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Abstract

3D and 4D-QSAR of Dopamine Transporter Inhibitors (DAT) Using the LQTA-QSAR Approach †

by
Eduardo Borges de Melo
1,*,
Aline Thais Bruni
2,3 and
João Paulo Ataide Martins
4
1
Laboratório de Química Medicinal e Ambiental Teórica (LQMAT), UNIOESTE, campus Cascavel, PR. CCMF/Rua Universitária, 2069, PR 85819-110 Cascavel, Brazil
2
Departamento de Química, FFCLRP, USP/RP, Av. Bandeirantes, 3900, SP 14040-901 Ribeirão Preto, Brazil
3
Instituto Nacional de Ciência e Tecnologia Forense (INCT Forense), SP 14040-901 Ribeirão Preto, Brazil
4
Departamento de Química—Instituto de Ciências Exatas (DQ-ICEx), Av. Antônio Carlos 6627, MG 31270-090 Belo Horizonte, Brazil
*
Author to whom correspondence should be addressed.
Presented at the 2nd Molecules Medicinal Chemistry Symposium (MMCS): Facing Novel Challenges in Drug Discovery, Barcelona, Spain, 15–17 May 2019.
Proceedings 2019, 22(1), 112; https://doi.org/10.3390/proceedings2019022112
Published: 4 December 2019
At present, drug abuse has developed into a social problem and begun to demand specific measures from different social sectors and government agencies all over the world. Despite significant efforts, the development of pharmacotherapeutic treatments of psychostimulant abuse has remained a challenge so far. Using 49 2-[(diphenylmethyl)sulfanyl]ethanamines described as dopamine transporter (DAT) inhibitors, 3D and 4D-QSAR studies were performed using the LQTA-QSAR approach. This method, initially created for the construction of models based on conformational sampling profiles obtained by molecular dynamics, has been adapted to allow studies based on only a single optimized geometry. In both studies, Coulomb and Lennard-Jones descriptors were used, which were generated with the NH3+ probe atom. The variable selection was carried out using the ordered predictors selection (OPS) method in the free QSAR modeling program. Both regression models were constructed using PLS. The models were formed by two latent variables, which in turn were constructed based on five Coulomb and six Lennard-Jones descriptors in both cases. These results appear to be related to the presence of hydrophobic and polar amino acid residues at the binding site. The overall test indicated that the 3D model (Average r2m overall = 0.849, Delta r2m overall = 0.082) is slightly superior to the 4D model (Average r2m overall = 0.762, Delta r2m overall = 0.129). To test the models for purposes of prediction, a virtual screening based on 2D similarity (Dice 60%) was performed in the ZINC15 Database, and 12 compounds were selected. The Euclidean applicability domain test showed that all compounds presented a normalized mean distance inferior to 1. On the other hand, the PRI test indicated that predictions by both models can be considered moderate, an adequate result considering that all compounds selected in the VS are structurally related to the data set but do not present a test for the inhibition of the DAT described in literature.

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MDPI and ACS Style

Melo, E.B.d.; Bruni, A.T.; Martins, J.P.A. 3D and 4D-QSAR of Dopamine Transporter Inhibitors (DAT) Using the LQTA-QSAR Approach. Proceedings 2019, 22, 112. https://doi.org/10.3390/proceedings2019022112

AMA Style

Melo EBd, Bruni AT, Martins JPA. 3D and 4D-QSAR of Dopamine Transporter Inhibitors (DAT) Using the LQTA-QSAR Approach. Proceedings. 2019; 22(1):112. https://doi.org/10.3390/proceedings2019022112

Chicago/Turabian Style

Melo, Eduardo Borges de, Aline Thais Bruni, and João Paulo Ataide Martins. 2019. "3D and 4D-QSAR of Dopamine Transporter Inhibitors (DAT) Using the LQTA-QSAR Approach" Proceedings 22, no. 1: 112. https://doi.org/10.3390/proceedings2019022112

APA Style

Melo, E. B. d., Bruni, A. T., & Martins, J. P. A. (2019). 3D and 4D-QSAR of Dopamine Transporter Inhibitors (DAT) Using the LQTA-QSAR Approach. Proceedings, 22(1), 112. https://doi.org/10.3390/proceedings2019022112

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