Literature DB >> 26871940

Definitive Metabolite Identification Coupled with Automated Ligand Identification System (ALIS) Technology: A Novel Approach to Uncover Structure-Activity Relationships and Guide Drug Design in a Factor IXa Inhibitor Program.

Ting Zhang1,2,3, Yong Liu1,2,3, Xianshu Yang1,2,3, Gary E Martin1,2,3, Huifang Yao1,2,3, Jackie Shang1,2,3, Randal M Bugianesi1,2,3, Kenneth P Ellsworth1,2,3, Lisa M Sonatore1,2,3, Peter Nizner1,2,3, Edward C Sherer1,2,3, Susan E Hill1,2,3, Ian W Knemeyer1,2,3, Wayne M Geissler1,2,3, Peter J Dandliker1,2,3, Roy Helmy1,2,3, Harold B Wood1,2,3.   

Abstract

A potent and selective Factor IXa (FIXa) inhibitor was subjected to a series of liver microsomal incubations, which generated a number of metabolites. Using automated ligand identification system-affinity selection (ALIS-AS) methodology, metabolites in the incubation mixture were prioritized by their binding affinities to the FIXa protein. Microgram quantities of the metabolites of interest were then isolated through microisolation analytical capabilities, and structurally characterized using MicroCryoProbe heteronuclear 2D NMR techniques. The isolated metabolites recovered from the NMR experiments were then submitted directly to an in vitro FIXa enzymatic assay. The order of the metabolites' binding affinity to the Factor IXa protein from the ALIS assay was completely consistent with the enzymatic assay results. This work showcases an innovative and efficient approach to uncover structure-activity relationships (SARs) and guide drug design via microisolation-structural characterization and ALIS capabilities.

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Year:  2016        PMID: 26871940     DOI: 10.1021/acs.jmedchem.5b01293

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  4 in total

1.  Accelerated Identification of Cell Active KRAS Inhibitory Macrocyclic Peptides using Mixture Libraries and Automated Ligand Identification System (ALIS) Technology.

Authors:  Michael Garrigou; Bérengère Sauvagnat; Ruchia Duggal; Nicole Boo; Pooja Gopal; Jennifer M Johnston; Anthony Partridge; Tomi Sawyer; Kaustav Biswas; Nicolas Boyer
Journal:  J Med Chem       Date:  2022-06-15       Impact factor: 8.039

Review 2.  G protein-coupled receptors: structure- and function-based drug discovery.

Authors:  Dehua Yang; Qingtong Zhou; Viktorija Labroska; Shanshan Qin; Sanaz Darbalaei; Yiran Wu; Elita Yuliantie; Linshan Xie; Houchao Tao; Jianjun Cheng; Qing Liu; Suwen Zhao; Wenqing Shui; Yi Jiang; Ming-Wei Wang
Journal:  Signal Transduct Target Ther       Date:  2021-01-08

3.  Importance of protein flexibility in ranking ERK2 Type I1/2 inhibitor affinities: a computational study.

Authors:  Yuzhen Niu; Xiaojun Yao; Hongfang Ji
Journal:  RSC Adv       Date:  2019-04-23       Impact factor: 4.036

4.  Late-Stage Microsomal Oxidation Reduces Drug-Drug Interaction and Identifies Phosphodiesterase 2A Inhibitor PF-06815189.

Authors:  Antonia F Stepan; Tuan P Tran; Christopher J Helal; Maria S Brown; Cheng Chang; Rebecca E O'Connor; Michael De Vivo; Shawn D Doran; Ethan L Fisher; Stephen Jenkinson; David Karanian; Bethany L Kormos; Raman Sharma; Gregory S Walker; Ann S Wright; Edward X Yang; Michael A Brodney; Travis T Wager; Patrick R Verhoest; R Scott Obach
Journal:  ACS Med Chem Lett       Date:  2018-01-04       Impact factor: 4.345

  4 in total

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