Development of novel antipsychotic agents by inhibiting dopamine transporter – in silico approach

2022 ◽  
Author(s):  
Vladimir Đorđević ◽  
Srđan Pešić ◽  
Jelena Vladeta Zivkovic ◽  
Goran M Nikolić ◽  
Aleksandar M Veselinović

Dopamine transporter inhibition is deemed a promising schizophrenia treatment approach. This research paper outlines various QSAR modeling for molecules acting as dopamine transporter inhibitors. The SMILES notation and the local...

2021 ◽  
Author(s):  
Velimir Perić ◽  
Mladjan Golubović ◽  
Milan Lazarević ◽  
Vesna Marjanović ◽  
Tomislav Kostić ◽  
...  

The sigma 1 receptor antagonism is deemed a promising pain treatment approach. The research paper outlines conformational-independent QSAR modeling for a range of compounds which serve as sigma 1 receptor...


2021 ◽  
Author(s):  
Marco Niello ◽  
Spyridon Sideromenos ◽  
Ralph Gradisch ◽  
Ronan O'Shea ◽  
Jakob Schwazer ◽  
...  

Abstract α-Pyrrolidinovalerophenone (αPVP) is a psychostimulant and drug of abuse associated with severe intoxications in humans. αPVP exerts long-lasting psychostimulant effects, when compared to the classical dopamine transporter (DAT) inhibitor cocaine. Here, we compared the two enantiomeric forms of αPVP, the R- and the S-αPVP, with cocaine using a combination of in silico, in vitro and in vivo approaches. We found that αPVP enantiomers substantially differ from cocaine in their binding kinetics. The two enantiomers differ from each other in their association rates. However, they show similar slow dissociation rates leading to pseudo-irreversible binding kinetics at DAT. The pseudo-irreversible binding kinetics of αPVP is responsible for the observed non-competitive pharmacology and it correlates with persistent psychostimulant effects in mice. Thus, the slow binding kinetics of αPVP enantiomers profoundly differ from the fast kinetics of cocaine both in vitro and in vivo, suggesting drug-binding kinetics as a potential driver of psychostimulant effects in vivo.


2019 ◽  
Vol 1193 ◽  
pp. 223-230 ◽  
Author(s):  
Haiqiong Guo ◽  
Yuxuan Wang ◽  
Qingxiu He ◽  
Yuping Zhang ◽  
Yong Hu ◽  
...  

2020 ◽  
Vol 3 (4) ◽  
pp. 979-988 ◽  
Author(s):  
Sabitu Babatunde Olasupo ◽  
Adamu Uzairu ◽  
Gideon Shallangwa Adamu ◽  
Sani Uba

2020 ◽  
Vol 44 (17) ◽  
pp. 6923-6931 ◽  
Author(s):  
Maja Zivkovic ◽  
Marko Zlatanovic ◽  
Nevena Zlatanovic ◽  
Jasmina Djordjevic Jocic ◽  
Mladjan Golubović ◽  
...  

QSAR modeling with computer-aided drug design were used for the in silico development of novel therapeutics for glaucoma treatment.


2007 ◽  
Vol 6 (1) ◽  
pp. 97-106 ◽  
Author(s):  
R. Maiya ◽  
I. Ponomarev ◽  
K. D. Linse ◽  
R. A. Harris ◽  
R. D. Mayfield

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