Literature DB >> 11347958

Physicochemical properties in pharmacokinetic lead optimization.

S D Krämer1, H Wunderli-Allenspach.   

Abstract

The ADME (absorption, distribution in the body, metabolism and elimination from the body) profile of a drug determines its pharmacokinetics in the body. Modern drug design includes the modeling of pharmacokinetically favorable behavior. The pharmacokinetic parameters of most interest concern intestinal absorption, blood-brain barrier (BBB) passage and metabolism. Traditionally, experimental parameters such as partition coefficients and chromatographic capacity factors have been used for the estimation of intestinal absorption or BBB passage of newly synthesized compounds. Several studies have shown a sigmoidal relationship between intestinal absorption and lipophilicity. The latter is usually expressed by the apparent partition coefficient log D in a biphasic system at physiological pH or by the affinity to a lipophilic phase determined by chromatographic techniques. In contrast, structure-based descriptors need no experimental investigation of the compound studied. The most relevant descriptors give information on hydrogen-bonding characteristics and molecular volume. In recent years, attempts have been made to recognize substrates for multidrug resistance proteins by their structure characteristics without crucial success. There is evidence that multidrug resistance is not only driven by direct protein-substrate recognition, but also by the behavior of the compound in the lipid environment of the protein.

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Year:  2001        PMID: 11347958     DOI: 10.1016/s0014-827x(01)01028-x

Source DB:  PubMed          Journal:  Farmaco        ISSN: 0014-827X


  5 in total

1.  Assessment of DCE-MRI parameters for brain tumors through implementation of physiologically-based pharmacokinetic model approaches for Gd-DOTA.

Authors:  Marios Spanakis; Eleftherios Kontopodis; Sophie Van Cauter; Vangelis Sakkalis; Kostas Marias
Journal:  J Pharmacokinet Pharmacodyn       Date:  2016-09-19       Impact factor: 2.745

2.  Evaluation of the Success of High-Throughput Physiologically Based Pharmacokinetic (HT-PBPK) Modeling Predictions to Inform Early Drug Discovery.

Authors:  Doha Naga; Neil Parrott; Gerhard F Ecker; Andrés Olivares-Morales
Journal:  Mol Pharm       Date:  2022-04-27       Impact factor: 5.364

Review 3.  A Supramolecular Approach to Structure-Based Design with A Focus on Synthons Hierarchy in Ornithine-Derived Ligands: Review, Synthesis, Experimental and in Silico Studies.

Authors:  Joanna Bojarska; Milan Remko; Martin Breza; Izabela D Madura; Krzysztof Kaczmarek; Janusz Zabrocki; Wojciech M Wolf
Journal:  Molecules       Date:  2020-03-03       Impact factor: 4.411

Review 4.  Neuropsychiatric Consequences of Lipophilic Beta-Blockers.

Authors:  Sabina Alexandra Cojocariu; Alexandra Maștaleru; Radu Andy Sascău; Cristian Stătescu; Florin Mitu; Maria Magdalena Leon-Constantin
Journal:  Medicina (Kaunas)       Date:  2021-02-09       Impact factor: 2.430

5.  Exploring the role of octanol-water partition coefficient and Henry's law constant in predicting the lipid-water partition coefficients of organic chemicals.

Authors:  Muhammad Irfan Khawar; Azhar Mahmood; Deedar Nabi
Journal:  Sci Rep       Date:  2022-09-02       Impact factor: 4.996

  5 in total

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