Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta

Mario Garza-Fabre; Shaun M. Kandathil; Julia Handl; Joshua Knowles; Simon C. Lovell

doi:10.1145/2739482.2768441

Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta

Mario Garza-Fabre, Shaun M. Kandathil, Julia Handl, Joshua Knowles, Simon C. Lovell

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Original language	English
Title of host publication	Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015)
Publisher	Association for Computing Machinery
Pages	935-938
ISBN (Print)	978-1-4503-3488-4
DOIs	https://doi.org/10.1145/2739482.2768441
Publication status	Published - 11 Jul 2015
Event	Annual Conference on Genetic and Evolutionary Computation (GECCO 2015) - Madrid, Spain Duration: 11 Jul 2015 → 15 Jul 2015

Conference

Conference	Annual Conference on Genetic and Evolutionary Computation (GECCO 2015)
Country/Territory	Spain
City	Madrid
Period	11/07/15 → 15/07/15

Access to Document

10.1145/2739482.2768441

http://dl.acm.org/citation.cfm?doid=2739482.2768441

Cite this

Garza-Fabre, M., Kandathil, S. M., Handl, J., Knowles, J., & Lovell, S. C. (2015). Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. In Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015) (pp. 935-938). Association for Computing Machinery . https://doi.org/10.1145/2739482.2768441

@inproceedings{bccab4655afc4fed98249ee4c9747b4c,

title = "Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta",

author = "Mario Garza-Fabre and Kandathil, {Shaun M.} and Julia Handl and Joshua Knowles and Lovell, {Simon C.}",

year = "2015",

month = jul,

day = "11",

doi = "10.1145/2739482.2768441",

language = "English",

isbn = "978-1-4503-3488-4",

pages = "935--938",

booktitle = "Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015)",

publisher = "Association for Computing Machinery ",

note = "Annual Conference on Genetic and Evolutionary Computation (GECCO 2015) ; Conference date: 11-07-2015 Through 15-07-2015",

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Garza-Fabre, M, Kandathil, SM, Handl, J, Knowles, J & Lovell, SC 2015, Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. in Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015). Association for Computing Machinery , pp. 935-938, Annual Conference on Genetic and Evolutionary Computation (GECCO 2015), Madrid, Spain, 11/07/15. https://doi.org/10.1145/2739482.2768441

Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. / Garza-Fabre, Mario; Kandathil, Shaun M.; Handl, Julia et al.
Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015). Association for Computing Machinery , 2015. p. 935-938.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta

AU - Garza-Fabre, Mario

AU - Kandathil, Shaun M.

AU - Handl, Julia

AU - Knowles, Joshua

AU - Lovell, Simon C.

PY - 2015/7/11

Y1 - 2015/7/11

U2 - 10.1145/2739482.2768441

DO - 10.1145/2739482.2768441

M3 - Conference contribution

SN - 978-1-4503-3488-4

SP - 935

EP - 938

BT - Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015)

PB - Association for Computing Machinery

T2 - Annual Conference on Genetic and Evolutionary Computation (GECCO 2015)

Y2 - 11 July 2015 through 15 July 2015

ER -

Garza-Fabre M, Kandathil SM, Handl J, Knowles J, Lovell SC. Using Machine Learning to Explore the Relevance of Local and Global Features During Conformational Search in Rosetta. In Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation (GECCO 2015). Association for Computing Machinery . 2015. p. 935-938 doi: 10.1145/2739482.2768441