Review on: quantitative structure activity relationship (QSAR) modeling
| Autor: | Umma Muhammad, David Ebuka Arthur, Adamu Uzairu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Quantitative structure–activity relationship
Computational model 010304 chemical physics Pharmaceutical technology Concept History Computer science Biological property 010401 analytical chemistry 0103 physical sciences Posttranslational modification Biochemical engineering 01 natural sciences 0104 chemical sciences |
| Zdroj: | Journal of Analytical & Pharmaceutical Research. 7 |
| ISSN: | 2473-0831 |
| DOI: | 10.15406/japlr.2018.07.00232 |
| Popis: | Quantitative Structure Activity Relationship QSAR are mathematical models that seek to predict complicated physicochemical biological properties of chemicals from their simpler experimental or calculated properties QSAR enables the investigator to establishes a reliable quantitative relationship between structure and activity which will be used to derive an insilico model to predict the activity of novel molecules prior to their synthesis The past few decades have witnessed much advances in the development of computational models for the prediction of a wide span of biological and chemical activities that are beneficial for screening promising compounds with robust properties This review covers the concept history of QSAR and also the components involved in the development of QSAR models |
| Databáze: | OpenAIRE |
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