Chemometric methods in antimalarial drug design from 1,2,4,5-tetraoxanes analogues
A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and SIMCA) in order to calculate the properties and correlate them with antimalarial activity (log RA) against Plasmodium falciparum clone D-6 from S...
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Published in | SAR and QSAR in environmental research Vol. 31; no. 9; pp. 677 - 695 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
01.09.2020
Taylor & Francis Ltd |
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Online Access | Get full text |
ISSN | 1062-936X 1029-046X 1029-046X |
DOI | 10.1080/1062936X.2020.1803961 |
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Abstract | A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and SIMCA) in order to calculate the properties and correlate them with antimalarial activity (log RA) against Plasmodium falciparum clone D-6 from Sierra Leone. PCA results indicated 99.94% of the total variance and it was possible to divide the compounds into two classes: less and more active. Descriptors responsible for separating were: highest occupied molecular orbital energy (HOMO), bond length (O1-O2), Mulliken electronegativity (χ) and Bond information content (BIC0). We use HCA, KNN and SIMCA to explain relationships between molecular properties and biological activity of a training set and to predict antimalarial activity (log RA) of 13 compounds (#24-36) with unknown biological activity. We apply molecular docking simulations to identify intermolecular interactions with a selected biological target. The results obtained in multivariate analysis aided in the understanding of the activity of the new compound's design (#24-36). Thus, through chemometric analyses and docking molecular study, we propose theoretical synthetic routes for the most promising compounds 28, 30, 32 and 36 that can proceed to synthesis steps and in vitro and in vivo assays. |
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AbstractList | A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and SIMCA) in order to calculate the properties and correlate them with antimalarial activity (log RA) against Plasmodium falciparum clone D-6 from Sierra Leone. PCA results indicated 99.94% of the total variance and it was possible to divide the compounds into two classes: less and more active. Descriptors responsible for separating were: highest occupied molecular orbital energy (HOMO), bond length (O1-O2), Mulliken electronegativity (χ) and Bond information content (BIC0). We use HCA, KNN and SIMCA to explain relationships between molecular properties and biological activity of a training set and to predict antimalarial activity (log RA) of 13 compounds (#24-36) with unknown biological activity. We apply molecular docking simulations to identify intermolecular interactions with a selected biological target. The results obtained in multivariate analysis aided in the understanding of the activity of the new compound's design (#24-36). Thus, through chemometric analyses and docking molecular study, we propose theoretical synthetic routes for the most promising compounds 28, 30, 32 and 36 that can proceed to synthesis steps and in vitro and in vivo assays. A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and SIMCA) in order to calculate the properties and correlate them with antimalarial activity (log RA) against Plasmodium falciparum clone D-6 from Sierra Leone. PCA results indicated 99.94% of the total variance and it was possible to divide the compounds into two classes: less and more active. Descriptors responsible for separating were: highest occupied molecular orbital energy (HOMO), bond length (O1-O2), Mulliken electronegativity (χ) and Bond information content (BIC0). We use HCA, KNN and SIMCA to explain relationships between molecular properties and biological activity of a training set and to predict antimalarial activity (log RA) of 13 compounds (#24-36) with unknown biological activity. We apply molecular docking simulations to identify intermolecular interactions with a selected biological target. The results obtained in multivariate analysis aided in the understanding of the activity of the new compound's design (#24-36). Thus, through chemometric analyses and docking molecular study, we propose theoretical synthetic routes for the most promising compounds 28, 30, 32 and 36 that can proceed to synthesis steps and in vitro and in vivo assays.A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and SIMCA) in order to calculate the properties and correlate them with antimalarial activity (log RA) against Plasmodium falciparum clone D-6 from Sierra Leone. PCA results indicated 99.94% of the total variance and it was possible to divide the compounds into two classes: less and more active. Descriptors responsible for separating were: highest occupied molecular orbital energy (HOMO), bond length (O1-O2), Mulliken electronegativity (χ) and Bond information content (BIC0). We use HCA, KNN and SIMCA to explain relationships between molecular properties and biological activity of a training set and to predict antimalarial activity (log RA) of 13 compounds (#24-36) with unknown biological activity. We apply molecular docking simulations to identify intermolecular interactions with a selected biological target. The results obtained in multivariate analysis aided in the understanding of the activity of the new compound's design (#24-36). Thus, through chemometric analyses and docking molecular study, we propose theoretical synthetic routes for the most promising compounds 28, 30, 32 and 36 that can proceed to synthesis steps and in vitro and in vivo assays. A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and SIMCA) in order to calculate the properties and correlate them with antimalarial activity (log RA) against Plasmodium falciparum clone D-6 from Sierra Leone. PCA results indicated 99.94% of the total variance and it was possible to divide the compounds into two classes: less and more active. Descriptors responsible for separating were: highest occupied molecular orbital energy (HOMO), bond length (O1-O2), Mulliken electronegativity (χ) and Bond information content (BIC0). We use HCA, KNN and SIMCA to explain relationships between molecular properties and biological activity of a training set and to predict antimalarial activity (log RA) of 13 compounds (#24-36) with unknown biological activity. We apply molecular docking simulations to identify intermolecular interactions with a selected biological target. The results obtained in multivariate analysis aided in the understanding of the activity of the new compound's design (#24-36). Thus, through chemometric analyses and docking molecular study, we propose theoretical synthetic routes for the most promising compounds 28, 30, 32 and 36 that can proceed to synthesis steps and in vitro and in vivo assays. |
Author | Costa, E.B. Macêdo, W.J.C. Cruz, J.N. Neto, M.F. de A. Silva, R.C. Leite, F.H.A. Silva, C.H.T.P. Espejo-Román, J.M. Pinheiro, J.C. Santos, C.B.R. |
Author_xml | – sequence: 1 givenname: E.B. orcidid: 0000-0003-4870-1642 surname: Costa fullname: Costa, E.B. organization: Universidade Federal do Pará – sequence: 2 givenname: R.C. orcidid: 0000-0003-1774-4164 surname: Silva fullname: Silva, R.C. organization: Universidade Federal do Amapá – sequence: 3 givenname: J.M. orcidid: 0000-0002-3231-1095 surname: Espejo-Román fullname: Espejo-Román, J.M. organization: University of Granada – sequence: 4 givenname: M.F. de A. orcidid: 0000-0001-8143-0632 surname: Neto fullname: Neto, M.F. de A. organization: Universidade Estadual de Feira de Santana – sequence: 5 givenname: J.N. orcidid: 0000-0003-0529-3714 surname: Cruz fullname: Cruz, J.N. organization: Universidade Federal do Amapá – sequence: 6 givenname: F.H.A. orcidid: 0000-0003-3166-6051 surname: Leite fullname: Leite, F.H.A. organization: Universidade Estadual de Feira de Santana – sequence: 7 givenname: C.H.T.P. orcidid: 0000-0001-6049-3650 surname: Silva fullname: Silva, C.H.T.P. organization: Universidade de São Paulo – sequence: 8 givenname: J.C. surname: Pinheiro fullname: Pinheiro, J.C. organization: Universidade Federal do Pará – sequence: 9 givenname: W.J.C. orcidid: 0000-0002-0457-6993 surname: Macêdo fullname: Macêdo, W.J.C. organization: Universidade Federal Rural da Amazônia - Campus Capanema – sequence: 10 givenname: C.B.R. orcidid: 0000-0002-0271-335X surname: Santos fullname: Santos, C.B.R. email: breno@unifap.br organization: Universidade Federal Rural da Amazônia - Campus Capanema |
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Snippet | A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and... A set of 23 steroidal 1,2,4,5-tetraoxane analogues were studied using quantum-chemical method (B3LYP/6-31 G*) and multivariate analyses (PCA, HCA, KNN and... |
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SubjectTerms | Antimalarial activity Antimalarial agents B3LYP/6-31G Biological activity Biological effects Biological properties Drug development Electronegativity Molecular docking Molecular orbitals Multivariate analysis Quantum chemistry SAR |
Title | Chemometric methods in antimalarial drug design from 1,2,4,5-tetraoxanes analogues |
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