Optimizing Molecular Cloning of Multiple Plasmids
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 773-778.
Abstract
In biology, the construction of plasmids is a routine technique, yet under-optimal, expensive and time-consuming. In this paper, we model the Plasmid Cloning Problem in constraint programing, in order to optimize the construction of plasmids. Our technique uses a new propagator for the AtMostNVector constraint. This constraint allows the design of strategies for constructing multiple plasmids at the same time. Our approach recommends the smallest number of different cloning steps, while selecting the most efficient steps. It provides optimal strategies for real instances in gene therapy for retinal blinding diseases.
@inproceedings{ijcai2016p115,
title = {Optimizing Molecular Cloning of Multiple Plasmids},
author = {Petit, Thierry and Petit, Lolita},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {773--778},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/115},
}
TY - CPAPER TI - Optimizing Molecular Cloning of Multiple Plasmids AU - Petit, Thierry AU - Petit, Lolita T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 773 EP - 778 UR - https://ijcai.org/proceedings/2016/115 ER -Copied
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