Abstract
Validated comparative 2D- and 3D-QSAR modeling and docking studies were performed for forty-five quinolone carboxylic acids having cytotoxic, antiviral, and anti-HIV-1 IN activity. Statistically significant 2D-QSAR model was developed through MLR and PLS analyses on unsplitted as well as splitted dataset and validated. The models were validated on external set compounds. Chemical potential, Mulliken charge at C8, and ETSA index at C3 are important for cytotoxicity. Global hardness, electrophilic frontier electron density at C10, ETSA index at O21, and C13 play pivotal role for antiviral activity. Mulliken charge at C5, ETSA index at C14, RTSA index at C8, and C13 and LUMO density on C7 are important for anti-HIV-1 IN activity. HQSAR study suggested that maximum contributing fragments include C2 and C14 and substitutions at C13 and C14 for anti-HIV-1 IN activity and antiviral activity, respectively. The positively contributing fragments include C8, C9, C10, C11, and C16 are beneficial for cytotoxicity. CoMFA study suggested that favorable steric region located near C14 is important for anti-HIV-1 IN activity, steric factor at C8 substitution is important for antiviral and cytotoxicity activities. CoMSIA study correlates the steric region found in CoMFA study; hydrophobic favorable regions are located around C8 and near C13. For antiviral activity, unfavorable hydrogen bond acceptor region is observed near C8 substitution, favorable hydrogen bond acceptor region is observed at N1 substitution. For cytotoxic activity, favorable electrostatic region is located around quinolone and benzene ring. Docking study suggested that Glu152, Gln148, and Asn155 residues of the HIV-1 integrase enzyme bind with the molecule.
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Notes
Mouse is a computer program written in C++ program developed in our laboratory.
Abbreviations
- k-MCA:
-
k-Means cluster analysis
- PRESS:
-
Predicted residual sum of squares
- QSAR:
-
Quantitative structure–activity relationship
- SDEP:
-
Standard deviation of error of prediction
- HQSAR:
-
Hologram quantitative structure–activity relationship
- CoMFA:
-
Comparative Molecular Field Analysis
- CoMSIA:
-
Comparative Molecular Similarity Analysis
References
Accelrys Inc. (2011) Discovery Studio 3.0. Accelrys Inc., San Diego
Adhikari N, Maiti MK, Jha T (2010a) Exploring structural requirements of 1-N-substituted thiocarbamoyl-3-phenyl-2-pyrazolines as antiamoebic agents using comparative QSAR modeling. Bioorg Med Chem Lett 20:4021–4026
Adhikari N, Maiti MK, Jha T (2010) Predictive comparative QSAR modeling of 4-pyridones as potent antimalarials. Int Electron J Mol Des 9:1–19. http://www.biochempress.com
Adhikari N, Maiti MK, Jha T (2010c) Predictive comparative QSAR modelling of (phenylpiperazinyl-alkyl) oxindoles as selective 5-HT1A antagonists by stepwise regression, PCRA, FA-MLR and PLS techniques. Eur J Med Chem 45:1119–1127
Adhikari N, Jana D, Halder AK, Mondal C, Maiti MK, Jha T (2012) Chemometric modeling of 5-phenylthiophenecarboxylic acid derivatives as anti-rheumatic agents. Curr Comput Aided Drug Des 8:182–195
Adhikari N, Halder AK, Mondal C, Jha T (2013a) Exploring structural requirements of aurone derivatives as antimalarials by validated DFT-based QSAR, HQSAR, and COMFA–COMSIA approach. Med Chem Res 22:6029–6045
Adhikari N, Halder AK, Mondal C, Jha T (2013b) Ligand based validated comparative chemometric modeling and pharmacophore mapping of aurone derivatives as antimalarial agents. Curr Comput Aided Drug Des 9:417–432
Barreca ML, Ferro S, Rao A, Luca LD, Zappala M, Monforte AM, Debyser Z, Witvrouw M, Chimirri A (2005) Pharmacophore-based design of HIV-1 integrase strand-transfer inhibitors. J Med Chem 48:7084–7088
Becke AD (1988) Density-functional exchange-energy approximation with correct asymptotic behavior. Phys Rev A 38:3098–3100
Becke AD (1993a) A new mixing of Hartree–Fock and local density functional theories. J Chem Phys 98:1372–1377
Becke AD (1993b) Density functional thermochemistry. III. The role of exact exchange. J Chem Phys 98:5648–5652
Bush BL, Nachbar RB Jr (1993) Sample-distance partial least squares: PLS optimized for many variables, with application to CoMFA. J Comput Aided Mol Des 7:587–619
Carrasco R, Padron AJ, Galvez J (2004) Definition of a novel atomic index for QSAR: the refractotopological state. J Pharm Pharm Sci 7:19–26
Chermette H (1999) Chemical reactivity indexes in density functional theory. J Comput Chem 20:129–154
Clark M, Cramer RD III (1993) The probability of chance correlation using partial least squares (PLS). Quant Struct Act Relat 12:137–145
Clark M, Cramer RD III, Jones DM, Patterson DE, Simeroth PE (1990) Comparative molecular field analysis (CoMFA). 2. Towards its use with 3D-structural databases. Tetrahedron Comput Methodol 3:47–59
Craigie R (2001) HIV integrase, a brief overview from chemistry to therapeutics. J Biol Chem 276:13216–23213
Cramer RD, Patterson DE, Bunce JD (1988) Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins. J Am Chem Soc 110:5959–5967
Cramer RD III, Patterson DE, Bunce JD (1989) Recent advances in comparative molecular field analysis (CoMFA). Prog Clin Biol Res 291:161–165
Curreli F, Choudhury S, Pyatkin I, Zagorodnikov VP, Bulay AK, Altieri A, Kwon YD, Kwong PD, Debnath AK (2012) Design, synthesis, and antiviral activity of entry inhibitors that target the CD4-binding site of HIV-1. J Med Chem 55:4764–4775
de Gregorio C, Kier LB, Hall LH (1998) QSAR modeling with the electrotopological state indices: corticosteroids. J Comput Aided Mol Des 12:557–561
Engelman A, Graigie R (1992) Identification of conserved amino acid residues critical for human immunodeficiency virus type 1 integrase function in vitro. J Virol 66:6361–6369
Engelman A, Bushman FD, Craigie R (1993) Identification of discrete functional domains of HIV-1 integrase and their organization within an active multimeric complex. EMBO J 12:3269–3275
Eriksson L, Jaworska J, Worth AP, Cronin MT, 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
Frisch MJ, Trucks GW, Schlegel HB, Scuseria GE, Millam MA, Daniels AD, Kudin KN, Strain MC, Farkas O, Tomasi Barone JV, Cossi M, Cammi R, Mennucci B, Pomelli C, Adamo C, Clifford S, Ochterski J, Petersson GA, Ayala PY, Cui Q, Morokuma K, Salvador P, Dannenberg JJ, Malick DK, Rabuck AD, Raghavachari K, Foresman JB, Cioslowski J, Ortiz JV, Baboul AG, Sefanov BB, Liu G, Liashenko A, Piskorz P, Komaromi I, Gomperts R, Martin RL, Fox DJ, Keith T, A-Laham MA, Peng CY, Nanayakkara A, Challacombe M, Gill PMW, Johnson B, Chen W, Wong MW, Andes JL, Gonzalez C, Head-Gordon M, Replogle ES, Pople JA (2003) Gaussian 03—Revision B.03. Gaussian Inc., Pittsburgh
Ganturi SB, Narayanan R (2007) In silico ADME modeling 3: computational models to predict human intestinal absorption using sphere exclusion and kNN QSAR methods. QSAR Comb Sci 26:653–668
Geerlings P, De Proft F, Langenaeker W (2003) Conceptual density functional theory. Chem Rev 103:1793–1874
Ghose AK, Crippen GM (1987) Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure–activity relationships. 2. Modeling dispersive and hydrophobic interactions. J Chem Inf Comput Sci 27:21–35
Ghose AK, Pritchett A, Crippen GM (1988) Atomic physicochemical parameters for three-dimensional structure-directed quantitative structure–activity relationships. III. Modeling hydrophobic interactions. J Comput Chem 9:80–90
Golbraikh A, Tropsha A (2002) Beware of q2! J Mol Graph Model 20:269–276
Goldgur Y, Craigie R, Cohen GH, Fujiwara T, Yoshinage T, Fujishita T, Sugimoto H, Endo T, Murai H, Davies DR (1999) Structure of the HIV-1 integrase catalytic domain complexed with an inhibitor: a platform for antiviral drug design. Proc Natl Acad Sci USA 96:13040–13043
Grobler JA, Stillmock K, Binghua H, Witmer M, Felock P, Espeseth AS, Wolfe A, Egbertson M, Bourgeois M, Melamed J, Wai JS, Young S, Vacca J, Hazuda DJ (2002) Diketo acid inhibitor mechanism and HIV-1 integrase: implications for metal binding in the active site of phosphotransferase enzymes. Proc Natl Acad Sci USA 99:6661–6666
Halder AK, Jha T (2010) Validated predictive QSAR modeling of N-aryl-oxazolidinone-5-carboxamides for anti-HIV protease activity. Bioorg Med Chem Lett 20:6082–6087
Halder AK, Adhikari N, Jha T (2009) Comparative QSAR modeling of 2-phenylindole-3-carbaldehyde derivatives as potential antimitotic agents. Bioorg Med Chem Lett 19:1737–1739
Halder AK, Adhikari N, Jha T (2010a) Structural findings of 2-phenylindole-3-carbaldehyde derivatives for antimitotic activity by FA-sMLR QSAR analysis. Chem Biol Drug Des 75:204–213
Halder AK, Adhikari N, Maiti MK, Jha T (2010b) Synthesis, pharmacological activity and comparative QSAR modeling of 1,5-N,N′-substituted-2-(substituted naphthalenesulphonyl) glutamamides as possible anticancer agents. Eur J Med Chem 45:1760–1771
Halder AK, Saha A, Jha T (2013a) The role of 3D pharmacophore mapping based virtual screening for identification of novel anticancer agents: an overview. Curr Top Med Chem 13:1098–1126
Halder AK, Saha A, Jha T (2013b) Exploration of structural and physicochemical requirements and search of virtual hits for aminopeptidase N inhibitors. Mol Divers 17:123–137
Hazuda DJ, Young SD, Guare JP, Anthony NJ, Gomez RP, Wai JS, Vacca JP, Handt L, Motzel SL, Klein HJ, Dornadula G, Danovich RM, Witmer MV, Wilson KAA, Tussey L, Schleif WA, Gabryelski LS, Jin L, Miller MD, Casimiro DR, Emini EA, Shiver JW (2004) Integrase inhibitors and cellular immunity suppress retroviral replication in rhesus macaques. Science 305:528–532
He QQ, Gu SX, Liu J, Wu HQ, Zhang X, Yang LM, Zheng YT, Chen FE (2011a) Structural modifications of quinolone-3-carboxylic acids with anti-HIV activity. Bioorg Med Chem 19:5039–5045
He QQ, Zhang X, Wu HQ, Gu SX, Ma XD, Yang LM, Zheng YT, Chen FE (2011b) Synthesis and biological evaluation of HQCAs with aryl or benzyl substituents on N-1 position as potential HIV-1 integrase inhibitors. Bioorg Med Chem 19:5553–5558
Hemmatateenejad B (2004) Optimal QSAR analysis of the carcinogenic activity of drugs by correlation ranking and genetic algorithm-based PCR. J Chemom 18:475–485
Hirata S, Zhan CG, Apra E, Windus TL, Dixon DA (2003) A new, self-contained asymptotic correlation scheme to exchange-correlation potentials for time-dependent density functional theory. J Phys Chem A 107:10154–10158
Hu RJ, Doucet JP, Delamar M, Zhang RS (2009) QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods. Eur J Med Chem 44:2158–2171
Jaiswal M, Khadikar PV, Scozzafava A, Supuran CT (2004) Carbonic anhydrase inhibitors: the first QSAR study on inhibition of tumor-associated isoenzyme IX with aromatic and heterocyclic sulfonamides. Bioorg Med Chem Lett 14:3283–3290
Jana D, Halder AK, Adhikari N, Maiti MK, Mondal C, Jha T (2011) Chemometric modeling and pharmacophore mapping in coronary heart disease: 2-arylbenzoxazoles as cholesteryl ester transfer protein inhibitors. MedChemComm 2:840–852
Jha T, Samanta S, Basu S, Halder AK, Adhikari N, Maiti MK (2008) QSAR study on some orally active uracil derivatives as human gonadotropin-releasing-hormone receptor antagonists. Int Electron J Mol Des 7:234–250. http://www.biochempress.com
Jha T, Chakrabortty P, Adhikari N, Halder AK, Maiti MK (2009) QSAR study on coumarins as antimeningoencephalitic agents. Int Electron J Mol Des 8:1–13. http://www.biochempress.com
Karelson M, Lobanov VS, Katritzky AR (1996) Quantum-chemical descriptors in QSAR/QSPR studies. Chem Rev 96:1027–1043
Kier LB, Hall LH (1999) Molecular structure description: the electrotopological state. Academic Press, San Francisco
Klebe G, Abraham U (1999) Comparative molecular similarity index analysis (CoMSIA) to study hydrogen bonding properties and to score combinatorial libraries. J Comput Aided Mol Des 13:1–10
Klebe G, Abraham U, Mietzner T (1994) Molecular similarity indices in a comparative analysis (CoMSIA) of drug molecules to correlate and predict their biological activity. J Med Chem 37:4130–4146
Kubinyi H (1997a) QSAR and 3D QSAR in drug design. Part 1: methodology. Drug Discov Today 2:457–467
Kubinyi H (1997b) QSAR and 3D QSAR in drug design. Part 1: methodology. Drug Discov Today 2:538–546
Lu P, Wei X, Zhang R (2010) CoMFA and CoMSIA 3D-QSAR studies on quinolone carboxylic acid derivatives inhibitors of HIV-1 integrase. Eur J Med Chem 45:3413–3419
Mehellou Y, Clercq ED (2010) Twenty-six years of anti-HIV drug discovery: where do we stand and where do we go? J Med Chem 53:521–538
Palani A, Tagat JR (2006) Discovery and development of small-molecule chemokine coreceptor CCR5 antagonists. J Med Chem 49:2851–2857
Park K (2007) Preventive & social medicine. Banarsidas Bhanot, Jabalpur
Parr RG (1983) Density functional theory. Annu Rev Phys Chem 34:631–656
Parr RG, Yang W (1984) Density fuinctional approach to the frontier-electron theory of chemical reactivity. J Am Chem Soc 106:4049–4050
Parr RG, Yang WR (1989) Density functional theory of atoms and molecules. Oxford University Press, Oxford
Parr RG, Yang W (1995) Density-functional theory of the electronic structure of molecules. Annu Rev Phys Chem 46:701–728
Pasquini S, Mugnaini C, Tintori C, Botta M, Trejos A, Arvela RK, Larhed M, Witvrouw M, Michiels M, Christ F, Debyser Z, Corelli F (2008) Investigations on the 4-quinolone-3-carboxylic acid motif. 1. Synthesis and structure–activity relationship of a class of human immunodeficiency virus type 1 integrase inhibitors. J Med Chem 51:5125–5129
Pommier Y, Johnson AA, Marchand C (2005) Integrase inhibitors to treat HIV/AIDS. Nat Rev Drug Discov 4:236–248
Rose K, Hall LH, Kier LB (2002) Modeling blood–brain barrier penetration using the electrotopological state. J Chem Inf Comput Sci 42:651–666
Roy PP, Roy K (2008) On some aspects of variable selection for partial least squares regression models. QSAR Comb Sci 27:302–313
Roy PP, Paul S, Mitra I, Roy K (2009) On two novel parameters for validation of predictive QSAR models. Molecules 14:1660
Sanderson RT (1961) Polar covalence. Academic, New York
Sanderson RT (1976) Chemical binds and bond energy. Academic, New York
Sato M, Motomura T, Aramaki H, Matsuda T, Yamashita M, Ito Y, Kawakami Y, Matsuzaki Y, Watanabe W, Yamataka K, Ikeda S, Kodama E, Matsuoka M, Shinkai H (2006) Novel HIV-1 integrase inhibitors derived from quinolone antibiotics. J Med Chem 49:1506–1508
Sato M, Kawakami H, Motomura T, Aramaki H, Matsuda T, Yamashita M, Ito Y, Matsuzaki Y, Yamataka K, Ikeda S, Shinkai H (2009) Quinolone carboxylic acids as a novel monoketo acid class of human immunodeficiency virus type 1 integrase inhibitors. J Med Chem 52:4869–4882
Sendecor GW, Cochran WG (1967) Multiple regression in statistical methods. Oxford & IBH, New Delhi
Shapiro S, Guggenheim B (1998) Inhibition of oral bacteria by phenolic compounds. Part 1. QSAR analysis using molecular connectivity. Quant Struct Act Relat 17:327–337
Sorbera LA, Serradell N (2006) GS-9137-anti-HIV agent HIV integrase inhibitor. Drugs Future 31:310–313
Sulpizi M, Folkers G, Rothlisberger U, Carloni P, Scapozza L (2002) Applications of density functional theory-based methods in medicinal chemistry. Quant Struct Act Relat 21:173–181
Tetko IV, Tanchuk VY, Villa AE (2001) Prediction of n-octanol/water partion coefficients from PHYSPROP database using artificial neural networks and E-state indices. J Chem Inf Comput Sci 41:1407–1421
Tong W, Lowis DR, Perkins R, Chen Y, Welsh WJ, Goddette DW, Heritage TW, Sheehan DM (1998) Evaluation of quantitative structure–activity relationship methods for large-scale prediction of chemicals binding to the estrogen receptor. J Chem Inf Comput Sci 38:669–677
Tripos Inc., SYBYL-X 2.0. Tripos Inc., St. Louis
Tropsha A (2003) In: Abraham DJ (ed) Burger’s medicinal chemistry and drug discovery, vol 1. Wiley, New Jersey, pp 49–75
Tropsha A, Gramatica P, Gomber VK (2003) The importance of being earnest: validation is the absolute essential for successful application and interpretation of QSPR models. QSAR Comb Sci 22:69–77
Walker JD, Jaworska J, Comber MH, Schultz TW, Dearden JC (2003) Guidelines for developing and using quantitative structure–activity relationships. Environ Toxicol Chem 22:1653–1665
Waller CL (2004) A comparative QSAR study using CoMFA, HQSAR, and FRED/SKEYS paradigms for estrogen receptor binding affinities of structurally diverse compounds. J Chem Inf Comput Sci 44:758–765
Wang Y, Serradell N, Bolos J, Rosa E (2007) MK-0518, HIV integrase inhibitor. Drugs Future 32:118–122
Zhang N, Zhong R (2010) Docking and 3D-QSAR studies of 7-hydroxycoumarin derivatives as CK2 inhibitors. Eur J Med Chem 45:292–297
Acknowledgments
Authors are thankful to the All India Council for Technical Education (AICTE), New Delhi, Council of Scientific and Industrial Research (CSIR), New Delhi and University Grants Commission (UGC), New Delhi for providing financial support. Two authors (NA and AKH) thank Council of Scientific and Industrial Research (CSIR), New Delhi for providing Senior Research Fellowship (SRF). We are also thankful to the authority of Jadavpur University for providing us the facility required for the work.
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Adhikari, N., Halder, A.K., Mondal, C. et al. Structural findings of quinolone carboxylic acids in cytotoxic, antiviral, and anti-HIV-1 integrase activity through validated comparative molecular modeling studies. Med Chem Res 23, 3096–3127 (2014). https://doi.org/10.1007/s00044-013-0897-5
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DOI: https://doi.org/10.1007/s00044-013-0897-5