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Computational predictions of binding affinities to dihydrofolatereductase: synthesis and biological evaluation of methotrexate analogues
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry. (Organic Pharmaceutical Chemistry)
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2000 (English)In: Journal of Medicinal Chemistry, ISSN 0022-2623, E-ISSN 1520-4804, Vol. 43, no 21, 3852-3861 p.Article in journal (Refereed) Published
Abstract [en]

The relative binding affinities to human dihydrofolate reductase of four new potential antifolates, containing ester linkages between the two aromatic systems, were estimated by free energy perturbation simulations. The ester analogue, predicted to exhibit the highest binding affinity to human dihydrofolate reductase, and a reference ester (more structurally related to methotrexate) were synthesized. As deduced from the measured IC50 values, the calculated ranking of the ligands was correct although a greater difference in affinity was indicated by the experimental measurements. Among the new antifolates the most potent inhibitor exhibited a similar pharmacokinetic profile to methotrexate but lacked activity in a complex antiarthritic model in rat in vivo.

Place, publisher, year, edition, pages
2000. Vol. 43, no 21, 3852-3861 p.
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Pharmaceutical Sciences
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URN: urn:nbn:se:uu:diva-51300DOI: 10.1021/jm0009639ISI: 000090111600007PubMedID: 11052790OAI: oai:DiVA.org:uu-51300DiVA: diva2:79209
Available from: 2008-10-17 Created: 2008-10-17 Last updated: 2017-12-04

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Graffner-Nordberg, Malin

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