Evaluation of molecular target of ademol by chemoinformatic method


  • S.I. Semenenko National Pirogov Memorial Medical University, Vinnytsia, Ukraine
  • A.I. Semenenko National Pirogov Memorial Medical University, Vinnytsia, Ukraine
  • R.G. Redkin V.N. Karazin Kharkiv National University, Kharkiv, Ukraine
  • I.F. Semenenko National Pirogov Memorial Medical University, Vinnytsia, Ukraine




ademol, chemoinformatics, intracranial pressure, traumatic brain injury, blood-brain barrier


Background. Glutamate excitotoxicity and intracranial hypertension are potential targets for possible developments of pathogenetic therapy of brain lesions, in particular those associated with high intracranial pressure. The purpose of the work: using chemoinformatic methods to justify the intravenous use of ademol, to detect the ability of ademol to block β-adrenergic receptors, as well as to assess the possibility of its passage through the blood-brain barrier in terms of drug-likeness and bioavailability criteria. Materials and methods. All calculations of molecular descriptors were made using the software package SIB Swiss Institute of Bioinformatics, computing platform and Molinspiration Cheminformatics v2016.09, available online. Results. The molecular weight of ademol does not exceed 500, the average lipophilicity value calculated using software package is in the acceptable range for the above compounds. For ademol, the value of LogP is 2,736, which is higher than that of rimantadine (2,456), but lower than that of propranolol (2,967). The total polar surface area is calculated based on the methodology developed by Ertl et al. in the form of contributions of the sum of the planes of O- and N-atoms etc., as a part of the functional groups of polar fragments. To predict ademol pe-netration through the blood-brain barrier, descriptors calculated in silico were used — average lipophilicity, which appeared to be close to previously described lipophilicity coefficient in a mixture of octanol and phosphate buffer, and the total polar surface area of mo-lecules. Affinity correlation (LogKi, nM) with polarity for known β-blockers and ademol is described as a second-degree parabolic polynomial function. Conclusions. A model of affinity correlation with lipophilicity for a number of β-blockers was created and the affinity of ademol is predicted, which is close to that of high-affi-nity non-selective β-blockers.


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How to Cite

Semenenko, S., Semenenko, A., Redkin, R., & Semenenko, I. (2022). Evaluation of molecular target of ademol by chemoinformatic method. EMERGENCY MEDICINE, 17(7), 37–41. https://doi.org/10.22141/2224-0586.17.7.2021.244593



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