Publications by authors named "Fong Sang Lam"

Small molecules that can bind to specific cells have broad application in cancer diagnosis and treatment. Screening large chemical libraries against live cells is an effective strategy for discovering cell-targeting ligands. The DNA-encoded chemical library (DEL or DECL) technology has emerged as a robust tool in drug discovery and has been successfully utilized in identifying ligands for biological targets.

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Article Synopsis
  • Identifying active ligands for membrane proteins is crucial in chemical biology, and a new method allows for the direct selection of small molecule agonists using DNA-encoded libraries on live cells.
  • This technique cleverly links how ligands bind to receptors outside the cell with the resulting biochemical changes inside the cell, enhancing the likelihood of finding effective agonists.
  • Testing this method on three membrane proteins (EGFR, TPOR, and INSR), researchers discovered novel agonists that are highly effective, with some binding to unique sites and activating important signaling pathways without triggering unwanted effects in related receptors.
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DNA-encoded chemical libraries (DELs) have become a powerful technology platform in drug discovery. Dual-pharmacophore DELs display two sets of small molecules at the termini of DNA duplexes, thereby enabling the identification of synergistic binders against biological targets, and have been successfully applied in fragment-based ligand discovery and affinity maturation of known ligands. However, dual-pharmacophore DELs identify separate binders that require subsequent linking to obtain the full ligands, which is often challenging.

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Dynamic combinatorial libraries (DCLs) is a powerful tool for ligand discovery in biomedical research; however, the application of DCLs has been hampered by their low diversity. Recently, the concept of DNA encoding has been employed in DCLs to create DNA-encoded dynamic libraries (DEDLs); however, all current DEDLs are limited to fragment identification, and a challenging process of fragment linking is required after selection. We report an anchor-directed DEDL approach that can identify full ligand structures from large-scale DEDLs.

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