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Activity, SAR

This area is a development in the usage of NDDO models that emphasizes their utility for large-scale problems. Structure-activity relationships (SARs) are widely used in the pharmaceutical industry to understand how the various features of biologically active molecules contribute to their activity. SARs typically take the form of equations, often linear equations, that quantify activity as a function of variables associated with the molecules. The molecular variables could include, for instance, molecular weight, dipole moment, hydrophobic surface area, octanol-water partition coefficient, vapor pressure, various descriptors associated with molecular geometry, etc. For example, Cramer, Famini, and Lowrey (1993) found a strong correlation (r = 0.958) between various computed properties for 44 alkylammonium ions and their ability to act as acetylcholinesterase inhibitors according to the equation... [Pg.152]

Cis-active SAR sequences and heat shock gene expression... [Pg.253]

Question The primary activity SAR for a series of molecules is leading to progressively increasing lipophilicity. What may be the pharmacokinetic consequences of this trend (Evaluate all answers.)... [Pg.356]

Structure Activity SAR, QSAR Bioaccumulation vs. molecular connectivity index (e.g., 1AV)... [Pg.115]

Molecular Activity SAR, MAR Biodegradability vs. (difference in atomic charge across key bond, x-y)... [Pg.115]

Structure related activity (SAR) is based on a chemical s structure as another potential source of supporting data. The chemical structure of a substance can, in some cases is used to predict its toxicity. An example of this is the family of dioxin compounds. Toxicity of tetra-substituted dioxins and furans are predicted based on what chemical groups are present at the active sites of the molecule. The tetra-substituted 2,3,7,8 TCDD is more toxic and persistent than an octa-substituted dioxins structure. Unfortunately, overall, this method has so far proved to be of little help in identifying and predicting carcinogenic potential of many chemicals. [Pg.353]

This study represents an excellent example of the value of microbial systems for compound modification. The range of novel compounds isolated during this study added to the known structure activity (SAR) profile for the starting compound (GWl). In addition, all four of the Streptomyces sp. examined at scale produced the major mammalian metabolite (GWl A) confirming that thev could indeed mimic mammalian metabolism very effectively. [Pg.176]

Fig. 35.8. Insecticidal activity (SAR) for 1,3,4-oxadiazines against Spodoptera frugiperda. Fig. 35.8. Insecticidal activity (SAR) for 1,3,4-oxadiazines against Spodoptera frugiperda.
Camptothecin (127) is an alkaloid with potent anti-tumor activities. SAR studies showed that substitution at the 7-position of 127 led to compounds, such as SN-38 (128) and BNP-1350 (129), with improved biological activity. The Sonogashira cross-coupling of the advanced intermediate 130 with alkyne 131 afforded the common intermediate 132 for the assembly of both 128 and 129. ... [Pg.424]

SAR is the correlation of the chemical structure of a compound to its biological activity. SAR allows defining the chemical groups that are required forthe activity of the substance and guides the design of derivatives with the objective of increasing the potency of the compound or introducing modifications without impairment of its activity. [Pg.235]

Structure-activity studies on the non-psychotropic CBD and CBG showed that the antibacterial activity was remarkably tolerant toward the nature of the prenyl moiety, its relative position compared to the n-pentyl moiety (abnormal cannabinoids, e.g., 32), and toward carboxylation of the resorcinyl moiety (cannabinoid acids). Conversely, decrease in the polarity, obtained through derivatizatiOTi of the phenolic hydroxyls, or introduction of a second prenyl moiety is proved to be detrimental for antibacterial activity. SAR for the antibacterial activity is summarized in Fig. 112.3. [Pg.3430]

The most widely used types of topological indices are molecular connectivity indices. They have been widely reported as molecular structure descriptors in SPR studies and in structure-activity (SAR) studies as well. Originally developed by Randic/ and later modified by Kier and Hall, ° these indices have been used in a variety of studies. These indices are based on a graph theoretical treatment of the molecular topology of the compounds, and encode information about the branching and size of the molecules. The general equation for calculating molecular connectivities of the nth order is... [Pg.190]

Palanki MSS, Erdman PE, Ren M, Suto M, Bennett BL, Manning A, Ransone L, Spooner C, Desai S, Ow A, Totsuka R, Tsao P, Toriumi W (2003) The design and synthesis of novel orally active inhibitors of AP-1 and NF-kappaB mediated transcriptional activation. SAR of in vitro and in vivo studies. Bioorg Med Chem Lett 13 4077-4080... [Pg.553]


See other pages where Activity, SAR is mentioned: [Pg.128]    [Pg.22]    [Pg.390]    [Pg.142]    [Pg.290]    [Pg.358]    [Pg.5]    [Pg.609]    [Pg.474]    [Pg.519]    [Pg.534]    [Pg.609]    [Pg.118]    [Pg.3351]    [Pg.25]    [Pg.197]    [Pg.324]   
See also in sourсe #XX -- [ Pg.301 ]




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Structure-activity relationships between different SARs

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