Polyakov, I.V.;                     Meteleshko, Y.I.;                     Mulashkina, T.I.;                     Varentsov, M.I.;                     Krinitskiy, M.A.;                     Khrenova, M.G.    
        Substrate Activation Efficiency in Active Sites of Hydrolases Determined by QM/MM Molecular Dynamics and Neural Networks. Int. J. Mol. Sci. 2025, 26, 5097.
    https://doi.org/10.3390/ijms26115097
    AMA Style
    
                                Polyakov IV,                                 Meteleshko YI,                                 Mulashkina TI,                                 Varentsov MI,                                 Krinitskiy MA,                                 Khrenova MG.        
                Substrate Activation Efficiency in Active Sites of Hydrolases Determined by QM/MM Molecular Dynamics and Neural Networks. International Journal of Molecular Sciences. 2025; 26(11):5097.
        https://doi.org/10.3390/ijms26115097
    
    Chicago/Turabian Style
    
                                Polyakov, Igor V.,                                 Yulia I. Meteleshko,                                 Tatiana I. Mulashkina,                                 Mikhail I. Varentsov,                                 Mikhail A. Krinitskiy,                                 and Maria G. Khrenova.        
                2025. "Substrate Activation Efficiency in Active Sites of Hydrolases Determined by QM/MM Molecular Dynamics and Neural Networks" International Journal of Molecular Sciences 26, no. 11: 5097.
        https://doi.org/10.3390/ijms26115097
    
    APA Style
    
                                Polyakov, I. V.,                                 Meteleshko, Y. I.,                                 Mulashkina, T. I.,                                 Varentsov, M. I.,                                 Krinitskiy, M. A.,                                 & Khrenova, M. G.        
        
        (2025). Substrate Activation Efficiency in Active Sites of Hydrolases Determined by QM/MM Molecular Dynamics and Neural Networks. International Journal of Molecular Sciences, 26(11), 5097.
        https://doi.org/10.3390/ijms26115097