Name
Abstract | ||
|---|---|---|
In drug discovery, Deep Learning algorithms are emerging as a potential method to generate novel chemical structures since they can speed up the traditional process and decrease expenditure. Recurrent architectures are amongst the most promising methods for computational de novo drug design. One current challenge consists in finding the optimal architecture and parameters for the recurrent network... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/CBMS52027.2021.00067 | 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS) |
Keywords | DocType | ISBN |
Drugs,Recurrent neural networks,Biological system modeling,Computer architecture,Syntactics,Encoding,Libraries | Conference | 978-1-6654-4121-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Beatriz P. Santos | 1 | 0 | 0.34 |
| Maryam Abbasi | 2 | 0 | 0.34 |
| Tiago L. Pereira | 3 | 6 | 2.51 |
| Bernardete Ribeiro | 4 | 0 | 0.34 |
| Joel P. Arrais | 5 | 0 | 1.35 |