Combination of network and molecule structure accurately predicts competitive 
inhibitory interactions

Razaghi-Moghadam, Z.; Sokolowska, E.; Sowa, M.A.; Skirycz, A.; Nikoloski, Z.

doi:10.1016/j.csbj.2021.04.012

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Combination of network and molecule structure accurately predicts competitive inhibitory interactions

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Razaghi-Moghadam, Z.
Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Sokolowska, E.
Small-Molecule Signalling, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Skirycz, A.
Small-Molecule Signalling, Department Willmitzer, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Nikoloski, Z.
Mathematical Modelling and Systems Biology - Nikoloski, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Razaghi-Moghadam, Z., Sokolowska, E., Sowa, M., Skirycz, A., & Nikoloski, Z. (2021). Combination of network and molecule structure accurately predicts competitive inhibitory interactions. Computational and Structural Biotechnology Journal, 19, 2170-2178. doi:10.1016/j.csbj.2021.04.012.

Cite as: https://hdl.handle.net/21.11116/0000-0008-FADB-8

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