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AutoCoEv – a high-throughput in silico pipeline for predicting inter-protein co-evolution

View ORCID ProfilePetar B. Petrov, View ORCID ProfileLuqman O. Awoniyi, Vid Šuštar, M. Özge Balcı, View ORCID ProfilePieta K. Mattila
doi: https://doi.org/10.1101/2020.09.29.315374
Petar B. Petrov
1Institute of Biomedicine and MediCity Research Laboratories, University of Turku, Turku, Finland
2Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
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  • For correspondence: petar.petrov@utu.fi pieta.mattila@utu.fi
Luqman O. Awoniyi
1Institute of Biomedicine and MediCity Research Laboratories, University of Turku, Turku, Finland
2Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
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Vid Šuštar
2Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
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M. Özge Balcı
1Institute of Biomedicine and MediCity Research Laboratories, University of Turku, Turku, Finland
2Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
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Pieta K. Mattila
1Institute of Biomedicine and MediCity Research Laboratories, University of Turku, Turku, Finland
2Turku Bioscience, University of Turku and Åbo Akademi University, Turku, Finland
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  • For correspondence: petar.petrov@utu.fi pieta.mattila@utu.fi
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Posted March 04, 2022.
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AutoCoEv – a high-throughput in silico pipeline for predicting inter-protein co-evolution
Petar B. Petrov, Luqman O. Awoniyi, Vid Šuštar, M. Özge Balcı, Pieta K. Mattila
bioRxiv 2020.09.29.315374; doi: https://doi.org/10.1101/2020.09.29.315374
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AutoCoEv – a high-throughput in silico pipeline for predicting inter-protein co-evolution
Petar B. Petrov, Luqman O. Awoniyi, Vid Šuštar, M. Özge Balcı, Pieta K. Mattila
bioRxiv 2020.09.29.315374; doi: https://doi.org/10.1101/2020.09.29.315374

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