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CPSA Digest 2001

New Technologies and Approaches for Increasing Drug Candidate Survivability:
Lead Identification to Lead Optimization

October 9-11, 2001

CPSA Digest 2001

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Proceedings -Thursday, October 11, 2001

ThOA1



Predictive Method for Drug Discovery:
Screening Using Fourier Transform Mass Spectrometry

Steven Hofstadler, Ibis Therapeutics

Background

DNA is transcribed into RNA and RNA is translated into proteins. Most therapeutic efforts focus on binding small molecules to these proteins. At Isis, RNA is seen as a therapeutic target. Isis makes a synthetic RNA molecule which has a complementary sequence; it prevents a specific protein from being made. Mass spectrometry is used to find these binders. Structured RNAs have thus emerged as an exciting new target for small molecule therapeutics.

Premise:
With the advent of mild ionization techniques, such as ESI, it became possible not only to obtain low fragmentation mass spectra of individual mixture compounds but also to detect and analyze their non-covalent complexes formed in solution. The Fourier transform ion cyclotron resonance (FTICR) mass spectrometry offers particular advantages for the study of non-covalent complexes. Besides high sensitivity, FTICR MS provides mild interface conditions that can be used to obtain intact non-covalent complex ions with a good signal to noise ratio. Another unique feature of the method is its ability to selectively accumulate certain ions in the trap allowing one to study minor mixture components.

High throughput screening mode is used to identify small molecules that bind RNA targets; FTICR is seen as an alternative to classical high-throughput screening of combinatorial libraries. The MASS (Multitarget Affinity/Specificity Screening) assay takes advantage of the "intrinsic mass" label of each compound and target RNA by employing high resolution, high precision mass measurements. The ability to analyze complex mixtures allows large mixtures to be screened in the presence of multiple RNA targets simultaneously. The identity of the small molecule(s) which bind, the RNA target to which it binds, the compound-specific binding affinity, and the location of the binding site on the RNA can be determined in one set of rapid experiments. The MASS assay detects noncovalent complexes with dissociation constants of < ˜5 mM, with high sensitivity and is presently being employed to screen large compound collections against multiple RNA targets.

Some throughput numbers reported are as follows:

  • Rapidly evaluate the affinity of compounds for targets
  • 55 sec / well
  • 3 targets x 10 compounds / well
  • 16 plates / day
  • 16,000 samples per day or 48,000 targets / day
  • Run nonstop for 4 days then give MS a break for cleaning
  • Injection volume is 7.5 uL / well
  • Can detect 18 pmol RNA/target/well

A ligand-based drug discovery strategy based on SAR was also presented. Briefly, the strategy is based on using a mass spectrometry to measure the affinity of chemical motifs for a target; performing competitive binding experiments and molecular modeling with the motifs to determine the binding site(s) of the ligands; fusing binding motifs into a more complex structure to afford higher affinity compounds, and identifying the appropriate linker group using MS. Using this approach, ligand binding is independent of other ligands in solution. Throughput was expressed at 3 targets analyzed with 25 compounds/well, and each compound at a concentration of 50 uM.

Links

Steven Hofstadler and Richard Griffey, "Mass spectrometry as a drug discovery platform against RNA targets." Current Opinion in Drug Discovery & Development 3(4), 423-431 (2000).

JE Bruce, GA Anderson, R Chen, X Cheng, DC Gale, SA Hofstadler, BL Schwartz and RD Smith, "Bio-affinity characterization mass spectrometry." Rapid Commun Mass Spectrom 9, 644-650 (1995).
A general overview is provided for Fourier-transform ion cyclotron resonance mass spectrometry that, in combination with ESI, allows the investigation of specific non-covalent complexes formed in solution.



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