Literature DB >> 16426077

Evaluating chemical structure similarity as an indicator of cellular growth inhibition.

Anders Wallqvist1, Ruili Huang, Narmada Thanki, David G Covell.   

Abstract

Chemical variations of small compounds are commonly used to probe biological systems and potentially discover lead-like compounds with selective target activity. Molecular probes are either generated by synthesis or acquired through directed searches of commercially available compound libraries. The data generated when testing the probes in various biological systems constitutes a structure/activity analysis. The ability to detect variations and classify biological responses requires the analysis of a compound in multiple assays. While the concept of a structure/activity relationship is straightforward, its implementation can vary considerably depending on the biological system under study and the probe library selected for testing. The analysis presented here will focus on the accumulated compound library used to screen for growth inhibition across the National Cancer Institute's panel of 60 tumor cells. The considerable chemical and biological diversity inherent in these data offers an opportunity to establish a quantifiable connection between chemical structure and biological activity. We find that the connection between structure and biological response is not symmetric, with biological response better at predicting chemical structure than vice versa. Structurally and functionally similar compounds can have distinguishable biological responses reflecting different mechanisms of action.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16426077     DOI: 10.1021/ci0501544

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  8 in total

1.  A novel benzodioxole-containing inhibitor of Toxoplasma gondii growth alters the parasite cell cycle.

Authors:  Edwin Kamau; Tracy Meehan; Mark D Lavine; Gustavo Arrizabalaga; Gabriela Mustata Wilson; Jon Boyle
Journal:  Antimicrob Agents Chemother       Date:  2011-09-26       Impact factor: 5.191

Review 2.  A cheminformatic toolkit for mining biomedical knowledge.

Authors:  Gus R Rosania; Gordon Crippen; Peter Woolf; David States; Kerby Shedden
Journal:  Pharm Res       Date:  2007-03-24       Impact factor: 4.200

3.  Comparison of structure fingerprint and molecular interaction field based methods in explaining biological similarity of small molecules in cell-based screens.

Authors:  Pekka Tiikkainen; Antti Poso; Olli Kallioniemi
Journal:  J Comput Aided Mol Des       Date:  2008-12-03       Impact factor: 3.686

4.  Identification and characterization of a novel small-molecule inhibitor of β-catenin signaling.

Authors:  Evan R Delgado; Jing Yang; Juhoon So; Stephanie Leimgruber; Michael Kahn; Tohru Ishitani; Donghun Shin; Gabriela Mustata Wilson; Satdarshan P Monga
Journal:  Am J Pathol       Date:  2014-05-10       Impact factor: 4.307

5.  Discovery of novel Myc-Max heterodimer disruptors with a three-dimensional pharmacophore model.

Authors:  Gabriela Mustata; Ariele Viacava Follis; Dalia I Hammoudeh; Steven J Metallo; Huabo Wang; Edward V Prochownik; John S Lazo; Ivet Bahar
Journal:  J Med Chem       Date:  2009-03-12       Impact factor: 7.446

6.  Development of novel NEMO-binding domain mimetics for inhibiting IKK/NF-κB activation.

Authors:  Jing Zhao; Lei Zhang; Xiaodong Mu; Christelle Doebelin; William Nguyen; Callen Wallace; Daniel P Reay; Sara J McGowan; Lana Corbo; Paula R Clemens; Gabriela Mustata Wilson; Simon C Watkins; Laura A Solt; Michael D Cameron; Johnny Huard; Laura J Niedernhofer; Theodore M Kamenecka; Paul D Robbins
Journal:  PLoS Biol       Date:  2018-06-11       Impact factor: 8.029

7.  Identifying new topoisomerase II poison scaffolds by combining publicly available toxicity data and 2D/3D-based virtual screening.

Authors:  Anna Lovrics; Veronika F S Pape; Dániel Szisz; Adrián Kalászi; Petra Heffeter; Csaba Magyar; Gergely Szakács
Journal:  J Cheminform       Date:  2019-11-09       Impact factor: 5.514

8.  In silico elucidation of the molecular mechanism defining the adverse effect of selective estrogen receptor modulators.

Authors:  Lei Xie; Jian Wang; Philip E Bourne
Journal:  PLoS Comput Biol       Date:  2007-09-26       Impact factor: 4.475

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.