Author

Fernando Diaz

Pfizer (United States)

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

Molecular Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:multiome· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Adele XuiD· 1 shared Alicia SolórzanoiD· 1 shared Alvaro Cortes Cabrera· 1 shared Andrew M. WatkinsiD· 1 shared Bernhard Fasching· 1 shared Bojan Tunguz· 1 shared Christian A. ChoeiD· 1 shared Craig H. KerriD· 1 shared

Activity by Year

2016-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 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

1 shared paperMolecular Biology

Adele XuORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

Kathrin Leppek, Gun Woo Byeon, Wipapat Kladwang, Hannah K. Wayment-Steele, Craig H. Kerr, Adele Xu, Do Soon Kim, Ved V. Topkar, Christian A. Choe, Daphna Rothschild, Gerald C. Tiu, Roger Wellington-Oguri, Kotaro Fujii, Eesha Sharma, Andrew M. Watkins, , Rhiju Das

This study develops PERSIST-seq and In-line-seq to optimize mRNA stability and translation, finding that in-cell stability is more critical than ribosome load for protein output.

Nature Communications · Mar 22, 2022Peer-reviewedMolecular Biology

Compound biological signatures facilitate phenotypic screening and target elucidation

Alvaro Cortes Cabrera, Daniel Lucena-Agell, Mariano Redondo-Horcajo, Isabel Barasoain, Fernando Diaz, Bernhard Fasching, Paula Petrone

The paper introduces BIOSEA, a method to identify compounds that reproduce desired cellular phenotypes using historical bioactivity data, finding novel inhibitors and drug repurposing opportunities.

bioRxiv · Mar 2, 2016Pharmacology & Toxicology