In silico environmental chemical science: properties and processes from statistical and computational modelling

Paul Tratnyek, Eric J. Bylaska, Eric J. Weber

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Quantitative structure-activity relationships (QSARs) have long been used in the environmental sciences. More recently, molecular modeling and chemoinformatic methods have become widespread. These methods have the potential to expand and accelerate advances in environmental chemistry because they complement observational and experimental data with "in silico" results and analysis. The opportunities and challenges that arise at the intersection between statistical and theoretical in silico methods are most apparent in the context of properties that determine the environmental fate and effects of chemical contaminants (degradation rate constants, partition coefficients, toxicities, etc.). The main example of this is the calibration of QSARs using descriptor variable data calculated from molecular modeling, which can make QSARs more useful for predicting property data that are unavailable, but also can make them more powerful tools for diagnosis of fate determining pathways and mechanisms. Emerging opportunities for "in silico environmental chemical science" are to move beyond the calculation of specific chemical properties using statistical models and toward more fully in silico models, prediction of transformation pathways and products, incorporation of environmental factors into model predictions, integration of databases and predictive models into more comprehensive and efficient tools for exposure assessment, and extending the applicability of all the above from chemicals to biologicals and materials.

Original languageEnglish (US)
Pages (from-to)188-202
Number of pages15
JournalEnvironmental science. Processes & impacts
Volume19
Issue number3
DOIs
StatePublished - Mar 22 2017

Fingerprint

Ecology
Computer Simulation
Quantitative Structure-Activity Relationship
Molecular modeling
modeling
Chemical properties
Toxicity
environmental fate
Rate constants
Statistical Models
prediction
partition coefficient
environmental effect
Calibration
Impurities
chemical property
Degradation
environmental factor
Databases
toxicity

ASJC Scopus subject areas

  • Environmental Chemistry
  • Public Health, Environmental and Occupational Health
  • Management, Monitoring, Policy and Law

Cite this

In silico environmental chemical science : properties and processes from statistical and computational modelling. / Tratnyek, Paul; Bylaska, Eric J.; Weber, Eric J.

In: Environmental science. Processes & impacts, Vol. 19, No. 3, 22.03.2017, p. 188-202.

Research output: Contribution to journalArticle

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