Jean‐Michel Henlin
Papers
3
Total Citations
22
H-Index
3
About
Jean-Michel Henlin is a medicinal chemist and combinatorial chemistry specialist whose research has focused on the development of innovative approaches to drug discovery through automated library synthesis and lead optimization. Working at the intersection of peptide chemistry and pharmacology, Henlin made meaningful contributions to the field of high-throughput synthesis during the late 1990s and early 2000s, a transformative era for drug discovery methodology. His most recognized work, cited nearly 20 times across related publications, centers on the robotic synthesis of soluble peptide and nonpeptide libraries, in which he helped systematize the "mix and divide" combinatorial approach and proposed optimized sets of amino acid building blocks designed to maximize molecular diversity. This methodology provided researchers with a practical framework for rapidly generating and screening large compound collections. Henlin also applied these combinatorial strategies to a specific therapeutic target, conducting a landmark study involving a 331,776-member tetrapeptide library to identify inhibitors of S-farnesyltransferase, an enzyme implicated in oncogenic signaling pathways. This work demonstrated how systematic library deconvolution could guide the transition from peptide hits to refined nonpeptide drug candidates, illustrating the real-world translational value of his synthetic innovations.
Research Focus
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Top Papers
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