Name
Title | ||
|---|---|---|
Molecular Design Based on Artificial Neural Networks, Integer Programming and Grid Neighbor Search |
Abstract | ||
|---|---|---|
A novel framework has recently been proposed for designing the molecular structure of chemical compounds with a desired chemical property using both artificial neural networks and mixed integer linear programming. In the framework, a chemical graph with a target chemical value is inferred as a feasible solution of a mixed integer linear program that represents a prediction function and other requi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/BIBM52615.2021.9669710 | 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) |
Keywords | DocType | ISBN |
Integer programming,Conferences,Artificial neural networks,Mixed integer linear programming,Chemical compounds,Bioinformatics,Chemicals | Conference | 978-1-6654-0126-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naveed Ahmed Azam | 1 | 0 | 0.34 |
| Jianshen Zhu | 2 | 0 | 1.01 |
| Kazuya Haraguchi | 3 | 0 | 0.34 |
| Liang Zhao | 4 | 0 | 0.34 |
| Hiroshi Nagamochi | 5 | 0 | 0.34 |
| Tatsuya Akutsu | 6 | 3 | 2.07 |