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

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

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

J Med Chem. 2000 Oct 19;43(21):3852-61.

PubMed ID

11052790 [ View in PubMed

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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.

DrugBank Data that Cites this Article

Binding Properties

Drug	Target	Property	Measurement	pH	Temperature (°C)
Methotrexate	Dihydrofolate reductase	IC 50 (nM)	2	N/A	N/A	Details