Machine learning;
Integer programming;
Chemical graphs;
QSAR/QSPR;
Molecular design;
D O I:
10.2477/jccj.2021-0030
中图分类号:
O6 [化学];
学科分类号:
0703 ;
摘要:
We have developed a novel framework for inferring a chemical graph. Given an ANN that maps a feature vector x = f (G) of a chemical graph G to a predicted value eta(x) of a chemical property to G, we formulate an integer program that simulates the functions f and eta. Given a target value y*, we can infer a chemical graph G such that. (f (G)) = y* by solving the integer program.