Author

Robert E. Lintner

Broad InstituteORCID 0000-0002-4379-7799Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biochemistry· 1 Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:DNA methylation· 1 Organism:fungi (other)· 1 Approach:machine learning (classical)· 1 Research Focus:phylogenetics / evolution· 1 Assay:protein structure· 1

Frequent Co-Authors

David E. RootiD· 2 shared Xiaoping YangiD· 2 shared Adam BrowniD· 1 shared Ammar NasifiD· 1 shared Anders FribergiD· 1 shared Andrew J. AguirreiD· 1 shared Andrew Lee HongiD· 1 shared Andrew O. GiacomelliiD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBiochemistry

David E. RootORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Structural insights into DHODH-mediated catalysis and drug resistance

Ruchika Pokhriyal, Hyuk‐Soo Seo, Mio Murakoso, S Trojan, LAURA EVANS, Jillian K. O'Neil, K. N. K. Chauhan, Shakchhi Joshi, Hanna Meyer, Anders Friberg, Judith Günther, SVEN GIESE, Sven Christian, Xiaoping Yang, Robert E. Lintner, , Julie-Aurore Losman

This study provides structural insights into DHODH catalysis and drug resistance by analyzing conformational changes and resistance mutations.

bioRxiv · Sep 24, 2026 · PreprintBiochemistry

Defining protein variant functions using high-complexity mutagenesis libraries and enhanced mutant detection software ASMv1.0

Xiaoping Yang, Andrew Lee Hong, Ted Sharpe, Andrew O. Giacomelli, Robert E. Lintner, Douglas Alan, Thomas Green, Tikvah K. Hayes, Federica Piccioni, Briana Fritchman, Hinako Kawabe, Edith Sawyer, Luke Sprenkle, Benjamin P. Lee, Nicole S. Persky, , David E. Root

The paper introduces a method to screen large variant libraries with mutations across wide regions using improved mutant detection software, enabling accurate variant calling and counting from sequencing data.

bioRxiv · Jun 16, 2021 · PreprintSystems Biology

Evolutionary persistence of DNA methylation for millions of years after ancient loss of a de novo methyltransferase

Sandra Catania, Phillip A. Dumesic, Harold Pimentel, Ammar Nasif, Caitlin I. Stoddard, Jordan E. Burke, Jolene K. Diedrich, Sophie L. Cooke, Terrance Shea, Elizabeth Gienger, Robert E. Lintner, John R. Yates, Petra Hájková, Geeta J. Narlikar, Christina A. Cuomo, , Hiten D. Madhani

The paper shows that DNA methylation persists in Cryptococcus neoformans despite the loss of a de novo methyltransferase, with methylation patterns maintained through replication and natural selection.

Cell · Jan 1, 2020Peer-reviewedMolecular Biology