Abstract
The manuscript describes a method for understanding the correlation of structural features and first oxidation potentials \(\left({E}_{ox}^{1}\right)\) of electron-donating compounds (EDCs) with tetrathiafulvalene (TTF), dithiadiazafulvalenes (DTDAF), and tetraazafulvalene (TAF) frameworks. The density functional theory (DFT) procedure at B3LYP (6–31 + g(d)) was used for geometric optimization, given the large dimensions of the molecules studied, and their high structural similarity. First of all, the correlation between the oxidation potential and the highest occupied molecular orbital (HOMO) energy level as an effective quantum chemical descriptor was examined. Then, nucleus-independent chemical shifts (NICSs) calculation was applied to affirm the oxidation mechanism and interpret the effect of replacing the sulfur atoms by nitrogen, on the oxidation process. Finally, a more comprehensive investigation of structural features that affect the oxidation potential, topological, geometrical, constitutional, as well as, electrostatic, charged partial surface area, quantum-chemical, molecular orbital, and thermodynamic descriptors was calculated. A predictive model was developed based on the genetic algorithm multivariate linear regression (GA-MLR). There was an outstanding agreement between the theoretical and the experimental values obtained for the first oxidation potentials of the test set (Q2Ext = 0.981).
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Murphy JA, Khan TA, Zhou SZ, Thomson DW, Mahesh M (2005) Highly efficient reduction of unactivated aryl and alkyl iodides by a ground-state neutral organic electron donor. Angew Chem, Int Ed Engl 44:1356–1360. https://doi.org/10.1002/anie.200462038
Finley KT (1964) The acyloin condensation as a cyclization method. Chem Rev 64:573–589. https://doi.org/10.1021/cr60231a004
Wudl F, Smith GM, Hufnagel EJ (1970) Bis-1,3-dithiolium chloride: an unusually stable organic radical cation. J Chem Soc, Chem Commun 21:1453–1454. https://doi.org/10.1039/C29700001453
Tormos GV, Bakker MG, Wang P, Lakshmikantham MV, Cava MP, Metzger RM (1995) Dithiadiazafulvalenes-new strong electron donors. Synthesis, Isolation, Properties, and EPR Studies. J Am Chem Soc 117:8528–8535. https://doi.org/10.1021/ja00138a006
Thummel RP, Goulle V, Chen B (1989) Bridged derivatives of 2,2’-biimidazole. J Org Chem 54:3057–3061. https://doi.org/10.1021/jo00274a019
Ferraris J, Cowan DO, Walatka V, Perlstein JH (1973) Electron transfer in a new highly conducting donor-acceptor complex. J Am Chem Soc 95:948–949. https://doi.org/10.1021/ja00784a066
Coleman LB, Cohen MJ, Sandman DJ, Yamagishi FG, Garito AF, Heeger AJ (1973) Superconducting fluctuations and the peierls instability in an organic solid. Solid State Commun 12:1125–1132. https://doi.org/10.1016/0038-1098(73)90127-0
Pourbasheer E, Vahdani S, Aalizadeh R, Banaei A, Ganjali MR (2015) QSAR study of prolylcarboxypeptidase inhibitors by genetic algorithm: multiple linear regressions. J Chem Sci 127:1243–1251. https://doi.org/10.1007/s12039-015-0893-z
Pourbasheer E, Banaei A, Aalizadeh R, Ganjali MR, Norouzi P, Shadmanesh J, Methenitis C (2015) Prediction of PCE of fullerene (C-60) derivatives as polymer solar cell acceptors by genetic algorithm-multiple linear regression. J Ind Eng Chem 21:1058–1067. https://doi.org/10.1016/j.jiec.2014.05.016
Pourbasheer E, Aalizadeh R, Ganjali MR, Norouzi P (2015) Prediction of superoxide quenching activity of fullerene (C-60) derivatives by genetic algorithm-support vector machine. Fullerenes Nanotubes Carbon Nanostruct 23:290–299. https://doi.org/10.1080/1536383x.2013.798728
Rafiei H, Khanzadeh M, Mozaffari S, Bostanifar MH, Avval ZM, Aalizadeh R, Pourbasheer E (2016) QSAR study of HCV NS5B polymerase inhibitors using the genetic algorithm-multiple linear regression (GA-MLR). Excli J 15:38–53. https://doi.org/10.17179/excli2015-731
Beheshti A, Pourbasheer E, Nekoei M, Vahdani S (2016) QSAR modeling of antimalarial activity of urea derivatives using genetic algorithm-multiple linear regressions. J Saudi Chem Soc 20:282–290. https://doi.org/10.1016/j.jscs.2012.07.019
Pourbasheer E, Aalizadeh R, Ebadi A, Ganjali MR (2015) 3D-QSAR Analysis of MCD inhibitors by CoMFA and CoMSIA. Comb Chem High Throughput Screening 18:751–766. https://doi.org/10.2174/1386207318666150803141738
Pourbasheer E, Aalizadeh R, Tabar SS, Ganjali MR, Norouzi P, Shadmanesh J (2014) 2D and 3D quantitative structure activity relationship study of hepatitis C virus NS5B polymerase inhibitors by comparative molecular field analysis and comparative molecular similarity indices analysis methods. J Chem Inf Model 54:2902–2914. https://doi.org/10.1021/ci500216c
Riahi S, Ganjali MR, Norouzi P, Jafari F (2008) Application of GA-MLR, GA-PLS and the DFT quantum mechanical (QM) calculations for the prediction of the selectivity coefficients of a histamine-selective electrode. Sens Actuators B 132:13–19. https://doi.org/10.1016/j.snb.2008.01.009
Pourbasheer E, Aalizadeh R, Ganjali MR (2019) QSAR study of CK2 inhibitors by GA-MLR and GA-SVM methods. Arab J Chem 12:2141–2149. https://doi.org/10.1016/j.arabjc.2014.12.021
Pourbasheer E, Aalizadeh R, Ganjali MR, Norouzi P (2014) QSAR study of alpha 1 beta 4 integrin inhibitors by GA-MLR and GA-SVM methods. Struct Chem 25:355–370. https://doi.org/10.1007/s11224-013-0300-7
Paukku Y, Hill G (2011) Theoretical determination of one-electron redox potentials for DNA bases, base pairs, and stacks. J Phys Chem A 115:4804–4810. https://doi.org/10.1021/jp201281t
Galstyan A, Knapp EW (2009) Accurate redox potentials of mononuclear iron, manganese, and nickel model complexes. J Comput Chem 30:203–211. https://doi.org/10.1002/jcc.21029
Phillips KL, Sandler SI, Chiu PC (2011) A method to calculate the one-electron reduction potentials for nitroaromatic compounds based on gas-phase quantum mechanics. J Comput Chem 32:226–239. https://doi.org/10.1002/jcc.21608
Beheshti A, Riahi S, Ganjali MR (2009) Quantitative structure-property relationship study on first reduction and oxidation potentials of donor-substituted phenylquinolinylethynes and phenylisoquinolinylethynes: Quantum chemical investigation. Electrochim Acta 54:5368–5375. https://doi.org/10.1016/j.electacta.2009.04.020
Shamsipur M, Siroueinejad A, Hemmateenejad B, Abbaspour A, Sharghi H, Alizadeh K, Arshadi S (2007) Cyclic voltammetric, computational, and quantitative structure-electrochemistry relationship studies of the reduction of several 9,10-anthraquinone derivatives. J Electroanal Chem 600:345–358. https://doi.org/10.1016/j.jelechem.2006.09.006
Toropov A, Nesmerak K, Raska I Jr, Waisser K, Palat K (2006) QSPR modeling of the half-wave potentials of benzoxazines by optimal descriptors calculated with the SMILES. Comput Biol Chem 30:434–437. https://doi.org/10.1016/j.compbiolchem.2006.09.003
Schmidt MW, Baldridge KK, Boatz JA, Elbert ST, Gordon MS, Jensen JH, Montgomery JA Jr (1993) General atomic and molecular electronic structure system. J Comput Chem 14:1347–1363. https://doi.org/10.1002/jcc.540141112
Bordwell FG, Satish AV (1991) Acidities of C2 hydrogen atoms in thiazolium cations and reactivities of their conjugate bases. J Am Chem Soc 113:985–990. https://doi.org/10.1021/ja00003a036
Bellec N, Guerin DJ, Lorcy D, Robert A, Carlier R, Tallec A, Shono T, Toftlund H (1999) Chemical and electrochemical investigations on thiazolium salts: a route to powerful donors in the dithiadiazafulvalene series. Acta Chem Scand 53:861–866. 103891/ACTACHEMSCAND53–0861
Guerin D, Carlier R, Guerro M, Lorcy D (2003) Crown-ether annelated dithiadiazafulvalenes. Tetrahedron 59:5273–5278. https://doi.org/10.1016/s0040-4020(03)00767-1
Bellec N, Lorcy D, Robert A, Carlier R, Tallec A (1999) Cathodic synthesis of powerful electron pi-donors including dithiadiazafulvalenes. J Electroanal Chem 462:137–142. https://doi.org/10.1016/s0022-0728(98)00396-9
Hünig S, Scheutzow D, Schlaf H (1973) Über zweistufige Redoxsysteme, IX1) Polarographie2) und Spektroskopie heterocyclisch substituierter Äthylene und ihrer höheren Oxidationsstufen. Liebigs Ann Chem 765:126–132. https://doi.org/10.1002/jlac.19727650113
Shi ZQ, Thummel RP (1994) BRIDGED BIBENZIMIDAZOLIUM SALTS AND THEIR CONVERSION TO UREAPHANES. Tetrahedron Lett 35:33–36. https://doi.org/10.1016/0040-4039(94)88155-3
Thanikaivelan P, Subramanian V, Rao JR, Nair BU (2000) Application of quantum chemical descriptor in quantitative structure activity and structure property relationship. Chem Phys Lett 323:59–70. https://doi.org/10.1016/s0009-2614(00)00488-7
JH H, (1975) Adaption in Natural and Artificial Systems. The University of Michigan Press, Ann Arbor, MI
Nekoei M, Mohammadhosseini M, Pourbasheer E (2021) A quantitative structure-activity relationship study on CXL017 derivatives as effective drugs for cancer treatment. J Chin Chem Soc 68:1972–1986. https://doi.org/10.1002/jccs.202100050
Pourbasheer E, Aalizadeh R, Ganjali MR, Norouzi P, Shadmanesh J (2014) QSAR study of ACK1 inhibitors by genetic algorithm-multiple linear regression (GA-MLR). J Saudi Chem Soc 18:681–688. https://doi.org/10.1016/j.jscs.2014.01.010
Todeschini R, Consonni V, Mauri A, Pavan M (2004) Detecting “bad” regression models: multicriteria fitness functions in regression analysis. Anal Chim Acta 515:199–208. https://doi.org/10.1016/j.aca.2003.12.010
Schleyer PV, Maerker C, Dransfeld A, Jiao HJ, Hommes N (1996) Nucleus-independent chemical shifts: A simple and efficient aromaticity probe. J Am Chem Soc 118:6317–6318. https://doi.org/10.1021/ja960582d
Lazzeretti P (2004) Assessment of aromaticity via molecular response properties. Phys Chem Chem Phys 6:217–223. https://doi.org/10.1039/b311178d
Aihara J (2002) Nucleus-independent chemical shifts and local aromaticities in large polycyclic aromatic hydrocarbons. Chem Phys Lett 365:34–39. https://doi.org/10.1016/s0009-2614(02)01415-x
Wolinski K, Hinton JF, Pulay P (1990) Efficient implementation of the gauge-independent atomic orbital method for NMR chemical shift calculations. J Am Chem Soc 112:8251–8260. https://doi.org/10.1021/ja00179a005
Dance I (2006) The correlation of redox potential, HOMO energy, and oxidation state in metal sulfide clusters and its application to determine the redox level of the FeMo-co active-site cluster of nitrogenase. Inorg Chem 45:5084–5091. https://doi.org/10.1021/ic060438l
Hünig S, Berneth H (1980) Two step reversible redox systems of the weitz type. ChemInform 12:1–44. https://doi.org/10.1007/BFb0034356
Netzeva TI, Worth A, Aldenberg T, Benigni R, Cronin MT, Gramatica P, Jaworska JS, Kahn S, Klopman G, Marchant CA, Myatt G, Nikolova-Jeliazkova N, Patlewicz GY, Perkins R, Roberts D, Schultz T, Stanton DW, van de Sandt JJ, Tong W, Veith G, Yang C (2005) Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. Altern Lab Anim 33:155–173. https://doi.org/10.1177/026119290503300209
Eriksson L, Jaworska J, Worth AP, Cronin MTD, McDowell RM, Gramatica P (2003) Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs. Environ Health Perspect 111:1361–1375. https://doi.org/10.1289/ehp.5758
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Abolghasem beheshti: supervising the overall research, DFT calculation, manuscript preparation. Eslam Pourbasheer: developed the QSPR, manuscript preparation. Mohammad Reza Ganjali: preparation of the manuscript. All authors reviewed the manuscript.
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Beheshti, A., Pourbasheer, E. & Ganjali, M.R. Density function theory calculation to study the oxidation potential of electron-donating compounds; affirming the oxidation mechanism by NICS calculations. J Mol Model 29, 32 (2023). https://doi.org/10.1007/s00894-022-05431-1
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DOI: https://doi.org/10.1007/s00894-022-05431-1