Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins

Carlos A. Gandarilla-Pérez, Sergio Pinilla, Anne-Florence Bitbol, Martin Weigt

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DOI
10.1371/journal.pcbi.1011010
Published
2023-03-30
Container
PLOS Computational Biology
Publisher
Public Library of Science (PLoS)
Open access
unknown

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BibTeX

@article{allodium:10.1371/journal.pcbi.1011010,
  title = {Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins},
  author = {Carlos A. Gandarilla-Pérez and Sergio Pinilla and Anne-Florence Bitbol and Martin Weigt},
  year = {2023},
  journal = {PLOS Computational Biology},
  doi = {10.1371/journal.pcbi.1011010},
  url = {https://doi.org/10.1371/journal.pcbi.1011010}
}

RIS

TY  - JOUR
TI  - Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins
AU  - Carlos A. Gandarilla-Pérez
AU  - Sergio Pinilla
AU  - Anne-Florence Bitbol
AU  - Martin Weigt
PY  - 2023
JO  - PLOS Computational Biology
DO  - 10.1371/journal.pcbi.1011010
UR  - https://doi.org/10.1371/journal.pcbi.1011010
ER  - 

APA

Gandarilla-Pérez, C. A., Pinilla, S., Bitbol, A., & Weigt, M. (2023). Combining phylogeny and coevolution improves the inference of interaction partners among paralogous proteins. PLOS Computational Biology. https://doi.org/10.1371/journal.pcbi.1011010

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