for Secondary Metabolomes (PRISM) by Skinnider, Michael A, Dejong, Chris A, Rees, Philip N, Johnston, Chad W, Li, Haoxin, Webster, Andrew L H, Wyatt, Morgan A, Magarvey, Nathan A

“…Microbial natural products are an invaluable source of evolved bioactive small molecules and pharmaceutical agents. Next-generation and metagenomic sequencing…”
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Genomic charting of ribosomally synthesized natural product chemical space facilitates targeted mining by Skinnider, Michael A., Johnston, Chad W., Edgar, Robyn E., Dejong, Chris A., Merwin, Nishanth J., Rees, Philip N., Magarvey, Nathan A.

“…Microbial natural products are an evolved resource of bioactive small molecules, which form the foundation of many modern therapeutic regimes. Ribosomally…”
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The Cytochrome P450 superfamily complement (CYPome) in the annelid Capitella teleta by Dejong, Chris A, Wilson, Joanna Y

“…The Cytochrome P450 super family (CYP) is responsible for a wide range of functions in metazoans, having roles in both exogenous and endogenous substrate…”
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Assembly and clustering of natural antibiotics guides target identification by Johnston, Chad W, Skinnider, Michael A, Dejong, Chris A, Rees, Philip N, Chen, Gregory M, Walker, Chelsea G, French, Shawn, Brown, Eric D, Bérdy, János, Liu, Dennis Y, Magarvey, Nathan A

“…A retrobiosynthetic algorithm that relates known antibiotics by the similarities of their biosynthetic pathways to cluster them into distinct classes. Focusing…”
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Global analysis of prokaryotic tRNA-derived cyclodipeptide biosynthesis by Skinnider, Michael A, Johnston, Chad W, Merwin, Nishanth J, Dejong, Chris A, Magarvey, Nathan A

“…Among naturally occurring small molecules, tRNA-derived cyclodipeptides are a class that have attracted attention for their diverse and desirable biological…”
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Comparative analysis of chemical similarity methods for modular natural products with a hypothetical structure enumeration algorithm by Skinnider, Michael A., Dejong, Chris A., Franczak, Brian C., McNicholas, Paul D., Magarvey, Nathan A.

“…Natural products represent a prominent source of pharmaceutically and industrially important agents. Calculating the chemical similarity of two molecules is a…”
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Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching by Dejong, Chris A, Chen, Gregory M, Li, Haoxin, Johnston, Chad W, Edwards, Mclean R, Rees, Philip N, Skinnider, Michael A, Webster, Andrew L H, Magarvey, Nathan A

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Polyketide and nonribosomal peptide retro-biosynthesis and global gene cluster matching by Dejong, Chris A, Chen, Gregory M, Li, Haoxin, Johnston, Chad W, Edwards, Mclean R, Rees, Philip N, Skinnider, Michael A, Webster, Andrew L H, Magarvey, Nathan A

“…Two programs, GRAPE and GARLIC, work together to first predict biosynthetic gene clusters responsible for the production of polyketides and nonribosomal…”
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Artificial intelligence for natural product drug discovery by Mullowney, Michael W., Duncan, Katherine R., Elsayed, Somayah S., Garg, Neha, van der Hooft, Justin J. J., Martin, Nathaniel I., Meijer, David, Terlouw, Barbara R., Biermann, Friederike, Blin, Kai, Durairaj, Janani, Gorostiola González, Marina, Helfrich, Eric J. N., Huber, Florian, Leopold-Messer, Stefan, Rajan, Kohulan, de Rond, Tristan, van Santen, Jeffrey A., Sorokina, Maria, Balunas, Marcy J., Beniddir, Mehdi A., van Bergeijk, Doris A., Carroll, Laura M., Clark, Chase M., Clevert, Djork-Arné, Dejong, Chris A., Du, Chao, Ferrinho, Scarlet, Grisoni, Francesca, Hofstetter, Albert, Jespers, Willem, Kalinina, Olga V., Kautsar, Satria A., Kim, Hyunwoo, Leao, Tiago F., Masschelein, Joleen, Rees, Evan R., Reher, Raphael, Reker, Daniel, Schwaller, Philippe, Segler, Marwin, Skinnider, Michael A., Walker, Allison S., Willighagen, Egon L., Zdrazil, Barbara, Ziemert, Nadine, Goss, Rebecca J. M., Guyomard, Pierre, Volkamer, Andrea, Gerwick, William H., Kim, Hyun Uk, Müller, Rolf, van Wezel, Gilles P., van Westen, Gerard J. P., Hirsch, Anna K. H., Linington, Roger G., Robinson, Serina L., Medema, Marnix H.

“…Developments in computational omics technologies have provided new means to access the hidden diversity of natural products, unearthing new potential for drug…”
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