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Dive into the research topics where Gregory L. Durst is active.

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Featured researches published by Gregory L. Durst.


Journal of Medicinal Chemistry | 2006

Benzopyrans are selective estrogen receptor Beta agonists with novel activity in models of benign prostatic hyperplasia.

Bryan H. Norman; Jeffrey Alan Dodge; Timothy I. Richardson; Peter S. Borromeo; Charles Willis Lugar; Scott Alan Jones; Keyue Chen; Yong Wang; Gregory L. Durst; Robert J. Barr; Chahrzad Montrose-Rafizadeh; Harold E. Osborne; Robert M. Amos; Sherry Guo; and Amechand Boodhoo; Venkatesh Krishnan

Benzopyran selective estrogen receptor beta agonist-1 (SERBA-1) shows potent, selective binding and agonist function in estrogen receptor beta (ERbeta) in vitro assays. X-ray crystal structures of SERBA-1 in ERalpha and beta help explain observed beta-selectivity of this ligand. SERBA-1 in vivo demonstrates involution of the ventral prostate in CD-1 mice (ERbeta effect), while having no effect on gonadal hormone levels (ERalpha effect) at 10x the efficacious dose, consistent with in vitro properties of this molecule.


Journal of Chemical Information and Computer Sciences | 2001

Three-dimensional quantitative structure-permeability relationship analysis for a series of inhibitors of rhinovirus replication.

Sean Ekins; Gregory L. Durst; Robert E. Stratford; David A. Thorner; Richard A. Lewis; Richard J. Loncharich; James H. Wikel

Multiple three-dimensional quantitative structure-activity relationship (3D-QSAR) approaches were applied to predicting passive Caco-2 permeability for a series of 28 inhibitors of rhinovirus replication. Catalyst, genetic function approximation (GFA) with MS-WHIM descriptors, CoMFA, and VolSurf were all used for generating 3D-quantitative structure permeability relationships utilizing a training set of 19 molecules. Each of these approaches was then compared using a test set of nine molecules not present in the training set. Statistical parameters for the test set predictions (r(2) and leave-one-out q(2)) were used to compare the models. It was found that the Catalyst pharmacophore model was the most predictive (test set of predicted versus observed permeability, r(2) = 0.94). This model consisted of a hydrogen bond acceptor, hydrogen bond donor, and ring aromatic feature with a training set correlation of r(2) = 0.83. The CoMFA model consisted of three components with an r(2) value of 0.96 and produced good predictions for the test set (r(2) = 0.84). VolSurf resulted in an r(2) value of 0.76 and good predictions for the test set (r(2) = 0.83). Test set predictions with GFA/WHIM descriptors (r(2) = 0.46) were inferior when compared with the Catalyst, CoMFA, and VolSurf model predictions in this evaluation. In summary it would appear that the 3D techniques have considerable value in predicting passive permeability for a congeneric series of molecules, representing a valuable asset for drug discovery.


Bioorganic & Medicinal Chemistry | 2016

Structural features underlying raloxifene's biophysical interaction with bone matrix

Nicoletta Bivi; Haitao Hu; Balagopalakrishna Chavali; Michael J. Chalmers; Christopher T. Reutter; Gregory L. Durst; Anna Riley; Masahiko Sato; Matthew R. Allen; David B. Burr; Jeffrey Alan Dodge

Raloxifene, a selective estrogen receptor modulator (SERM), reduces fracture risk at least in part by improving the mechanical properties of bone in a cell- and estrogen receptor-independent manner. In this study, we determined that raloxifene directly interacts with the bone tissue. Through the use of multiple and complementary biophysical techniques including nuclear magnetic resonance (NMR) and Fourier transform infrared spectroscopy (FTIR), we show that raloxifene interacts specifically with the organic component or the organic/mineral composite, and not with hydroxyapatite. Structure-activity studies reveal that the basic side chain of raloxifene is an instrumental determinant in the interaction with bone. Thus, truncation of portions of the side chain reduces bone binding and also diminishes the increase in mechanical properties. Our results support a model wherein the piperidine interacts with bone matrix through electrostatic interactions with the piperidine nitrogen and through hydrophobic interactions (van der Waals) with the aliphatic groups in the side chain and the benzothiophene core. Furthermore, in silico prediction of the potential binding sites on the surface of collagen revealed the presence of a groove with sufficient space to accommodate raloxifene analogs. The hydroxyl groups on the benzothiophene nucleus, which are necessary for binding of SERMs to the estrogen receptor, are not required for binding to the bone surface, but mediate a more robust binding of the compound to the bone powder. In conclusion, we report herein a novel property of raloxifene analogs that allows them to interact with the bone tissue through potential contacts with the organic matrix and in particular collagen.


Bioorganic & Medicinal Chemistry Letters | 2015

Design and synthesis of a novel series of [1-(4-hydroxy-benzyl)-1H-indol-5-yloxy]-acetic acid compounds as potent, selective, thyroid hormone receptor β agonists

Timothy Paul Burkholder; Brian Eugene Cunningham; Joshua Ryan Clayton; Peter Ambrose Lander; Matthew L. Brown; Robert Anthony Doti; Gregory L. Durst; Chahrzad Montrose-Rafizadeh; Constance King; Harold E. Osborne; Robert M. Amos; Richard W. Zink; Lawrence E. Stramm; Thomas P. Burris; Guemalli R. Cardona; Debra L. Konkol; Charles Reidy; Michael E. Christe; Michael James Genin

The design, synthesis, and structure activity relationships for a novel series of indoles as potent, selective, thyroid hormone receptor β (TRβ) agonists is described. Compounds with >50× binding selectivity for TRβ over TRα were generated and evaluation of compound 1c from this series in a model of dyslipidemia demonstrated positive effects on plasma lipid endpoints in vivo.


Bioorganic & Medicinal Chemistry Letters | 2016

Identification of potent and selective retinoic acid receptor gamma (RARγ) antagonists for the treatment of osteoarthritis pain using structure based drug design.

Norman E. Hughes; Thomas John Bleisch; Scott Alan Jones; Timothy I. Richardson; Robert Anthony Doti; Yong Wang; Stephanie L. Stout; Gregory L. Durst; Mark Chambers; J.L. Oskins; C. Lin; Lisa A. Adams; Todd J. Page; Robert J. Barr; Richard W. Zink; Harold E. Osborne; Chahrzad Montrose-Rafizadeh; Bryan H. Norman

A series of triaryl pyrazoles were identified as potent pan antagonists for the retinoic acid receptors (RARs) α, β and γ. X-ray crystallography and structure-based drug design were used to improve selectivity for RARγ by targeting residue differences in the ligand binding pockets of these receptors. This resulted in the discovery of novel antagonists which maintained RARγ potency but were greater than 500-fold selective versus RARα and RARβ. The potent and selective RARγ antagonist LY2955303 demonstrated good pharmacokinetic properties and was efficacious in the MIA model of osteoarthritis-like joint pain. This compound demonstrated an improved margin to RARα-mediated adverse effects.


Bioorganic & Medicinal Chemistry | 2016

Corrigendum to “Structural features underlying raloxifene’s biophysical interaction with bone matrix” [Bioorg. Med. Chem. 24 (2016) 759–767]

Nicoletta Bivi; Haitao Hu; Balagopalakrishna Chavali; Michael J. Chalmers; Christopher T. Reutter; Gregory L. Durst; Anna Riley; Masahiko Sato; Matthew R. Allen; David B. Burr; Jeffrey Alan Dodge

http://dx.doi.org/10.1016/j.bmc.2016.07.014 0968-0896/ 2016 Elsevier Ltd. All rights reserved. q DOI of original article: http://dx.doi.org/10.1016/j.bmc.2015.12.045 ⇑ Corresponding author. E-mail address: [email protected] (N. Bivi). Nicoletta Bivi a,⇑, Haitao Hu , Balagopalakrishna Chavali , Michael J. Chalmers , Christopher T. Reutter , Gregory L. Durst , Anna Riley , Masahiko Sato , Matthew R. Allen , David B. Burr , Jeffrey A. Dodge a a Lilly Research Laboratories, Indianapolis, IN, United States b Indiana University Purdue University Indianapolis, Indianapolis, IN, United States


Pest Management Science | 2001

Natural products as insecticides: the biology, biochemistry and quantitative structure–activity relationships of spinosyns and spinosoids†

Thomas C. Sparks; Gary D. Crouse; Gregory L. Durst


Journal of Medicinal Chemistry | 2004

Acyl Sulfonamide Anti-Proliferatives: Benzene Substituent Structure−Activity Relationships for a Novel Class of Antitumor Agents

Karen Lynn Lobb; Philip Arthur Hipskind; James A. Aikins; Enrique Alvarez; § Yiu-Yin Cheung; Eileen L. Considine; Alfonso De Dios; Gregory L. Durst; Rafael Ferritto; Cora Sue Grossman; Deborah D. Giera; Beth A. Hollister; Zhongping Huang; Philip W. Iversen; Kevin L. Law; Tiechao Li; Ho-Shen Lin; Beatriz López; Jose Eduardo Lopez; Luisa M. Martín Cabrejas; Denis J. McCann; Victoriano Molero; John Reilly; Michael Enrico Richett; Chuan Shih; Beverly A. Teicher; James H. Wikel; and Wesley T. White; Mary M. Mader


Bioorganic & Medicinal Chemistry Letters | 2007

Benzopyrans as selective estrogen receptor β agonists (SERBAs). Part 3: Synthesis of cyclopentanone and cyclohexanone intermediates for C-ring modification

Timothy I. Richardson; Jeffrey Alan Dodge; Gregory L. Durst; Lance Allen Pfeifer; Jikesh Shah; Yong Wang; Jim D. Durbin; Venkatesh Krishnan; Bryan H. Norman


Bioorganic & Medicinal Chemistry Letters | 2007

Benzopyrans as selective estrogen receptor β agonists (SERBAs). Part 4: Functionalization of the benzopyran A-ring

Bryan H. Norman; Timothy I. Richardson; Jeffrey Alan Dodge; Lance Allen Pfeifer; Gregory L. Durst; Yong Wang; Jim D. Durbin; Venkatesh Krishnan; Sean R. Dinn; Shengquan Liu; John Reilly; Kendal T. Ryter

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Yong Wang

Eli Lilly and Company

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