Literature DB >> 24171690

Metabolism-directed structure optimization of benzimidazole-based Francisella tularensis enoyl-reductase (FabI) inhibitors.

Yan-Yan Zhang1, Yong Liu, Shahila Mehboob, Jin-Hua Song, Teuta Boci, Michael E Johnson, Arun K Ghosh, Hyunyoung Jeong.   

Abstract

1. FabI is a potential antibiotic target against Francisella tularensis, which has been classified as a Category A biowarfare agent of high risk to public health. Our previous work demonstrated that N-benzyl benzimidazole compounds possess promising FabI inhibitory activity, but their druggability properties, including metabolic stability, are unknown. 2. The objective of this study was to characterize structure-metabolism relationships of a series of N-benzyl benzimidazole compounds to guide chemical optimization for better metabolic stability. To this end, metabolic stability data were obtained for 22 initial lead compounds using mouse hepatic microsomes. 3. Metabolic hotspots on the benzimidazole core structure as well as the benzyl ring were identified and verified by metabolite identification studies of four model compounds. Interestingly, the proposed structure-metabolism relationships did not apply to nine newly synthesized cyclopentane or oxacyclopentane derivatives of N-benzyl benzimidazole. 4. Subsequently, in silico quantitative structure-property relationship models were developed. Four molecular descriptors representing molecular polarity/polarisability, symmetry and size were identified to best explain variability in metabolic stability of different compounds. Multi-linear and non-linear regression models based on the selected molecular descriptors were developed and validated. 5. The structure-metabolism relationships for N-benzyl benzimidazole compounds should help optimization of N-benzyl benzimidazole compounds for better pharmacokinetic behavior.

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Year:  2013        PMID: 24171690      PMCID: PMC4355941          DOI: 10.3109/00498254.2013.850553

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  31 in total

1.  Structural and enzymatic analyses reveal the binding mode of a novel series of Francisella tularensis enoyl reductase (FabI) inhibitors.

Authors:  Shahila Mehboob; Kirk E Hevener; Kent Truong; Teuta Boci; Bernard D Santarsiero; Michael E Johnson
Journal:  J Med Chem       Date:  2012-06-08       Impact factor: 7.446

2.  High throughput microsomal stability assay for insoluble compounds.

Authors:  Li Di; Edward H Kerns; Susan Q Li; Susan L Petusky
Journal:  Int J Pharm       Date:  2006-03-17       Impact factor: 5.875

3.  Predicting human liver microsomal stability with machine learning techniques.

Authors:  Yojiro Sakiyama; Hitomi Yuki; Takashi Moriya; Kazunari Hattori; Misaki Suzuki; Kaoru Shimada; Teruki Honma
Journal:  J Mol Graph Model       Date:  2007-06-27       Impact factor: 2.518

Review 4.  Prediction of hepatic clearance in human from in vitro data for successful drug development.

Authors:  Masato Chiba; Yasuyuki Ishii; Yuichi Sugiyama
Journal:  AAPS J       Date:  2009-04-30       Impact factor: 4.009

5.  Development of QSAR models for microsomal stability: identification of good and bad structural features for rat, human and mouse microsomal stability.

Authors:  Yongbo Hu; Ray Unwalla; R Aldrin Denny; Jack Bikker; Li Di; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2009-11-24       Impact factor: 3.686

6.  PaDEL-descriptor: an open source software to calculate molecular descriptors and fingerprints.

Authors:  Chun Wei Yap
Journal:  J Comput Chem       Date:  2010-12-17       Impact factor: 3.376

Review 7.  Improving drug candidates by design: a focus on physicochemical properties as a means of improving compound disposition and safety.

Authors:  Nicholas A Meanwell
Journal:  Chem Res Toxicol       Date:  2011-07-26       Impact factor: 3.739

8.  Mechanistic insights from comparing intrinsic clearance values between human liver microsomes and hepatocytes to guide drug design.

Authors:  Li Di; Christopher Keefer; Dennis O Scott; Timothy J Strelevitz; George Chang; Yi-An Bi; Yurong Lai; Jonathon Duckworth; Katherine Fenner; Matthew D Troutman; R Scott Obach
Journal:  Eur J Med Chem       Date:  2012-07-16       Impact factor: 6.514

9.  Functional expression of Francisella tularensis FabH and FabI, potential antibacterial targets.

Authors:  Lisa Wen; Jennifer N Chmielowski; Kelsey C Bohn; Jenq-Kuen Huang; Yam N Timsina; Phanichand Kodali; Ashish K Pathak
Journal:  Protein Expr Purif       Date:  2008-12-06       Impact factor: 1.650

Review 10.  Bacillus anthracis, Francisella tularensis and Yersinia pestis. The most important bacterial warfare agents - review.

Authors:  M Pohanka; P Skládal
Journal:  Folia Microbiol (Praha)       Date:  2009-10-14       Impact factor: 2.629

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  3 in total

1.  Determination of absolute configuration and binding efficacy of benzimidazole-based FabI inhibitors through the support of electronic circular dichroism and MM-GBSA techniques.

Authors:  Jinhong Ren; Tina L Mistry; Pin-Chih Su; Shahila Mehboob; Robel Demissie; Leslie Wo-Mei Fung; Arun K Ghosh; Michael E Johnson
Journal:  Bioorg Med Chem Lett       Date:  2018-04-22       Impact factor: 2.823

Review 2.  Structural approaches to pathway-specific antimicrobial agents.

Authors:  Michael E Johnson; Leslie W-M Fung
Journal:  Transl Res       Date:  2020-02-06       Impact factor: 7.012

3.  Evaluating thermodynamic integration performance of the new amber molecular dynamics package and assess potential halogen bonds of enoyl-ACP reductase (FabI) benzimidazole inhibitors.

Authors:  Pin-Chih Su; Michael E Johnson
Journal:  J Comput Chem       Date:  2015-12-15       Impact factor: 3.376

  3 in total

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