Cover Image

QSAR Studies and Structure Property/Activity Relationships Applied in Pyrazine Derivatives as Antiproliferative Agents Against the BGC823

Fatima Soualmia, Salah Belaidi, Noureddine Tchouar, Touhami Lanez, Samia Boudergua, Touhami Lanez, Samia Boudergua

Abstract


Electronic structures, the effect of the substitution, structure physicochemical property/activity relationships and drug-likeness applied in pyrazine derivatives, have been studied at ab initio (HF, MP2) and B3LYP/DFT (density functional theory) levels. In the paper, the calculated values, i.e., NBO (natural bond orbitals) charges, bond lengths, dipole moments, electron affinities, heats of formation and quantitative structure-activity relationships (QSAR) properties are presented. For the QSAR studies, we used multiple linear regression (MLR) and artificial neural network (ANN) statistical modeling. The results show a high correlation between experimental and predicted activity values, indicating the validation and the good quality of the derived QSAR models. In addition, statistical analysis reveals that the ANN technique with (9-4-1) architecture is more significant than the MLR model. The virtual screening based on the molecular similarity method and applicability domain of QSAR allowed the discovery of novel anti-proliferative activity candidates with improved activity.


Keywords


Pyrazine; DFT;, QSAR; MLR; ANN

Full Text:

PDF


DOI: http://dx.doi.org/10.17344/acsi.2021.6875

Refbacks

  • There are currently no refbacks.


Copyright (c) 2020 Salah BELAIDI

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.