A bioavailability score.
By Y. Martin. Journal of Medicinal Chemistry, 2005
905 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Oncology, Organic Chemistry
View Paper: https://www.semanticscholar.org/paper/197b5a5b963ecb0f6003e67d4497b38b131fe0ce
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Michael J. Waring
- John A. Arnott
- S. Planey
- B. Springthorpe
- Jill E. Gready
- Andrey A. Bliznyuk
- Hernán Alonso
- Gerhard Klebe
In Oncology
- B. Springthorpe
- Jill E. Gready
- Andrey A. Bliznyuk
- Hernán Alonso
- Michael J. Waring
- Gerhard Klebe
- Paul D. Leeson
- John A. Arnott
In Organic Chemistry
Citations in the corpus
- Lipophilicity in drug discovery (2010, background): “Martin has shown that different rules can perform better for different ionisation types to predict rat bioavailability for a series of 553 Abbott compounds [47].”
- Combining docking and molecular dynamic simulations in drug design (2006, background): “21,22 Similarly, drug-likeness of potential leads may be less important at the early stages than ease of the molecule to experimental validation with in vitro assays and X-ray crystallography.”
- Virtual ligand screening: strategies, perspectives and limitations (2006, background): “and Martin, E.J. (2004) Target-based scoring approaches and expert”
- The influence of drug-like concepts on decision-making in medicinal chemistry (2007, background): “, and number of rule-of-five violations, PSA and ionization stat”
- The influence of lipophilicity in drug discovery and design (2012, background): “However there have been studies that have failed to show a direct correlation between log P and bioavailability [69] and these studies suggest that other parameters like PSA, rotatable bonds, and ionization state are better predictors of bioavailability [5,12,69].”