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1.
Eur J Med Chem ; 150: 920-929, 2018 Apr 25.
Article in English | MEDLINE | ID: mdl-29602038

ABSTRACT

Leishmaniasis is a group of infectious neglected tropical diseases caused by more than 20 pathogenic species of Leishmania sp. Due to the limitations of the current treatments available, chalcone moiety has been drawn with a lot of attention due to the simple chemistry and synthesis, being reported with antileishmanial activity in particular against amastigote form. This review aims to provide an overview towards antileishmanial activity of chalcones derivatives against amastigote form for Leishmania major, L. amazonensis, L. panamensis, L. donovani and L. infantum as well as their structure-activity relationship (SAR), molecular targets and in silico ADMET evaluation. In this way, it is expected that this review may support the research and development of new promising chalcones candidates a leishmanicidal drugs.


Subject(s)
Antiprotozoal Agents/pharmacology , Chalcone/pharmacology , Leishmania/drug effects , Antiprotozoal Agents/chemical synthesis , Antiprotozoal Agents/chemistry , Chalcone/chemical synthesis , Chalcone/chemistry , Dose-Response Relationship, Drug , Drug Design , Humans , Molecular Structure , Parasitic Sensitivity Tests , Structure-Activity Relationship
2.
Molecules ; 17(8): 9529-39, 2012 Aug 09.
Article in English | MEDLINE | ID: mdl-22878227

ABSTRACT

Hologram QSAR models were developed for a series of 36 inhibitors (29 training set and seven test set compounds) of acetyl/butyrylcholinesterase (AChE/BChE) enzymes, an attractive molecular target for Alzheimer's disease (AD) treatment. The HQSAR models (N = 29) exhibited significant cross-validated (AChE, q2 = 0.787; BChE, q2 = 0. 904) and non-cross-validated (AChE, r2 = 0.965; BChE, r2= 0.952) correlation coefficients. The models were used to predict the inhibitory potencies of the test set compounds, and agreement between the experimental and predicted values was verified, exhibiting a powerful predictive capability. Contribution maps show that structural fragments containing aromatic moieties and long side chains increase potency. Both the HQSAR models and the contribution maps should be useful for the further design of novel, structurally related cholinesterase inhibitors.


Subject(s)
Acetylcholinesterase , Butyrylcholinesterase , Cholinesterase Inhibitors/chemistry , Holography , Phenol/chemistry , Quantitative Structure-Activity Relationship , Acetylcholinesterase/metabolism , Butyrylcholinesterase/metabolism , Cholinesterase Inhibitors/pharmacology , Humans , Models, Molecular , Phenol/pharmacology
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