Retroviral Vectors

Schweizer, M.; Flory, E.; Buchholz, C. J.; Cichutek, K.

doi:10.1007/s00103-001-0289-8

Cited by 2 publications

(3 citation statements)

References 30 publications

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“…8 involves 10 predictor variables for 83 data points and thus maintains the recommended ratio of number of predictor variable to number of data points of 1 : 5. The leave-oneout Q 2 value of this equation is more than the recommended cut-off value of 0.5 [44,45] The positive coefficient of D [1][2][3][4][5][6][7][8][9][10][11][12][13] in Eq. 8 shows that the increase in the distance between C 1 to C 13 is conducive for the cytotoxicity.…”

Section: Mixed Approach Based On Hansch Analysis and Fujita-ban Modelmentioning

confidence: 99%

“…The pandemic spread of this disease has prompted an unprecedented scientific and clinical effort to understand and combat it. Lentivirus carries six additional accessory genes (i.e., tat, rev, nef, vpr, vif and vpu genes) that are required either for full viral replication capacity or for pathogenicity [3]. Vpr is a 15-kDa accessory protein that is virion-associated and transported to the nucleus as part of the viral preintegration complex.…”

Section: Introductionmentioning

confidence: 99%

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Classical QSAR Modeling of Anti-HIV 2,3-Diaryl-1,3-thiazolidin-4-ones

Roy

Leonard

2005

QSAR Comb. Sci.

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Cytoprotection and cytotoxicity data of anti-HIV 2,3-diaryl-1,3-thiazolidin-4-ones were subjected to QSAR study using Fujita-Ban type analysis and a mixed approach based on Hansch and Fujita-Ban analyses. Apart from appropriate indicator and integer variables encoding different group contributions, different physicochemical variables like hydrophobicity (p) and steric (molar refractivity) parameters of aryl ring substituents of the compounds were used as predictor variables. Furthermore, Wang-Ford charges of the common atoms of the compounds calculated from molecular electrostatic potential surface of AM1 optimized geometries of the compounds and various topological parameters were used as additional descriptors. The variables for the multiple regression analyses were selected based on principal component factor analysis, and generated equations were statistically validated using leave-one-out technique and predicting the activity data of test set compounds. The statistical qualities of the equations for cytoprotection data (explained variance ranging 64.5 -80.3%, leave-one-out predicted variance ranging 44.3 -59.4%) are better than those for cytotoxicity data (explained variance ranging 59.7 -60.6%, leave-one-out predicted variance ranging 52.4 -54.4%). The analysis explores the structural and physicochemical requirements of the compounds for cytoprotection and cytotoxicity.

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Section: Mixed Approach Based On Hansch Analysis and Fujita-ban Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Classical QSAR Modeling of Anti-HIV 2,3-Diaryl-1,3-thiazolidin-4-ones

Roy

Leonard

2005

QSAR Comb. Sci.

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“…[106] The inability to infect non-dividing cells, such as lung, skin, and liver tissue, limits the use of retroviral vectors for in vivo therapeutic gene transfer. [10,[108][109] Adenoviruses (Ad) are non-enveloped, linear, double-stranded DNA viruses that are able to 1 Introduction efficiently infect the mucosal linings of the respiratory tract, the eyes, the intestines, and the urinary tract [105] and express their genes in both dividing and non-dividing cells. [104] In contrast, adeno-associated viruses (AAV) consist only of a single stranded DNA genome.…”

Section: Viral Vectorsmentioning

confidence: 99%