A Novel Method for the Inverse QSAR/QSPR based on Artificial Neural Networks and Mixed Integer Linear Programming with Guaranteed Admissibility
Author:
Affiliation:
1. Department of Applied Mathematics and Physics, Kyoto University, Kyoto, Japan, --- Select a Country ---
2. Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji-city, Japan, --- Select a Country ---
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SCITEPRESS - Science and Technology Publications
Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. An Inverse QSAR Method Based on Linear Regression and Integer Programming;Frontiers in Bioscience-Landmark;2022-06-10
2. A new approach to the design of acyclic chemical compounds using skeleton trees and integer linear programming;Applied Intelligence;2022-03-25
3. On the enumeration of minimal non-pairwise compatibility graphs;Journal of Combinatorial Optimization;2021-09-01
4. A novel method for inference of acyclic chemical compounds with bounded branch-height based on artificial neural networks and integer programming;Algorithms for Molecular Biology;2021-08-14
5. Enhanced electrochemiluminescence at single lithium iron phosphate nanoparticles for the local sensing of hydrogen peroxide efflux from single living cell under a low voltage;Sensors and Actuators B: Chemical;2021-02
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