Computationally efficient algorithm to identify matched molecular pairs (MMPs) in large data sets.

Modern drug discovery organizations generate large volumes of SAR data. A promising methodology that can be used to mine this chemical data to identify novel structure-activity relationships is the matched molecular pair (MMP) methodology. However, before the full potential of the MMP methodology can be utilized, a MMP identification method that is capable of identifying all MMPs in large chemical data sets on modest computational hardware is required. In this paper we report an algorithm that is capable of systematically generating all MMPs in chemical data sets. Additionally, the algorithm is computationally efficient enough to be applied on large data sets. As an example the algorithm was used to identify the MMPs in the approximately 300k NIH MLSMR set. The algorithm identified approximately 5.3 million matched molecular pairs in the set. These pairs cover approximately 2.6 million unique molecular transformations.

Lead optimization using matched molecular pairs: inclusion of contextual information for enhanced prediction of HERG inhibition, solubility, and lipophilicity.

Previous studies of the analysis of molecular matched pairs (MMPs) have often assumed that the effect of a substructural transformation on a molecular property is independent of the context (i.e., the local structural environment in which that transformation occurs). Experiments with large sets of hERG, solubility, and lipophilicity data demonstrate that the inclusion of contextual information can enhance the predictive power of MMP analyses, with significant trends (both positive and negative) being identified that are not apparent when using conventional, context-independent approaches.

Discovery of a Potent, Cell Penetrant, and Selective p300/CBP-Associated Factor (PCAF)/General Control Nonderepressible 5 (GCN5) Bromodomain Chemical Probe.

p300/CREB binding protein associated factor (PCAF/KAT2B) and general control nonderepressible 5 (GCN5/KAT2A) are multidomain proteins that have been implicated in retroviral infection, inflammation pathways, and cancer development. However, outside of viral replication, little is known about the dependence of these effects on the C-terminal bromodomain. Herein, we report GSK4027 as a chemical probe for the PCAF/GCN5 bromodomain, together with GSK4028 as an enantiomeric negative control. The probe was optimized from a weakly potent, nonselective pyridazinone hit to deliver high potency for the PCAF/GCN5 bromodomain, high solubility, cellular target engagement, and ≥18000-fold selectivity over the BET family, together with ≥70-fold selectivity over the wider bromodomain families.

1,3-Dimethyl Benzimidazolones Are Potent, Selective Inhibitors of the BRPF1 Bromodomain.

The BRPF (bromodomain and PHD finger-containing) protein family are important scaffolding proteins for assembly of MYST histone acetyltransferase complexes. Here, we report the discovery, binding mode, and structure-activity relationship (SAR) of the first potent, selective series of inhibitors of the BRPF1 bromodomain.