Abstract
Abstract: Acetamides are building blocks for the synthesis of compounds containing pharmacophores in their structure, manifesting a diverse range of biological activity. The drugs based on these substances possess antidiabetic effect and inhibit blood coagulation. Some of them act as chemosensitizers (i.e., cancer cell inhibitors). However, the full potential of these compounds remains to be fully accomplished. In a previous study, we synthesised acetamides with the RCONHCH (R´) CCl3 general formula (where R = CH3, CH2Cl; R´ = C6H5, C6H4CH3, C6H4OCH3, C6H4OH) and studied their acid-base behaviour. The NH-acidity of the studied acetamides is controlled by the polar effects of substituents. In this paper, the potential biological activity of the previously obtained acetamides is calculated, and the dependence of their biological potential on the NH-acidity values is elucidated. Prediction of biological activity was carried out using the PASS software. An analysis of the types of biological activity occurring in all compounds allowed us to determine a linear dependence between the probability of biological potential and the value of dissociation constant.
Highlights
Acetamids are one of the most important compound classes from the chemical point of view
Acetamids are а part of drugs with diabetic inhibitor[1], coagulation factor inhibitor [1] and some of them are blockers for the cancer cells [2, 3]
PASS is a software product designed as a tool for evaluating the general biological potential of an organic drug-like molecule
Summary
Acetamids are one of the most important compound classes from the chemical point of view They are a building material for creating compounds which contains several pharmacophore groups in their structure. Acetamids exhibit anticonvulsant [4], antiviral [5], analgesic [6] and insecticides [7] activities The possibilities of these compounds are not fully understood. PASS is a software product designed as a tool for evaluating the general biological potential of an organic drug-like molecule. This program predicts a lot of types of biological activities based on the organic compounds structure [12, 13]
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