Author

O. Barak

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

Biology Disciplines

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Bioengineering· 2 Biophysics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Organism:mouse· 1 Assay:proteomics· 1

Frequent Co-Authors

D. Lizneva· 2 shared F. Korkmaz· 2 shared M. Zaidi· 2 shared N. Brenner· 2 shared T. Yuen· 2 shared A. A. Gumerova· 1 shared A. Macdonald· 1 shared A. R. Pallapati· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersPhysiology

D. Lizneva

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Single Transcript Level Atlas of Oxytocin and the Oxytocin Receptor in the Mouse Brain

V. Ryu, A. A. Gumerova, G. Pevnev, F. Korkmaz, H. Kannangara, L. Cullen, R. Witztum, S. L. Sims, T. Frolinger, O. Moldavski, O. Barak, J. J. Cao, D. Lizneva, K. A. Goosens, T. Yuen, M. Zaidi

The paper maps OXT and OXTR expression in the mouse brain at the single transcript level to identify functional OXT nodes.

eLife · Feb 23, 2026Peer-reviewedPhysiology

Development and Biophysical Characterization of a Humanized FSH-Blocking Monoclonal Antibody Therapeutic Formulated at an Ultra-High Concentration

S. Rojekar, A. R. Pallapati, J. Gimenez-Roig, F. Korkmaz, F. Sultana, D. Sant, C. M. Haeck, A. Macdonald, S.-M. Kim, C. J. Rosen, O. Barak, M. Meseck, J. Caminis, D. Lizneva, T. Yuen, M. Zaidi

This paper develops a stable, high-concentration formulation of a humanized FSH-blocking antibody and validates its physicochemical and thermal stability.

eLife · Jun 19, 2023Peer-reviewedBioengineering

Identifying Regulation with Adversarial Surrogate

R. Teichner, A. Shomar, O. Barak, N. Brenner, S. Marom, R. Meir, D. Eytan

This paper introduces IRAS, a method to identify control objectives in homeostatic systems using adversarial surrogates, showing it works on synthetic and natural data.

bioRxiv · Oct 8, 2022 · PreprintBioengineering

Scale free topology as an effective feedback system

A. Rivkind, H. Schreier, N. Brenner, O. Barak

The paper introduces a method to analyze scale-free networks by approximating hubs and studies their impact on network dynamics, finding that outgoing hubs drive convergence while incoming hubs do not.

bioRxiv · Jul 10, 2019Biophysics