Author

A. Olar

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

Immunology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

A. Prosz· 1 shared A. Slabodkin· 1 shared B. B. Mehta· 1 shared D. T. T. Haug· 1 shared E. Miho· 1 shared E. Smorodina· 1 shared F. Lund-Johansen· 1 shared G. K. Sandve· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 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 paperImmunology

A. Prosz

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for real-world antibody specificity prediction

P. A. Robert, R. Akbar, R. Frank, M. Pavlovic, M. Widrich, I. Snapkov, A. Slabodkin, M. Chernigovskaya, L. Scheffer, E. Smorodina, P. Rawat, B. B. Mehta, M. H. Vu, I. Froberg Mathisen, A. Prosz, , V. Greiff

The paper introduces Absolut!, a software suite generating synthetic antibody-antigen structures to benchmark machine learning methods for antibody specificity prediction.

bioRxiv · Jul 6, 2021Immunology