Search Results - "Mozafari, Zeinab"

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  1. 1

    QSRR models for predicting the retention indices of VOCs in different datasets using an efficient variable selection method coupled with artificial neural network modeling: ANN-based QSPR modeling by Mozafari, Zeinab, Arab Chamjangali, Mansour, Arashi, Mohammad, Goudarzi, Nasser

    Published in Journal of the Iranian Chemical Society (01-06-2022)
    “…A combination of the smoothly clipped absolute deviation (SCAD) method and the artificial neural network (ANN) was utilized as a novel methodology (SCAD-ANN)…”
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    Journal Article
  2. 2

    Synthesis, and molecular docking studies of novel 1,2,3-triazoles-linked pyrazole carboxamides as significant anti-microbial and anti-cancer agents by Tamardash, Leila Kamrani, Bakherad, Mohammad, Bakherad, Hamid, Jalali, Fatemeh, Mozafari, Zeinab, Keivanloo, Ali

    Published in Results in Chemistry (01-10-2024)
    “…[Display omitted] •A series of substituted novel 1,2,3-triazoles-linked pyrazole carboxamide were synthesized and characterized.•Compound 7a showed the most…”
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  3. 3

    Combination of radial distribution functions as structural descriptors with ligand-receptor interaction information in the QSAR study of some 4-anilinoquinazoline derivatives as potent EGFR inhibitors by Beglari, Mozhgan, Goudarzi, Nasser, Shahsavani, Davood, Arab Chamjangali, Mansour, Mozafari, Zeinab

    Published in Structural chemistry (01-08-2020)
    “…In this paper, we report the use of a mixture of radial distribution functions (RDFs) and molecular docking descriptors (MDDs), as a new group of descriptors,…”
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  4. 4

    Application of the LAD-LASSO as a dimensional reduction technique in the ANN-based QSAR study: Discovery of potent inhibitors using molecular docking simulation by Mozafari, Zeinab, Chamjangali, Mansour Arab, Arashi, Mohammad, Goudarzi, Nasser

    “…In this study, the combination of the least absolute deviation-least absolute shrinkage and selection operator (LAD-LASSO) was introduced as a new variable…”
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  5. 5

    Combination of least absolute shrinkage and selection operator with Bayesian Regularization artificial neural network (LASSO-BR-ANN) for QSAR studies using functional group and molecular docking mixed descriptors by Mozafari, Zeinab, Arab Chamjangali, Mansour, Arashi, Mohammad

    “…A combination of least absolute shrinkage and selection operator (LASSO) with Bayesian Regularization feed-forward artificial neural network (LASSO-BR-ANN) was…”
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  6. 6

    The efficiency of ligand–receptor interaction information alone as new descriptors in QSAR modeling via random forest artificial neural network by Mozafari, Zeinab, Arab Chamjangali, Mansour, Beglari, Mozhgan, Doosti, Rahele

    Published in Chemical biology & drug design (01-08-2020)
    “…A new approach is introduced for the construction of a predictive quantitative structure–activity relationship model in which only ligand–receptor (LR)…”
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  7. 7

    Performance of smoothly clipped absolute deviation as a variable selection method in the artificial neural network‐based QSAR studies by Mozafari, Zeinab, Arab Chamjangali, Mansour, Arashi, Mohammad, Goudarzi, Nasser

    Published in Journal of chemometrics (01-05-2021)
    “…A hybrid of smoothly clipped absolute deviation (SCAD) and Levenberg‐ Marquardt artificial neural network (LM‐ANN) was used as an efficient approach…”
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  10. 10

    Transition Metal Complexes of α-Keto Stabilized Sulfonium Ylides: Linear in Contrast to Bridging Structure in Silver(I) Complexes by Sabounchei, Seyyed Javad, Mozafari, Zeinab, Akhlaghi Bagherjeri, Fateme, Khavasi, Hamid Reza

    “…The reactions of α-keto stabilized sulfonium ylide (Me) 2 SCHC(O)C 6 H 4 ‒m‒NO 2 (Y 1 ) with HgX 2 [X˭Cl (1), Br (2) and I (3)] in equimolar ratios and CdCl 2…”
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  11. 11

    Transition Metal Complexes of [alpha]-Keto Stabilized Sulfonium Ylides: Linear in Contrast to Bridging Structure in Silver(I) Complexes by Sabounchei, Seyyed Javad, Mozafari, Zeinab, Akhlaghi Bagherjeri, Fateme, Khavasi, Hamid Reza

    “…The reactions of α-keto stabilized sulfonium ylide (Me)2SCHC(O)C6H4-m-NO2 (Y1) with HgX2 [X=Cl (1), Br (2) and I (3)] in equimolar ratios and CdCl2.H2O (4) in…”
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