Biochar from Biomass: A Strategy for Carbon Dioxide Sequestration, Soil Amendment, Power Generation, CO2 Utilization, and Removal of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) in the Environment

2021 ◽  
pp. 1-64
Author(s):  
Vanisree Mulabagal ◽  
David A. Baah ◽  
Nosa O. Egiebor ◽  
Baharak Sajjadi ◽  
Wei-Yin Chen ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Soil Amendment ◽  
Carbon Dioxide Sequestration ◽  
Co2 Utilization ◽  
Polyfluoroalkyl Substances ◽  
Perfluoroalkyl And Polyfluoroalkyl Substances

Structure-Based Virtual Screening of Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) as Endocrine Disruptors of Androgen Receptor Activity Using Molecular Docking and Machine Learning

2020 ◽  
Author(s):  
Azhagiya Singam Ettayapuram Ramaprasad ◽  
Phum Tachachartvanich ◽  
Denis Fourches ◽  
Anatoly Soshilov ◽  
Jennifer C.Y. Hsieh ◽  
...  
Keyword(s):  
Machine Learning ◽  
Molecular Docking ◽  
Androgen Receptor ◽  
Endocrine Disruptors ◽  
Hormone Receptors ◽  
Steroid Hormone Receptors ◽  
Machine Learning Techniques ◽  
Support Vector ◽  
Polyfluoroalkyl Substances ◽  
Perfluoroalkyl And Polyfluoroalkyl Substances

Perfluoroalkyl and Polyfluoroalkyl Substances (PFASs) pose a substantial threat as endocrine disruptors, and thus early identification of those that may interact with steroid hormone receptors, such as the androgen receptor (AR), is critical. In this study we screened 5,206 PFASs from the CompTox database against the different binding sites on the AR using both molecular docking and machine learning techniques. We developed support vector machine models trained on Tox21 data to classify the active and inactive PFASs for AR using different chemical fingerprints as features. The maximum accuracy was 95.01% and Matthew’s correlation coefficient (MCC) was 0.76 respectively, based on MACCS fingerprints (MACCSFP). The combination of docking-based screening and machine learning models identified 29 PFASs that have strong potential for activity against the AR and should be considered priority chemicals for biological toxicity testing.

Geological Carbon Dioxide Sequestration

Elements ◽  
2007 ◽  
Vol 3 (3) ◽  
pp. 179-184 ◽  
Author(s):  
S. J. Friedmann
Keyword(s):  
Carbon Dioxide ◽  
Carbon Dioxide Sequestration

Monte Carlo Molecular Simulation Study of Carbon Dioxide Sequestration into Dry and Wet Calcite Pores Containing Methane

2021 ◽  
Author(s):  
Srikanth Ravipati ◽  
Mirella Simoes Santos ◽  
Ioannis G. Economou ◽  
Amparo Galindo ◽  
George Jackson ◽  
...  
Keyword(s):  
Carbon Dioxide ◽  
Monte Carlo ◽  
Molecular Simulation ◽  
Simulation Study ◽  
Carbon Dioxide Sequestration
Sign in / Sign up

Export Citation Format

Share Document