ArticleMolecular systems biology2007
The environmental fate of organic pollutants through the global microbial metabolism.
Article in Molecular systems biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Concomitant prediction of environmental fate and toxicity of chemical compounds.Biology methods & protocols · 2020Article
- Article
- enviPath--The environmental contaminant biotransformation pathway resource.Nucleic acids research · 2016Article
- Article
- Open Babel: An open chemical toolbox.Journal of cheminformatics · 2011Article
- Quantitative global studies of reactomes and metabolomes using a vectorial representation of reactions and chemical compounds.BMC systems biology · 2010Article
- In silico feasibility of novel biodegradation pathways for 1,2,4-trichlorobenzene.BMC systems biology · 2010Article
- Computational framework for predictive biodegradation.Biotechnology and bioengineering · 2009Article
- Thermodynamic analysis of biodegradation pathways.Biotechnology and bioengineering · 2009Article
- Bionemo: molecular information on biodegradation metabolism.Nucleic acids research · 2009Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The production of new chemicals for industrial or therapeutic applications exceeds our ability to generate experimental data on their biological fate once they are released into the environment. Typically, mixtures of organic pollutants are freed into a variety of sites inhabited by diverse microorganisms, which structure complex multispecies metabolic networks. A machine learning approach has been instrumental to expose a correlation between the frequency of 149 atomic triads (chemotopes) common in organo-chemical compounds and the global capacity of microorganisms to metabolise them. Depending on the type of environmental fate defined, the system can correctly predict the biodegradative outcome for 73-87% of compounds. This system is available to the community as a web server (http://www.pdg.cnb.uam.es/BDPSERVER). The application of this predictive tool to chemical species released into the environment provides an early instrument for tentatively classifying the compounds as biodegradable or recalcitrant. Automated surveys of lists of industrial chemicals currently employed in large quantities revealed that herbicides are the group of functional molecules more difficult to recycle into the biosphere through the inclusive microbial metabolism.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.