Literature DB >> 22886396

Chemoinformatics and chemical genomics: potential utility of in silico methods.

Luis G Valerio1, Supratim Choudhuri.   

Abstract

Computational life sciences and informatics are inseparably intertwined and they lie at the heart of modern biology, predictive quantitative modeling and high-performance computing. Two of the applied biological disciplines that are poised to benefit from such progress are pharmacology and toxicology. This review will describe in silico chemoinformatics methods such as (quantitative) structure-activity relationship modeling and will overview how chemoinformatic technologies are considered in applied regulatory research. Given the post-genomics era and large-scale repositories of omics data that are available, this review will also address potential applications of in silico techniques in chemical genomics. Chemical genomics utilizes small molecules to explore the complex biological phenomena that may not be not amenable to straightforward genetic approach. The reader will gain the understanding that chemoinformatics stands at the interface of chemistry and biology with enabling systems for mapping, statistical modeling, pattern recognition, imaging and database tools. The great potential of these technologies to help address complex issues in the toxicological sciences is appreciated with the applied goal of the protection of public health. Published 2012. This article is a US Government work and is in the public domain in the USA.

Mesh:

Year:  2012        PMID: 22886396     DOI: 10.1002/jat.2804

Source DB:  PubMed          Journal:  J Appl Toxicol        ISSN: 0260-437X            Impact factor:   3.446


  6 in total

1.  Predicting the future: opportunities and challenges for the chemical industry to apply 21st-century toxicity testing.

Authors:  Raja S Settivari; Nicholas Ball; Lynea Murphy; Reza Rasoulpour; Darrell R Boverhof; Edward W Carney
Journal:  J Am Assoc Lab Anim Sci       Date:  2015-03       Impact factor: 1.232

Review 2.  Methods to enable the design of bioactive small molecules targeting RNA.

Authors:  Matthew D Disney; Ilyas Yildirim; Jessica L Childs-Disney
Journal:  Org Biomol Chem       Date:  2014-02-21       Impact factor: 3.876

Review 3.  Integrative approaches for predicting in vivo effects of chemicals from their structural descriptors and the results of short-term biological assays.

Authors:  Yen Sia Low; Alexander Yeugenyevich Sedykh; Ivan Rusyn; Alexander Tropsha
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

Review 4.  Rational design of chemical genetic probes of RNA function and lead therapeutics targeting repeating transcripts.

Authors:  Matthew D Disney
Journal:  Drug Discov Today       Date:  2013-08-09       Impact factor: 7.851

5.  Integrative chemical-biological read-across approach for chemical hazard classification.

Authors:  Yen Low; Alexander Sedykh; Denis Fourches; Alexander Golbraikh; Maurice Whelan; Ivan Rusyn; Alexander Tropsha
Journal:  Chem Res Toxicol       Date:  2013-08-05       Impact factor: 3.739

Review 6.  Exploring G Protein-Coupled Receptors (GPCRs) Ligand Space via Cheminformatics Approaches: Impact on Rational Drug Design.

Authors:  Shaherin Basith; Minghua Cui; Stephani J Y Macalino; Jongmi Park; Nina A B Clavio; Soosung Kang; Sun Choi
Journal:  Front Pharmacol       Date:  2018-03-09       Impact factor: 5.810

  6 in total

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