Docking as a way to analyze biomedical data
| Наименование публикации | Docking as a way to analyze biomedical data |
| Тип публикации | Статья |
| Библиографическое описание | Postnova, M.V. Docking as a way to analyze biomedical data. Progress in Biomedical Optics and Imaging / M.V. Postnova, G.A. Sroslova, A.V. Kovalenko, Y.A. Zimina // Proceedings of SPIE. - 2018. - V.11067. - P. 110670M. |
| Аннотация | The paper demonstrates the importance of neural networks, which are successfully used in various fields. Artificial neural networks demonstrate a large number of brain properties. They are trained on the basis of experience, generalize previous precedents to new cases and extract significant properties from incoming information which contains excessive data. Technically, training is to find coefficients of connections between neurons. In the process of learning, a neural network is able to detect complex dependencies between input and output data, and also perform generalization. As a result, the analysis showed that, on average, the neural network made 50% of forecasts. |
| Ключевые cлова | Databases, Docking Ligands, Neural networks,Targets |
| Год публикации | 2019 |
| Автор(ы) |
Постнова Маргарита Викторовна
Срослова Галина Алексеевна
Коваленко Александр Владимирович
Зимина Юлия Александровна
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| Электронная копия публикации | - |