Computational predictions of binding affinities to dihydrofolate reductase: synthesis and biological evaluation of methotrexate analogues

M Graffner-Nordberg, J Marelius, S Ohlsson, A Persson, G Swedberg, P Andersson, Sven Andersson, J Aqvist, A Hallberg

Research output: Contribution to journalArticlepeer-review

33 Citations (SciVal)

Abstract

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 IC(50) 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.
Original languageEnglish
Pages (from-to)3852-3861
JournalJournal of Medicinal Chemistry
Volume43
Issue number21
DOIs
Publication statusPublished - 2000

Subject classification (UKÄ)

  • Medicinal Chemistry

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