Expanding the chemical
space and simultaneously ensuring synthetic
accessibility is of upmost importance, not only for the discovery
of effective binders for novel protein classes but, more importantly,
for the development of compounds against hard-to-drug proteins. Here,
we present AutoCouple, a de novo approach to computational ligand
design focused on the diversity-oriented generation of chemical entities
via virtual couplings. In a benchmark application, chemically diverse
compounds with low-nanomolar potency for the CBP bromodomain and high
selectivity against the BRD4(1) bromodomain were achieved by the synthesis
of about 50 derivatives of the original fragment. The binding mode
was confirmed by X-ray crystallography, target engagement in cells
was demonstrated, and antiproliferative activity was showcased in
three cancer cell lines. These results reveal AutoCouple as a useful
in silico coupling method to expand the chemical space in hit optimization
campaigns resulting in potent, selective, and cell permeable bromodomain
ligands.