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In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning

19 Feb

Recently we published on the curation of physicochemical data sets that were then made available as Open Data. The work was reported in:

“An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modeling, SAR and QSAR in Environmental Research, K. Mansouri, C.Grulke, R. Judson and A.J. Williams, SAR and QSAR in Environmental Research,Volume 27 2016 – Issue 11, Pages 911-937 http://dx.doi.org/10.1080/1062936X.2016.1253611

The data has since been modeled using an alternative approach to that we used and is now reported in http://dx.doi.org/10.1021/acs.jcim.6b00625.

 

“In Silico Prediction of Physicochemical Properties of Environmental Chemicals Using Molecular Fingerprints and Machine Learning, Q. Zang, K. Mansouri, A.J. Williams, R.S. Judson, D.G. Allen, W.M. Casey, and N.C. Kleinstreuer, J. Chem. Inf. Model., 2017, 57 (1), pp 36–49″

The abstract for the article is below

ABSTRACT

There are little available toxicity data on the vast majority of chemicals in commerce. High-throughput screening (HTS) studies, such as those being carried out by the U.S. Environmental Protection Agency (EPA) ToxCast program in partnership with the federal Tox21 research program, can generate biological data to inform models for predicting potential toxicity. However, physicochemical properties are also needed to model environmental fate and transport, as well as exposure potential. The purpose of the present study was to generate an open-source quantitative structure–property relationship (QSPR) workflow to predict a variety of physicochemical properties that would have cross-platform compatibility to integrate into existing cheminformatics workflows. In this effort, decades-old experimental property data sets available within the EPA EPI Suite were reanalyzed using modern cheminformatics workflows to develop updated QSPR models capable of supplying computationally efficient, open, and transparent HTS property predictions in support of environmental modeling efforts. Models were built using updated EPI Suite data sets for the prediction of six physicochemical properties: octanol–water partition coefficient (logP), water solubility (logS), boiling point (BP), melting point (MP), vapor pressure (logVP), and bioconcentration factor (logBCF). The coefficient of determination (R2) between the estimated values and experimental data for the six predicted properties ranged from 0.826 (MP) to 0.965 (BP), with model performance for five of the six properties exceeding those from the original EPI Suite models. The newly derived models can be employed for rapid estimation of physicochemical properties within an open-source HTS workflow to inform fate and toxicity prediction models of environmental chemicals.

 

About tony

Founder of ChemZoo Inc., the host of ChemSpider (www.chemspider.com). ChemSpider is an open access online database of chemical structures and property transaction based services to enable chemists around the world to data mine chemistry databases. The Royal Society of Chemistry acquired ChemSpider in May 2009. Presently working as a consortium member of the OpenPHACTS IMI project (http://www.openphacts.org/). This focuses on how drug discovery can utilize semantic technologies to improve decision making and brings together 22 European team members to develop an infrastructure to link together public and private data for the drug discovery community. I am also involved with the PharmaSea FP7 project (http://www.pharma-sea.eu/) trying to identify new classes of marine natural products with potential pharmacological activity. I am also one of the hosts for three wikis for Science: ScientistsDB, SciMobileApps and SciDBs. Over the past decade I held many responsibilities including the direction of the development of scientific software applications for spectroscopy and general chemistry, directing marketing efforts, sales and business development collaborations for the company. Eight years experience of analytical laboratory leadership and management. Experienced in experimental techniques, implementation of new NMR technologies, walk-up facility management, research and development, manufacturing support and teaching. Ability to provide situation analysis, creative solutions and establish good working relationships. Prolific author with over a 150 peer-reviewed scientific publications, 3 patents and over 300 public presentations. Specialties Leadership in the domain of free access Chemistry, Product and project management, Organizational and Leadership development, Competitive analysis and Business Development, Entrepreneurial.
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Posted by on February 19, 2017 in Publications and Presentations

 

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