Chaudhary D.,Nimbus Discovery |
Robinson S.,Schrodinger |
Romero D.L.,Nimbus Discovery
Journal of Medicinal Chemistry | Year: 2015
IRAK4, a serine/threonine kinase, plays a key role in both inflammation and oncology diseases. Herein, we summarize the compelling biology surrounding the IRAK4 signaling node in disease, review key structural features of IRAK4 including selectivity challenges, and describe efforts to discover clinically viable IRAK4 inhibitors. Finally, a view of knowledge gained and remaining challenges is provided. © 2014 American Chemical Society.
Wang L.,Schrodinger |
Wu Y.,Schrodinger |
Deng Y.,Schrodinger |
Kim B.,Schrodinger |
And 25 more authors.
Journal of the American Chemical Society | Year: 2015
Designing tight-binding ligands is a primary objective of small-molecule drug discovery. Over the past few decades, free-energy calculations have benefited from improved force fields and sampling algorithms, as well as the advent of low-cost parallel computing. However, it has proven to be challenging to reliably achieve the level of accuracy that would be needed to guide lead optimization (5× in binding affinity) for a wide range of ligands and protein targets. Not surprisingly, widespread commercial application of free-energy simulations has been limited due to the lack of large-scale validation coupled with the technical challenges traditionally associated with running these types of calculations. Here, we report an approach that achieves an unprecedented level of accuracy across a broad range of target classes and ligands, with retrospective results encompassing 200 ligands and a wide variety of chemical perturbations, many of which involve significant changes in ligand chemical structures. In addition, we have applied the method in prospective drug discovery projects and found a significant improvement in the quality of the compounds synthesized that have been predicted to be potent. Compounds predicted to be potent by this approach have a substantial reduction in false positives relative to compounds synthesized on the basis of other computational or medicinal chemistry approaches. Furthermore, the results are consistent with those obtained from our retrospective studies, demonstrating the robustness and broad range of applicability of this approach, which can be used to drive decisions in lead optimization. © 2015 American Chemical Society.