Donna L. Romero
Stanford University
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Publication
Featured researches published by Donna L. Romero.
Journal of the American Chemical Society | 2015
Lingle Wang; Yujie Wu; Yuqing Deng; Byungchan Kim; Levi C. T. Pierce; Goran Krilov; Dmitry Lupyan; Shaughnessy Robinson; Markus K. Dahlgren; Jeremy R. Greenwood; Donna L. Romero; Craig E. Masse; Jennifer L. Knight; Thomas Steinbrecher; Thijs Beuming; Wolfgang Damm; Ed Harder; Woody Sherman; Mark L. Brewer; Ron Wester; Mark A. Murcko; Leah L. Frye; Ramy Farid; Teng-Yi Lin; David L. Mobley; William L. Jorgensen; B. J. Berne; Robert Abel
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.
Journal of Medicinal Chemistry | 2015
Divya Chaudhary; Shaughnessy Robinson; Donna L. Romero
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.
Cancer Research | 2014
Priscilla N. Kelly; Divya Chaudhary; Ryan M. Young; Art Shaffer; Shaughnessy Robinson; Donna L. Romero; Rosana Kapeller; Louis M. Staudt
Pathologic activation of the Toll-like receptor (TLR) pathway underlies various human disorders such as autoimmune diseases, chronic inflammatory diseases and lymphoid malignancies. Current therapy of these diseases relies on immunosuppressive or chemotherapeutic agents, but more effective therapies tailored to disease-causing mechanisms are required. The IL-1 receptor-associated kinase 4 (IRAK4), is critical to TLR signaling and is recruited to TLRs by the adapter protein MyD88. Gain-of-function MYD88 mutations are activated by IRAK4 kinase in several mature B cell malignancies, including activated B-cell-like diffuse large B cell lymphoma (ABC DLBCL). Development of selective IRAK4 kinase inhibitors has been confounded by the challenging structure of IRAK4 catalytic domain. Using structure-based drug design methodologies, we identified potent and selective IRAK4 kinase inhibitors. ABC DLBCL cell lines that specifically harbor activating MYD88 mutations are killed by these inhibitors, both in vitro and in mouse xenograft models. Gene expression profiling revealed that IRAK4 kinase inhibitors downregulated prosurvival NF-κB signatures, and cytokine analysis showed a decrease in the production of inflammatory cytokines IL-6 and IL-10. Our findings open new possibilities for the therapy of malignant diseases that rely upon IRAK4 kinase. Citation Format: Priscilla N. Kelly, Divya Chaudhary, Ryan M. Young, Art Shaffer, Shaughnessy Robinson, Donna L. Romero, Rosana Kapeller, Louis M. Staudt. Highly potent and selective interleukin-1 receptor-associated kinase 4 inhibitors for the therapy of lymphoid malignancies. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-112. doi:10.1158/1538-7445.AM2014-LB-112
Journal of the American Chemical Society | 1994
Barry M. Trost; Donna L. Romero; Frode Rise
Archive | 2013
Donna L. Romero; Shaughnessy Robinson; Jeremy R. Greenwood
Blood | 2012
Kian-Huat Lim; Donna L. Romero; Divya Chaudhary; Shaughnessy Robinson; Louis M. Staudt
Archive | 2014
Donna L. Romero; Divya Chaudhary; Shaughnessy Robinson; Craig E. Masse; Michael Morin
Blood | 2013
Nancy Wood; Donna L. Romero; Shaughnessy Robinson; Jeremy R. Greenwood; Mee Shelley; Michael Morin; Rosana Kapeller; William F. Westlin
Blood | 2013
Divya Chaudhary; Lillian Werner; Reina Improgo; Nathalie Pochet; Stacey M. Fernandes; Kevin Hoang; Alexander R. Vartanov; Donna L. Romero; Shaughnessy Robinson; Donna Neuberg; William F. Westlin; Jennifer R. Brown
Archive | 2017
Craig E. Masse; Donna L. Romero; Geraldine Harriman; Jeremy Robert Greenwood; Mee Shelley; Ronald T Wester; Rosana Kapeller-Libermann; Shaughnessy Robinson