In Silico methods

In silico is an expression that means "performed using a computer simulation" and was coined in 1989 during the workshop "Cellular Automata: Theory and Applications" in Los Alamos, New Mexico by a mathematician from National Autonomous University of Mexico (UNAM).

In silico models for predicting toxicological, biological and physico-chemical properties are models able to find relations between particular characteristics of molecules and the property of interest. Example of in silico methods are: (Q)SAR, Read-Across and Virtual Screening.

Quantitative Structure-Activity Relationship (QSAR) are computer-based models for the prediction of toxicological, biological and physico-chemical properties. QSAR models aim at establishing, if it exists, the relationship between structural-derived properties of chemicals and their properties, such as toxicity. For the relationship between the activity and the chemical information a mathematical function is used. The chemical information can be given by chemical descriptors or fragments. Many thousands of chemical descriptors have been proposed, constitutional, geometrical, physico-chemical, topological, etc.
In the specific case of the evaluation of a qualitative relationship, for instance between the presence of a certain chemical fragment and the occurrence of a certain toxicity effect, the typical name is structure-activity relationship (SAR). (Q)SAR is used sometimes to refer to both QSAR and SAR. Here we will present QSAR and SAR together, using the acronym QSAR.

Read-across is a very simplified version of QSAR model. Basically, the property of one or few chemicals is predicted on the basis of one or more similar compounds, using or not some chemical descriptors.

Virtual screening are docking simulation based methods used to evaluate the binding between a chemical compound and a biological macromolecule, such as a protein.

 

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