Estimating protein-ligand binding affinity using high-throughput screening by NMR

Matthew D. Shortridge, David S. Hage, Gerard S. Harbison, Robert Powers

Research output: Contribution to journalArticlepeer-review

88 Scopus citations


Many of today's drug discovery programs use high-throughput screening methods that rely on quick evaluations of protein activity to rank potential chemical leads. By monitoring biologically relevant protein-ligand interactions, NMR can provide a means to validate these discovery leads and to optimize the drug discovery process. NMR-based screens typically use a change in chemical shift or line width to detect a protein-ligand interaction. However, the relatively low throughput of current NMR screens and their high demand on sample requirements generally makes it impractical to collect complete binding curves to measure the affinity for each compound in a large and diverse chemical library. As a result, NMR ligand screens are typically limited to identifying candidates that bind to a protein and do not give any estimate of the binding affinity. To address this issue, a methodology has been developed to rank binding affinities for ligands based on NMR screens that use ID 1H NMR line-broadening experiments. This method was demonstrated by using it to estimate the dissociation equilibrium constants for twelve ligands with the protein human serum albumin (HSA). The results were found to give good agreement with previous affinities that have been reported for these same ligands with HSA.

Original languageEnglish (US)
Pages (from-to)948-958
Number of pages11
JournalJournal of Combinatorial Chemistry
Issue number6
StatePublished - Nov 2008

ASJC Scopus subject areas

  • General Chemistry


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