James Michael Woolven

Fragment-based discovery of bromodomain inhibitors part 1: inhibitor binding modes and implications for lead discovery.

Bromodomain-containing proteins are key epigenetic regulators of gene transcription and readers of the histone code. However, the therapeutic benefits of modulating this target class are largely unexplored due to the lack of suitable chemical probes. This article describes the generation of lead molecules for the BET bromodomains through screening a fragment set chosen using structural insights and computational approaches. Analysis of 40 BRD2/fragment X-ray complexes highlights both shared and disparate interaction features that may be exploited for affinity and selectivity. Six representative crystal structures are then exemplified in detail. Two of the fragments are completely new bromodomain chemotypes, and three have never before been crystallized in a bromodomain, so our results significantly extend the limited public knowledge-base of crystallographic small molecule/bromodomain interactions. Certain fragments (including paracetamol) bind in a consistent mode to different bromodomains such as CREBBP, suggesting their potential to act as generic bromodomain templates. An important implication is that the bromodomains are not only a phylogenetic family but also a system in which chemical and structural knowledge of one bromodomain gives insights transferrable to others.

Synthesis and Structure-Activity Relationships of 4-Pyridones as Potential Antimalarials

A series of diaryl ether substituted 4-pyridones have been identified as having potent antimalarial activity superior to that of chloroquine against Plasmodium falciparum in vitro and murine Plasmodium yoelii in vivo. These were derived from the anticoccidial drug clopidol through a systematic study of the effects of varying the side chain on activity. Relative to clopidol the most active compounds show >500-fold improvement in IC50 for inhibition of P. falciparum in vitro and about 100-fold improvement with respect to ED50 against P. yoelii in mice. These compounds have been shown elsewhere to act selectively by inhibition of mitochondrial electron transport at the cytochrome bc1 complex.

Identification of a Novel and Selective Series of Itk Inhibitors via a Template-Hopping Strategy.

Inhibition of Itk potentially constitutes a novel, nonsteroidal treatment for asthma and other T-cell mediated diseases. In-house kinase cross-screening resulted in the identification of an aminopyrazole-based series of Itk inhibitors. Initial work on this series highlighted selectivity issues with several other kinases, particularly AurA and AurB. A template-hopping strategy was used to identify a series of aminobenzothiazole Itk inhibitors, which utilized an inherently more selective hinge binding motif. Crystallography and modeling were used to rationalize the observed selectivity. Initial exploration of the SAR around this series identified potent Itk inhibitors in both enzyme and cellular assays.

A Perspective on Water Site Prediction Methods for Structure Based Drug Design

Over the last decade, a number of computational methods have been developed, which attempt to evaluate the thermodynamic properties of individual water molecules at the solute-solvent interface, in order to assess contributions to protein-ligand binding. In some cases, these tools tell us what we already know, e.g. that hydrophobic pockets prefer lipophilic substituents, and in other cases the methods only seem to add clarity when retrospectively applied. Hence we have grappled with how to utilize such approaches to understand non-intuitive results and to generate chemistry ideas that otherwise would not have been developed. Here we provide our perspective on these methods and describe how results have been interpreted and applied. We include examples from GSK and elsewhere that highlight how water methods have been (1) utilized retrospectively to explain non-intuitive structure- activity relationships and (2) applied prospectively for chemistry design. Finally, we discuss where this field of study could lead to maximal impact in drug discovery research.