Author

Daniel R. Monaco

Johns Hopkins University

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 Molecular Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:proteomics· 2 Research Focus:deconvolution· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:protein design· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

H. Benjamin LarmaniD· 2 shared Danielle E. AndersoniD· 1 shared Florian P. BreitwieseriD· 1 shared Gabriel D. Román‐Meléndez· 1 shared Kai KammersiD· 1 shared Kathleen Waugh· 1 shared Kevin TaniD· 1 shared Limin Wijaya· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 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 papersMolecular Biology

H. Benjamin LarmanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Protease Activity Profiling Via Programmable Phage Display

Gabriel D. Román‐Meléndez, Thiagarajan Venkataraman, Daniel R. Monaco, H. Benjamin Larman

The paper introduces SEPARATE, a method to profile protease activity using phage display of the human proteome, identifying both known and novel substrates.

bioRxiv · May 11, 2020 · PreprintMolecular Biology

Deconvoluting Virome-Wide Antiviral Antibody Profiling Data

Daniel R. Monaco, Sanjay V. Kottapalli, Tiezheng Yuan, Florian P. Breitwieser, Danielle E. Anderson, Limin Wijaya, Kevin Tan, Wan Ni Chia, Kai Kammers, Mario Caturegli, Kathleen Waugh, Marian Rewers, Lin‐Fa Wang, H. Benjamin Larman

The paper introduces AVARDA, a software package for analyzing VirScan data to deconvolute antiviral antibody responses, improving viral encephalitis diagnosis by 62.5% in a cohort.

bioRxiv · May 30, 2018 · PreprintBioinformatics