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ADME factors

Furthermore, pharmacokinetic administration, distribution, metabolism and excretion (ADME) factors affect drug bioavailability, efficacy and safety, and, thus, are a vital consideration in the selection process of oral drug candidates in development pipelines. Since solubility, permeability, and the fraction of dose absorbed are fundamental BCS parameters that affect ADME, these BCS parameters should prove useful in drug discovery and development. In particular, the classification can used to make the development process more efficient.For example, in the case of a drug placed in BCS Class II where dissolution is the rate-limiting step to absorption, formulation principles such as polymorph selection, salt selection, complex formation, and particle size reduction (i.e., nanoparticles) could be applied earlier in development to improve bioavailability. [Pg.926]

Excretion. Excretion of chemicals from the body can occur at the kidneys, the liver and biliary system, the lungs, and in sweat, tears, and breast milk. A simple example of the interplay of ADME factors is provided by the excretion of ethanol metabolism of ethanol is the rate-limiting step in... [Pg.367]

As already described, the solvent for the gel, sihcone fluid, migrates throughout the body. However, the ratio between the crosslinked silicone (silicone sponge) and uncrosslinked silicone (silicone fluid) is unknown [4]. The data on sihcone gel migration and ADME factors (A absorption D distribution M metabolism and E excretion) are not at this time available. Although sihcone fluid had to be classified as a new drug [33], the ADME of sihcone, which serve to indicate safety within the body, is not pubhcly available as a result of industrial propriety [39]. Japanese... [Pg.1049]

ADM = Minimum downcomer area, fT ATM = Minimum column cross-sectional area, fr CAF = Vapor capacity factor CAFo = Flood capacity factor at zero liquid load CFS = Vapor rate, actual ftVsec DT = Tower diameter, ft DTA = Approximate tower diameter, ft FF == Flood factor or design percent of flood, fractional FPL = Tray flow path length, in. [Pg.65]

Factorized iteration schemes and ADM. The main idea behind this approach is connected with the equivalence between ADM from the preceding sections and the two-layer iteration scheme... [Pg.722]

Remark 1 From such reasoning it seems clear that ADM with variable parameters is equivalent to the two-layer scheme (26) with iteration parameter T = Tj. = and factorized operator... [Pg.725]

Another relatively new lipophilicity scale proposed for use in ADME studies is based on MEKC [106]. A further variant is called BMC and uses mobile phases of Brij35 [polyoxyethylene(23)lauryl ether] [129]. Similarly, the retention factors of 16 P-blockers obtained with micellar chromatography with sodium dodecyl sulfate as micelle-forming agent correlates well with permeability coefficients in Caco-2 monolayers and apparent permeability coefficients in rat intestinal segments [130]. [Pg.39]

From an analysis of the key properties of compounds in the World Dmg Index the now well accepted Rule-of-5 has been derived [25, 26]. It was concluded that compounds are most Hkely to have poor absorption when MW>500, calculated octanol-water partition coefficient Clog P>5, number of H-bond donors >5 and number of H-bond acceptors >10. Computation of these properties is now available as a simple but efficient ADME screen in commercial software. The Rule-of-5 should be seen as a qualitative absorption/permeabiHty predictor [43], rather than a quantitative predictor [140]. The Rule-of-5 is not predictive for bioavail-abihty as sometimes mistakenly is assumed. An important factor for bioavailabihty in addition to absorption is liver first-pass effect (metaboHsm). The property distribution in drug-related chemical databases has been studied as another approach to understand drug-likeness [141, 142]. [Pg.41]

Abstract High quality leads provide the foundation for the discovery of successful clinical development candidates, and therefore the identification of leads is an essential part of drug discovery. Many factors contribute to the quality of a lead, including biological, physicochemical, ADME, and PK parameters. The identification of high quality leads, which are needed for successful lead optimization, requires the optimization of all of these parameters. Parallel optimization of all parameters is the most efficient way to achieve the goal of lead identification. [Pg.175]

Nearly 15 years after Patched s speech, we still face the same problems that he highlighted. Medicinal chemists often synthesize a potent molecule and find later that it has poor exposure in vivo, and thus poor efficacy. Poor exposure can be caused by many different factors. Most of the factors affecting exposure are commonly known by acronym ADME - absorption, distribution, metabolism, and excretion. A fifth factor, solubility, is also very important and is commonly considered to be part of ADME. [Pg.450]


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See also in sourсe #XX -- [ Pg.696 ]




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