Simon J. F. Macdonald
Computational Theory and Mathematics · 2009–2011
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computational Theory and Mathematics — 7 citations into it; #10,212 of 12,182 by trust here, #4,059 by citations
- Spectroscopy — 6 citations into it
- Pharmacology — 5 citations into it; #669 of 1,112 by trust here, #597 by citations
Whom Simon J. F. Macdonald trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Christopher A. Lipinski (in Computational Theory and Mathematics)
Who trusts Simon J. F. Macdonald
- M. Hann (in Computational Theory and Mathematics)
- Michael J. Waring (in Computational Theory and Mathematics)
Papers from Simon J. F. Macdonald's perspective
Ordered by how strongly the researchers Simon J. F. Macdonald trusts endorse each paper. Same corpus, a different order for every researcher.
- Molecular properties that influence the oral bioavailability of drug candidates. (Journal of Medicinal Chemistry)
- Molecular Complexity and Its Impact on the Probability of Finding Leads for Drug Discovery (Journal of chemical information and computer sciences)
- Drug-like properties and the causes of poor solubility and poor permeability. (Journal of pharmacological and toxicological methods)
- Physiochemical drug properties associated with in vivo toxicological outcomes. (Bioorganic & Medicinal Chemistry Letters)
- A bioavailability score. (Journal of Medicinal Chemistry)
- Is There a Difference between Leads and Drugs? A Historical Perspective (Journal of chemical information and computer sciences)
- Lead- and drug-like compounds: the rule-of-five revolution. (Drug Discovery Today : Technologies)
- Global mapping of pharmacological space
- Structure-based maximal affinity model predicts small-molecule druggability (Nature Biotechnology)
- Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure (ChemMedChem)
Their papers
- The impact of aromatic ring count on compound developability--are too many aromatic rings a liability in drug design? (2009) — 762 citations
- Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity (2010) — 120 citations
- The impact of aromatic ring count on compound developability: further insights by examining carbo- and hetero-aromatic and -aliphatic ring types. (2011) — 388 citations