Identification of Small-Molecule Noncovalent Binders Utilizing SAMDI Technology
Erica C VanderPorten1, Michael D Scholle2, John Sherrill2
11 Biochemical and Cellular Pharmacology Department, Genentech Inc., San Francisco, CA, USA.
SLAS Discovery : Advancing Life Sciences R & D
|June 6, 2017
Summary
This study introduces Self-Assembled Monolayers and matrix-assisted laser Desorption Ionization (SAMDI) for label-free mass spectrometry screening in drug discovery. SAMDI enhances throughput and accuracy for identifying small-molecule interactions, even with limited target assays.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Drug Discovery
Background:
- Mass spectrometry (MS) is increasingly vital in drug discovery for analyzing complex mixtures.
- High-throughput screening (HTS) requires robust assays, especially for targets lacking alternative methods.
- Label-free MS offers high accuracy and resolving power for analyte identification.
Purpose of the Study:
- To present a novel screening format using Self-Assembled Monolayers and matrix-assisted laser Desorption Ionization (SAMDI) technology.
- To demonstrate SAMDI's utility for label-free, high-throughput screening of small-molecule interactions.
- To validate SAMDI's performance in affinity capture, noncovalent interaction identification, and binding affinity assessment.
Main Methods:
- Utilized Self-Assembled Monolayers (SAM) for affinity capture of target proteins.
- Employed matrix-assisted laser Desorption Ionization (MALDI) time-of-flight mass spectrometry for ionization and detection.
- Implemented a pooled library format for enhanced screening throughput.
- Minimized variability using uniformly saturated protein surfaces to avoid crystallization hotspots.
Main Results:
- SAMDI technology enabled label-free identification of noncovalent compound interactions.
- Reduced interference from salts, detergents, and matrix through high-resolution MS.
- Achieved improved screening throughput irrespective of enzyme activity using pooled libraries.
- Demonstrated correlation between binding affinity rank ordering and biochemical assay potency data.
Conclusions:
- SAMDI provides a robust and high-throughput platform for MS-based drug discovery screening.
- The technology overcomes common challenges in MS screening, such as shot-to-shot variability and interference.
- SAMDI effectively identifies and ranks small-molecule binders, supporting early-stage drug development.


