Summary
Several approaches have been developed for screening combinatorial libraries or collections of synthetic molecules for agonists or antagonists of protein function, each with its own advantages and limitations. In this report, we describe an experimental platform that seamlessly couples massively parallel bead-based screening of one bead one compound combinatorial libraries with microarray-based quantitative comparisons of the binding affinities of the many hits isolated from the bead library. Combined with other technical improvements, this technique allows the rapid identification of the best protein ligands in combinatorial libraries containing millions of compounds without the need for labor-intensive re-synthesis of the hits.
Haibin Su received his Ph.D. from Stony Brook University (USA) in condensed matter theory and performed his thesis projects at BrookhavenN ational Laboratory,f ollowed by at hree-year stint at Caltech (USA) as ap ostdoctoral scholar in Professor William Goddard's group. He had been af aculty member at Nanyang Technological University (Singapore)s ince 2005, prior to joining The Hong Kong University of Science and Technology in 2018. His research interests include methodology development for characterizing structural, energetic, kinetic, and dynamic properties and functions of complex physical,c hemical, and biological systems at multiple spatial and temporal scales.
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