A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process

Angelica Sandoval-Perez, David Becerra, Diana Vanegas, Daniel Restrepo-Montoya, Fernando Niño. A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process. In Krzysztof Krawiec, Alberto Moraglio, Ting Hu, A. Sima Etaner-Uyar, Bin Hu, editors, Genetic Programming - 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings. Volume 7831 of Lecture Notes in Computer Science, pages 181-192, Springer, 2013. [doi]

@inproceedings{Sandoval-PerezBVRN13,
  title = {A Multi-objective Optimization Energy Approach to Predict the Ligand Conformation in a Docking Process},
  author = {Angelica Sandoval-Perez and David Becerra and Diana Vanegas and Daniel Restrepo-Montoya and Fernando Niño},
  year = {2013},
  doi = {10.1007/978-3-642-37207-0_16},
  url = {http://dx.doi.org/10.1007/978-3-642-37207-0_16},
  researchr = {https://researchr.org/publication/Sandoval-PerezBVRN13},
  cites = {0},
  citedby = {0},
  pages = {181-192},
  booktitle = {Genetic Programming - 16th European Conference, EuroGP 2013, Vienna, Austria, April 3-5, 2013. Proceedings},
  editor = {Krzysztof Krawiec and Alberto Moraglio and Ting Hu and A. Sima Etaner-Uyar and Bin Hu},
  volume = {7831},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-37206-3},
}