Diégina Araújo Fernandes, Ayala Nara Pereira Gomes, Camila Macaubas da Silva, Isabelly Soares de Medeiros Henriques, Renata Priscila Barros de Menezes, Marcus Tullius Scotti, Yanna Carolina Ferreira Teles, RuAngelie Edrada-Ebel and Maria de Fatima Vanderlei de Souza* Pages 4138 - 4159 ( 22 )
Background: Thrombosis is one of the major causes of morbidity and mortality in a wide range of vessel diseases. Several studies have been conducted to identify antithrombotic agents from medicinal plants, and phenolic compounds (PCs) have been shown to effectively inhibit plasma coagulation and platelet aggregation.
Objectives: This study aimed to conduct a survey of the natural PCs with proven antithrombotic and antiplatelet activities, as well as to evaluate by computational modeling the physicochemical and toxicological properties of these compounds using drug-likeness approaches.
Methods: The data were collected from the scientific database: ‘Web of Science’, ‘Scifinder’, ‘Pubmed’, ‘ScienceDirect’ and ‘Google Scholar’, the different classes of PCs with antithrombotic or antiplatelet effects were used as keywords. These molecules were also evaluated for their Drug-Likeness properties and toxicity to verify their profile for being candidates for new antithrombotic drugs.
Results: In this review, it was possible to register 85 lignans, 73 flavonoids, 28 coumarins, 21 quinones, 23 phenolic acids, 8 xanthones and 8 simple phenols. Activity records for tannins were not found in the researched databases. Of these 246 compounds, 213 did not violate any of Lipinski's rules of five, of which 125 (59%) showed non-toxicity, being promising candidates for new potential antithrombotic drugs.
Conclusion: This review arouses interest in the isolation of phenolic compounds that may allow a new approach for the prevention of both arterial and venous thrombosis, with the potential to become alternatives in the prevention and treatment of cardiovascular diseases.
Phenolic compounds, anticoagulant, antiplatelet, antithrombotic, drug-likeness, bioinformatics.