VIRTUAL SCREENING FOR ENVIRONMENTAL POLLUTANTS: STRUCTURE–ACTIVITY RELATIONSHIPS APPLIED TO A DATABASE OF INDUSTRIAL CHEMICALS

2006 ◽  
Vol 25 (4) ◽  
pp. 1178 ◽  
Author(s):  
Tomas Öberg
Keyword(s):  
Virtual Screening ◽  
Environmental Pollutants ◽  
Industrial Chemicals ◽  
Structure Activity Relationships ◽  
Structure Activity

scholarly journals Discovery and Structure–Activity Relationships of a Highly Selective Butyrylcholinesterase Inhibitor by Structure-Based Virtual Screening

2016 ◽  
Vol 59 (16) ◽  
pp. 7683-7689 ◽  
Author(s):  
Satish N. Dighe ◽  
Girdhar Singh Deora ◽  
Eugenio De la Mora ◽  
Florian Nachon ◽  
Stephen Chan ◽  
...  
Keyword(s):  
Virtual Screening ◽  
Structure Activity Relationships ◽  
Structure Activity ◽  
Butyrylcholinesterase Inhibitor

scholarly journals Study on Structure Activity Relationship of Natural Flavonoids against Thrombin by Molecular Docking Virtual Screening Combined with Activity Evaluation In Vitro

Molecules ◽  
2020 ◽  
Vol 25 (2) ◽  
pp. 422
Author(s):  
Xiaoyan Wang ◽  
Zhen Yang ◽  
Feifei Su ◽  
Jin Li ◽  
Evans Owusu Boadi ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Screening Method ◽  
Thrombin Inhibitors ◽  
Coagulation Cascade ◽  
Oh Groups ◽  
Structure Activity Relationships ◽  
Thrombin Inhibition ◽  
Structure Activity

Thrombin, a key enzyme of the serine protease superfamily, plays an integral role in the blood coagulation cascade and thrombotic diseases. In view of this, it is worthwhile to establish a method to screen thrombin inhibitors (such as natural flavonoid-type inhibitors) as well as investigate their structure activity relationships. Virtual screening using molecular docking technique was used to screen 103 flavonoids. Out of this number, 42 target compounds were selected, and their inhibitory effects on thrombin assayed by chromogenic substrate method. The results indicated that the carbon-carbon double bond group at the C2, C3 sites and the carbonyl group at the C4 sites of flavones were essential for thrombin inhibition, whereas the methoxy and O-glycosyl groups reduced thrombin inhibition. Noteworthy, introduction of OH groups at different positions on flavonoids either decreased or increased anti-thrombin potential. Myricetin exhibited the highest inhibitory potential against thrombin with an IC50 value of 56 μM. Purposively, the established molecular docking virtual screening method is not limited to exploring flavonoid structure activity relationships to anti-thrombin activity but also usefully discovering other natural active constituents.

scholarly journals Inventing Prediction for Regulation

2019 ◽  
Vol 32 (4) ◽  
pp. 137-157
Author(s):  
Henri Boullier ◽  
David Demortain ◽  
Maurice Zeeman
Keyword(s):  
Environmental Protection Agency ◽  
Organization Change ◽  
Industrial Chemicals ◽  
Structure Activity Relationships ◽  
New Methods ◽  
Structure Activity ◽  
The Us ◽  
Regulatory Decisions ◽  
Regulatory Organization ◽  
Regulatory Practice

In policies targeting environmental and health hazards, an effort is frequently made to anticipate and avert more or less probable adverse events. In this context, computerized models are frequently portrayed as superior knowledge tools, for their capacity to extrapolate from existing data and predict hazards. This paper looks at the historical development and use of such models in regulation, with the specific example of structure-activity relationships (SARs) in the regulation of new industrial chemicals at the US Environmental Protection Agency (EPA). It asks how evidential culture(s) in a regulatory organization change, in particular how new methods and forms of knowledge find their place alongside others to forge regulatory decisions. The development and application of, first, a qualitative approach to structure-activity relationships, and then of quantitative models, show that the EPA had the necessary autonomy to imagine and adjust a method emerging in the research environment to respond to regulatory needs. This can be understood from a coproductionist perspective, if adjusted to take into account the bureaucratic knowledge that mediates the imagining and application of prediction in regulatory practice.

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