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Minić A, Pešić MS, Novaković SB, Bogdanović GA, Todosijević A, Komatina DI, Stevanović D. Synthesis, structural and electrochemical characterization of novel ferrocene-containing tetrahydropyrimidin-2(1H)-ones. J Organomet Chem 2020. [DOI: 10.1016/j.jorganchem.2020.121422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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3
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Devi P, Lambu MR, Baskaran S. A novel one-pot method for the stereoselective synthesis of tetrahydropyrimidinones in a low melting mixture. Org Biomol Chem 2020; 18:4164-4168. [PMID: 32436516 DOI: 10.1039/d0ob00697a] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A direct and metal free one-pot method has been developed for the stereoselective synthesis of tetrahydropyrimidinone derivatives from a vinyl arene and formaldehyde using a tartaric acid-dimethylurea (TA : DMU) melt as a green reaction medium. The substrate scope of this method is very general and the tetrahydropyrimidinone (THPM) derivatives are synthesized in good yields with a high degree of diastereoselectivity. In this reaction, the melt plays a triple role as the solvent, catalyst and reagent.
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Affiliation(s)
- Pramila Devi
- Department of Chemistry, Indian Institute of Technology Madras, Chennai, 600036, India.
| | | | - Sundarababu Baskaran
- Department of Chemistry, Indian Institute of Technology Madras, Chennai, 600036, India.
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Smolobochkin AV, Gazizov AS, Voronina JK, Strelnik AG, Rizbayeva TS, Burilov AR, Pudovik MA. Reactions of 1‐(3,3‐Diethoxypropyl)urea with Phenols: Synthesis of 1,6‐Disubstituted Tetrahydropyrimidine‐2(1H)‐ones. ChemistrySelect 2019. [DOI: 10.1002/slct.201902754] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Andrey V. Smolobochkin
- Arbuzov Institute of Organic and Physical ChemistryFRC Kazan Scientific CenterRussian Academy of Sciences 8 Arbuzova str. Kazan Russian Federation
| | - Almir S. Gazizov
- Arbuzov Institute of Organic and Physical ChemistryFRC Kazan Scientific CenterRussian Academy of Sciences 8 Arbuzova str. Kazan Russian Federation
| | - Julia K. Voronina
- N.S. Kurnakov Institute of General and Inorganic ChemistryRussian Academy of Sciences 31 Leninsky Ave. Moscow Russian Federation
| | - Anna G. Strelnik
- Arbuzov Institute of Organic and Physical ChemistryFRC Kazan Scientific CenterRussian Academy of Sciences 8 Arbuzova str. Kazan Russian Federation
| | - Tanzilya S. Rizbayeva
- Arbuzov Institute of Organic and Physical ChemistryFRC Kazan Scientific CenterRussian Academy of Sciences 8 Arbuzova str. Kazan Russian Federation
| | - Alexander R. Burilov
- Arbuzov Institute of Organic and Physical ChemistryFRC Kazan Scientific CenterRussian Academy of Sciences 8 Arbuzova str. Kazan Russian Federation
| | - Michail A. Pudovik
- Arbuzov Institute of Organic and Physical ChemistryFRC Kazan Scientific CenterRussian Academy of Sciences 8 Arbuzova str. Kazan Russian Federation
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Tomishige K, Tamura M, Nakagawa Y. CO
2
Conversion with Alcohols and Amines into Carbonates, Ureas, and Carbamates over CeO
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Catalyst in the Presence and Absence of 2‐Cyanopyridine. CHEM REC 2018; 19:1354-1379. [DOI: 10.1002/tcr.201800117] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Accepted: 10/07/2018] [Indexed: 02/04/2023]
Affiliation(s)
- Keiichi Tomishige
- Department of Applied Chemistry, Graduate School of EngineeringTohoku University Aoba 6-6-07, Aramaki, Aoba-ku Sendai, 980-8579 Japan
| | - Masazumi Tamura
- Department of Applied Chemistry, Graduate School of EngineeringTohoku University Aoba 6-6-07, Aramaki, Aoba-ku Sendai, 980-8579 Japan
| | - Yoshinao Nakagawa
- Department of Applied Chemistry, Graduate School of EngineeringTohoku University Aoba 6-6-07, Aramaki, Aoba-ku Sendai, 980-8579 Japan
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Minić A, Jovanović JP, Bogdanović GA, Pejović A, Radulović N, Damljanović I, Stevanović D. Synthesis, structural and electrochemical characterization of novel 1,3-ketoureas bearing a ferrocenyl group. Polyhedron 2018. [DOI: 10.1016/j.poly.2017.12.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Minić A, Stevanović D, Damljanović I, Pejović A, Vukićević M, Bogdanović GA, Radulović NS, Vukićević RD. Synthesis of ferrocene-containing six-membered cyclic ureas via α-ferrocenyl carbocations. RSC Adv 2015. [DOI: 10.1039/c5ra01383f] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
A convenient method for the synthesis of ferrocene-containing six membered cyclic ureas was developed.
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Affiliation(s)
- Aleksandra Minić
- Department of Chemistry
- Faculty of Science
- University of Kragujevac
- 34000 Kragujevac
- Serbia
| | - Dragana Stevanović
- Department of Chemistry
- Faculty of Science
- University of Kragujevac
- 34000 Kragujevac
- Serbia
| | - Ivan Damljanović
- Department of Chemistry
- Faculty of Science
- University of Kragujevac
- 34000 Kragujevac
- Serbia
| | - Anka Pejović
- Department of Chemistry
- Faculty of Science
- University of Kragujevac
- 34000 Kragujevac
- Serbia
| | - Mirjana Vukićević
- Department of Pharmacy
- Faculty of Medicinal Sciences
- University of Kragujevac
- 34000 Kragujevac
- Serbia
| | - Goran A. Bogdanović
- Vinča Institute of Nuclear Sciences
- University of Belgrade
- 11001 Belgrade
- Serbia
| | - Niko S. Radulović
- Department of Chemistry
- Faculty of Science and Mathematics
- University of Niš
- 18000 Niš
- Serbia
| | - Rastko D. Vukićević
- Department of Chemistry
- Faculty of Science
- University of Kragujevac
- 34000 Kragujevac
- Serbia
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Ghasemi JB, Aghaee E, Jabbari A. Docking, CoMFA and CoMSIA Studies of a Series of N-Benzoylated Phenoxazines and Phenothiazines Derivatives as Antiproliferative Agents. B KOREAN CHEM SOC 2013. [DOI: 10.5012/bkcs.2013.34.3.899] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Systems biological approach of molecular descriptors connectivity: optimal descriptors for oral bioavailability prediction. PLoS One 2012; 7:e40654. [PMID: 22815781 PMCID: PMC3398012 DOI: 10.1371/journal.pone.0040654] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2012] [Accepted: 06/11/2012] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Poor oral bioavailability is an important parameter accounting for the failure of the drug candidates. Approximately, 50% of developing drugs fail because of unfavorable oral bioavailability. In silico prediction of oral bioavailability (%F) based on physiochemical properties are highly needed. Although many computational models have been developed to predict oral bioavailability, their accuracy remains low with a significant number of false positives. In this study, we present an oral bioavailability model based on systems biological approach, using a machine learning algorithm coupled with an optimal discriminative set of physiochemical properties. RESULTS The models were developed based on computationally derived 247 physicochemical descriptors from 2279 molecules, among which 969, 605 and 705 molecules were corresponds to oral bioavailability, intestinal absorption (HIA) and caco-2 permeability data set, respectively. The partial least squares discriminate analysis showed 49 descriptors of HIA and 50 descriptors of caco-2 are the major contributing descriptors in classifying into groups. Of these descriptors, 47 descriptors were commonly associated to HIA and caco-2, which suggests to play a vital role in classifying oral bioavailability. To determine the best machine learning algorithm, 21 classifiers were compared using a bioavailability data set of 969 molecules with 47 descriptors. Each molecule in the data set was represented by a set of 47 physiochemical properties with the functional relevance labeled as (+bioavailability/-bioavailability) to indicate good-bioavailability/poor-bioavailability molecules. The best-performing algorithm was the logistic algorithm. The correlation based feature selection (CFS) algorithm was implemented, which confirms that these 47 descriptors are the fundamental descriptors for oral bioavailability prediction. CONCLUSION The logistic algorithm with 47 selected descriptors correctly predicted the oral bioavailability, with a predictive accuracy of more than 71%. Overall, the method captures the fundamental molecular descriptors, that can be used as an entity to facilitate prediction of oral bioavailability.
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In silico screening of indinavir-based compounds targeting proteolytic activity in HIV PR: binding pocket fit approach. Med Chem Res 2011. [DOI: 10.1007/s00044-011-9941-5] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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3D-QSAR analysis of human immunodeficiency virus entry-1 inhibitors by CoMFA and CoMSIA. Eur J Med Chem 2010; 45:4897-903. [PMID: 20810190 DOI: 10.1016/j.ejmech.2010.07.062] [Citation(s) in RCA: 53] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2010] [Revised: 07/25/2010] [Accepted: 07/29/2010] [Indexed: 11/22/2022]
Abstract
3D-QSAR studies namely CoMFA, CoMFA region focusing and CoMSIA have been carried out on a series (36 compounds) of HIV-1 entry inhibitors. An alignment rule for the compounds was defined using Distill in SYBYL 7.3. Models were validated using a data set obtained by dividing the data set into a training set and test set using hierarchical clustering, based on the CoMFA fields and biological activities (pIC(50)). The best predictions were obtained with a CoMFA region-focusing model (q(2) = 0.719, r(pred)(2) = 0.911), CoMFA standard model (q(2) = 0.660, r(pred)(2) = 0.890), and CoMSIA (steric and hydrophobic) model (q(2) = 0.521, r(pred)(2) = 0.794). The statistical parameters from the models indicate that the data are well fitted and have high predictive ability. Moreover, the resulting 3D CoMFA/CoMSIA contour maps provide useful guidance for designing highly active inhibitors.
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Li Z, Sun Y, Yan X, Meng F. Study on QSTR of benzoic acid compounds with MCI. Int J Mol Sci 2010; 11:1228-35. [PMID: 20480017 PMCID: PMC2871113 DOI: 10.3390/ijms11041228] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2009] [Revised: 03/01/2010] [Accepted: 03/16/2010] [Indexed: 11/16/2022] Open
Abstract
Quantitative structure-toxicity relationship (QSTR) plays an important role in toxicity prediction. With the modified method, the quantum chemistry parameters of 57 benzoic acid compounds were calculated with modified molecular connectivity index (MCI) using Visual Basic Program Software, and the QSTR of benzoic acid compounds in mice via oral LD50 (acute toxicity) was studied. A model was built to more accurately predict the toxicity of benzoic acid compounds in mice via oral LD50: 39 benzoic acid compounds were used as a training dataset for building the regression model and 18 others as a forecasting dataset to test the prediction ability of the model using SAS 9.0 Program Software. The model is LogLD50 = 1.2399 × 0JA +2.6911 × 1JA – 0.4445 × JB (R2 = 0.9860), where 0JA is zero order connectivity index, 1JA is the first order connectivity index and JB = 0JA × 1JA is the cross factor. The model was shown to have a good forecasting ability.
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Affiliation(s)
- Zuojing Li
- School of Foundation, Shenyang Pharmaceutical University, No. 103 Wenhua Road, Shenyang, Liaoning, 110016, China; E-Mail:
(Z.L.);
(X.Y.)
| | - Yezhi Sun
- School of Pharmaceutical Science, China Medical University, No. 92 Bei-er Road, Shenyang, Liaoning, 110001, China; E-Mail:
(Y.S.)
| | - Xinli Yan
- School of Foundation, Shenyang Pharmaceutical University, No. 103 Wenhua Road, Shenyang, Liaoning, 110016, China; E-Mail:
(Z.L.);
(X.Y.)
| | - Fanhao Meng
- School of Pharmaceutical Science, China Medical University, No. 92 Bei-er Road, Shenyang, Liaoning, 110001, China; E-Mail:
(Y.S.)
- Author to whom correspondence should be addressed; E-Mail:
; Tel.: +86-24-23256666-5329; Fax: +86-24-23269483
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da Cunha EFF, Sippl W, de Castro Ramalho T, Ceva Antunes OA, de Alencastro RB, Albuquerque MG. 3D-QSAR CoMFA/CoMSIA models based on theoretical active conformers of HOE/BAY-793 analogs derived from HIV-1 protease inhibitor complexes. Eur J Med Chem 2009; 44:4344-52. [PMID: 19616874 DOI: 10.1016/j.ejmech.2009.05.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2008] [Revised: 04/27/2009] [Accepted: 05/15/2009] [Indexed: 11/20/2022]
Abstract
The three-dimensional quantitative structure-activity relationships (3D-QSAR) of a series of HOE/BAY-793 analogs (C(2)-symmetric diol peptidomimetics), developed by Budt and co-workers [Bioorg. Med. Chem. 3 (1995) 559] as inhibitors of HIV-1 protease (HIV-PR), were studied using Comparative Molecular Field Analysis (CoMFA) and Comparative Molecular Similarity Indices Analysis (CoMSIA). Theoretical active conformers for these peptidomimetics were generated, derived from modeled protease inhibitor complexes, in order to orient the compounds superposition and to afford a consistent alignment. The best CoMFA model (N=27, q(2)=0.637, R(2)=0.991) showed contributions of the steric (45.7%) and electrostatic (54.3%) fields to the activity, while the best CoMSIA model (N=27, q(2)=0.511, R(2)=0.987) showed contributions of the electrostatic (68.5%) and hydrogen bond donor (37.5%) fields. The models were also external validated using four compounds (test set) not included in the model generation process. The statistical parameters from both models indicate that the data are well fitted and have high predictive ability. Moreover, the resulting 3D CoMFA/CoMSIA contour maps provide useful guidance for designing highly active ligands. The CoMFA/CoMSIA models were also compared with previous 4D-QSAR models [E.F.F. da Cunha, M.G. Albuquerque, O.A.C. Antunes, R.B. de Alencastro, QSAR Comb. Sci. 24 (2005), 240-253.].
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Takkis K, Sild S. QSAR Modeling of HIV-1 Protease Inhibition on Six- and Seven-membered Cyclic Ureas. ACTA ACUST UNITED AC 2008. [DOI: 10.1002/qsar.200860006] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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Garg R, Bhhatarai B. Possible allosteric interactions of monoindazole-substituted P2 cyclic urea analogues with wild-type and mutant HIV-1 protease. J Comput Aided Mol Des 2008; 22:737-45. [PMID: 18368496 DOI: 10.1007/s10822-008-9210-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2007] [Accepted: 03/09/2008] [Indexed: 11/29/2022]
Abstract
Our ongoing efforts to understand the difference in the binding pattern of HIV-1 protease inhibitor (HIVPI) with the wild-type and mutant HIV-1 protease (HIVPR) and to provide mechanistic insight are continued further. We report here the results of a recent quantitative structure-activity relationship (QSAR) study on monoindazole-substituted P2 analogues of cyclic urea HIVPIs. The QSAR models revealed an inverted parabolic relationship between biological activity and calculated molar refractivity (CMR). That is, biological activity first decreases with increase in CMR and at a certain minimum point (inversion point) it suddenly changes and increases with further increase in CMR. CMR is a measure of volume-dependent-polarizability and is an indication of the polar interactions between ligand and receptor. The results seem to be best rationalized by larger molecules inducing a change in a receptor unit that allows for a new mode of interaction. Similar QSAR models were also observed for the biological activity of these molecules tested against a panel of mutant viruses including mutant strains with single amino acid substitution (I84V), double amino acid substitutions (I84V/V82F), and multiple amino acid changes corresponding to mutations observed in clinical isolates of patients treated with Ritonavir((R)). Interestingly the inversion points for these mutant strains were found larger than for wild-type. The subtle but significant difference in the inversion point indicates change in the shape and size of the binding pocket. Earlier QSAR studies have shown that the correlation of biological activity with an inverted parabola is an indicative of the 'allosteric interaction' of the ligands with the receptor. This report presents a detail analysis of these observations.
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Affiliation(s)
- Rajni Garg
- Chemistry and Biochemistry Department, California State University, San Marcos, 333S. Twin Oaks valley Road, San Marcos, CA 92006, USA,
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Yoshida T, Yamagishi K, Chuman H. QSAR Study of Cyclic Urea Type HIV-1 PR Inhibitors Using Ab Initio
MO Calculation of Their Complex Structures with HIV-1 PR. ACTA ACUST UNITED AC 2007. [DOI: 10.1002/qsar.200730108] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
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Ravichandran V, Jain PK, Mourya VK, Agrawal RK. QSAR study on some arylsulfonamides as anti-HIV agents. Med Chem Res 2007. [DOI: 10.1007/s00044-007-9034-7] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Fernández M, Caballero J. Modeling of activity of cyclic urea HIV-1 protease inhibitors using regularized-artificial neural networks. Bioorg Med Chem 2006; 14:280-94. [PMID: 16202604 DOI: 10.1016/j.bmc.2005.08.022] [Citation(s) in RCA: 48] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2005] [Revised: 08/04/2005] [Accepted: 08/05/2005] [Indexed: 11/26/2022]
Abstract
Artificial neural networks (ANNs) were used to model both inhibition of HIV-1 protease (K(i)) and inhibition of HIV replication (IC90) for 55 cyclic urea derivatives using constitutional and 2D descriptors. As a preliminary step, linear dependences were established by multiple linear regression (MLR) approaches, selecting the relevant descriptors by genetic algorithm (GA) feature selection. For ANN models non-linear GA feature selection was also applied. Non-linear modeling of K(i) overcame the results of the linear one using four properties, keeping in mind standard Pearson R correlation coefficients (0.931 vs. 0.862) and leave one out (LOO) cross-validation analysis (Q(LOO)2 = 0.703 vs. 0.510). On the other hand, IC90 modeling was insoluble by a linear approach: no predictive model was achieved; however, a non-linear relation was encountered according to statistic results (R = 0.891; Q(LOO)2 = 0.568). The best non-linear models suggested the influence of the presence of nitrogen atoms and the molecular volume distribution in the inhibitor structures on the HIV-1 protease inhibition as well as that the inhibition of HIV replication was dependent on the occurrence of five-member rings. Finally, inhibitors were well distributed regarding its activity levels in a Kohonen self-organizing map built using the input variables of the best non-linear models.
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Affiliation(s)
- Michael Fernández
- Molecular Modeling Group, Center for Biotechnological Studies, University of Matanzas, Matanzas, Cuba
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Garg R, Patel D. Hydrophobicity in the design of P2/P2′ tetrahydropyrimidinone HIV protease inhibitors. Bioorg Med Chem Lett 2005; 15:3767-70. [PMID: 15993582 DOI: 10.1016/j.bmcl.2005.05.087] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2005] [Revised: 05/13/2005] [Accepted: 05/16/2005] [Indexed: 10/25/2022]
Abstract
As part of an ongoing effort in understanding the role of hydrophobicity in the design of nonpeptidic HIV protease inhibitors, the QSAR study on P2/P2' tetrahydropyrimidinone is presented in this report. Our results suggest that the balance of hydrophobicity and a volume- dependent polarizability term plays a key role in the inhibition of the viral protease by these inhibitors. The size of the substituent of ligands at particular positions that induce steric fit is crucial. The role of hydrophobicity in the design of tetrahydropyrimidinone is discussed. It has been found that a sufficient spread in the data is required to observe the optimum value of ClogP for these inhibitors.
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Affiliation(s)
- Rajni Garg
- Department of Chemistry, Clarkson University, Potsdam, NY 13699-5810, USA.
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Bhhatarai B, Garg R. From SAR to comparative QSAR: role of hydrophobicity in the design of 4-hydroxy-5,6-dihydropyran-2-ones HIV-1 protease inhibitors. Bioorg Med Chem 2005; 13:4078-84. [PMID: 15911321 DOI: 10.1016/j.bmc.2005.03.049] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2005] [Revised: 03/24/2005] [Accepted: 03/24/2005] [Indexed: 10/25/2022]
Abstract
Role of hydrophobicity in the design of 4-hydroxy-5,6-dihydropyran-2-ones-a new class of emerging HIV-1 protease inhibitors (HIV-PI) was investigated by using comparative QSAR. These studies show that most of the data points in the individual dataset studied fall either on positive or negative side of the optimum value of ClogP. This is why, we observe either a positive or negative ClogP term in the QSAR. To observe the optimum value of ClogP for these inhibitors, a sufficient spread in the data is required. It is hoped that the results of this study would help in optimizing substituents for better binding at enzyme pockets and guide in the design of more effective HIV-PI of this class.
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Affiliation(s)
- Barun Bhhatarai
- Department of Chemistry, Clarkson University, Potsdam, NY 13699-5810, USA
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Fontes Ferreira da Cunha E, Albuquerque M, Ceva Antunes O, Bicca de Alencastro R. 4D-QSAR Models of HOE/BAY-793 Analogues as HIV-1 Protease Inhibitors. ACTA ACUST UNITED AC 2005. [DOI: 10.1002/qsar.200430893] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Takemoto Y, Yanada R, Kaieda A, Yanada K. New Utilizations of Optically Active Homoallylamines: Highly Stereoselective Synthesis of Cyclic Guanidine and Thiourea. HETEROCYCLES 2005. [DOI: 10.3987/com-05-s(k)43] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Garg R, Bhhatarai B. A mechanistic study of 3-aminoindazole cyclic urea HIV-1 protease inhibitors using comparative QSAR. Bioorg Med Chem 2004; 12:5819-31. [PMID: 15498658 DOI: 10.1016/j.bmc.2004.08.036] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2004] [Accepted: 08/26/2004] [Indexed: 11/17/2022]
Abstract
Comparative QSAR studies on P2/P2' and P1/P1' substituted symmetrical and nonsymmetrical 3-aminoindazole cyclic urea HIV-1 protease inhibitors were performed. The protease inhibitory activity of these compounds was found to decrease with larger and more hydrophobic molecules, whereas the antiviral potency and translation across the cell membrane increases with increase in hydrophobicity and size. These results provide mechanistic insight about the mode of interaction of these compounds with HIV-1 protease receptor and would help in further improving the biological activity.
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Affiliation(s)
- Rajni Garg
- Chemistry Department, Clarkson University, Potsdam, NY 13699-5810, USA.
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Katritzky AR, Oliferenko A, Lomaka A, Karelson M. Six-membered cyclic ureas as HIV-1 protease inhibitors: a QSAR study based on CODESSA PRO approach. Quantitative structure-activity relationships. Bioorg Med Chem Lett 2002; 12:3453-7. [PMID: 12419382 DOI: 10.1016/s0960-894x(02)00741-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Quantitative structure-activity relationships (QSAR) for HIV-1 protease inhibitory activity of substituted tetrahydropyrimidinones have been produced using CODESSA PRO methodology and software. The best four-parameter equation (R(2)(cv)=0.847) allowed us to reveal two main structural factors which are strongly correlated with the title activity: molecular hydrophobicity and ability to form hydrogen bonds with the target enzyme.
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Affiliation(s)
- Alan R Katritzky
- Center for Heterocyclic Compounds, Department of Chemistry, University of Florida, Gainesville 32611-7200, USA.
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