Author

J. Krog

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

Evolutionary Biology· 1 Immunology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 2 Research Focus:host-pathogen & immune response· 2 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein folding & dynamics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

A. M. Deutschbauer· 1 shared A. P. Arkin· 1 shared B. A. Adler· 1 shared B. Carter· 1 shared D. K. Gifford· 1 shared G. Balazsi· 1 shared H. Carion· 1 shared K. Chamakura· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 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 paperMicrobiology

A. M. Deutschbauer

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Machine learning model interpretations explain T cell receptor binding

B. Carter, J. Krog, M. E. Birnbaum, D. K. Gifford

The paper uses machine learning to predict TCR-pMHC binding and identifies sequence features associated with binding affinity.

bioRxiv · Aug 15, 2023 · PreprintImmunology

Parallel multicopy-suppressor screens reveal convergent evolution of phage-encoded single gene lysis proteins

B. A. Adler, K. Chamakura, H. Carion, J. Krog, A. M. Deutschbauer, R. F. Young, V. K. Mutalik, A. P. Arkin

The paper identifies host suppressors of phage-encoded single gene lysis proteins, revealing convergent evolution and common mechanisms across diverse phages.

bioRxiv · Jan 20, 2022 · PreprintMicrobiology

Optimality of the spontaneous prophage induction rate

M. G. Cortes, J. Krog, G. Balazsi

The paper models the evolutionary dynamics of lysogens and nonlysogens to show there is an optimal spontaneous prophage induction rate that benefits lysogens.

bioRxiv · Feb 11, 2019Evolutionary Biology