Author

Raymond Newland

Genentech

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:bulk RNA-seq· 1 Research Focus:cell signaling & trafficking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1

Frequent Co-Authors

Ryan L. KellyiD· 2 shared Bence DánieliD· 1 shared Christian N. CunninghamiD· 1 shared Christina Helmling· 1 shared Clara FannjiangiD· 1 shared Cristhian CadenaiD· 1 shared Cynthia CheniD· 1 shared Emma BolechiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersImmunology

Ryan L. KellyORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

IRF2 degradation tunes the innate immune response

Cristhian Cadena, Rohit Reja, Emma Bolech, Joshua D. Webster, Vasumathi Kameswaran, Marco Claudio De Simone, Cynthia Chen, Jian Wei Jiang, Kathy Hötzel, Kamela O. Alegre, Zhenyu Tan, Raymond Newland, Ryan L. Kelly, Spyros Darmanis, Bence Dániel, , Vishva M. Dixit

The paper shows IRF2 degradation by IRF1 during immune responses enhances ISG transcription, revealing a regulatory circuit between IRF1 and IRF2 in innate immunity.

bioRxiv · Sep 23, 2025 · PreprintImmunology

Deep Evolutionary Fitness Inference for Variant Nomination from Directed Evolution

Max W. Shen, Nathaniel Diamant, Christina Helmling, Raymond Newland, Ziqing Lu, Clara Fannjiang, Simon P. Kelow, Nathan C. Frey, Saeed Saremi, Ryan L. Kelly, Richard Bonneau, Gabriele Scalia, Christian N. Cunningham, Tommaso Biancalani

This paper introduces EVFI and DeepEVFI, machine learning methods that infer variant fitness from directed evolution data, identifying tighter binders missed by conventional approaches.

bioRxiv · Jul 22, 2025 · PreprintBioinformatics