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

doi:10.1101/2020.09.29.315374

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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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ORCID record for Petar B. Petrov
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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ORCID record for Pieta K. Mattila
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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