Cost Function Networks to Solve Large Computational Protein Design Problems-Reference-Cited by-同舟云学术

Cost Function Networks to Solve Large Computational Protein Design Problems

Published:2020-07-25 Issue: Volume: Page:81-102
ISSN:
Container-title:Operations Research and Simulation in Healthcare
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Author:

Allouche David,Barbe Sophie,Givry Simon de,Katsirelos George,Lebbah Yahia,Loudni Samir,Ouali Abdelkader,Schiex Thomas,Simoncini David,Zytnicki Matthias

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-45223-0_4

Reference75 articles.

1. Allouche, D., André, I., Barbe, S., Davies, J., de Givry, S., Katsirelos, G., O’Sullivan, B., Prestwich, S., Schiex, T., Traoré, S.: Computational protein design as an optimization problem. Artificial Intelligence 212, 59–79 (2014)

2. Allouche, D., de Givry, S., Katsirelos, G., Schiex, T., Zytnicki, M.: Anytime Hybrid Best-First Search with Tree Decomposition for Weighted CSP. In: Proc. of CP-15, pp. 12–28. Cork, Ireland (2015)

3. Allouche, D., Traoré, S., André, I., de Givry, S., Katsirelos, G., Barbe, S., Schiex, T.: Computational protein design as a cost function network optimization problem. In: Principles and Practice of Constraint Programming, pp. 840–849. Springer (2012)

4. Anfinsen, C.: Principles that govern the folding of protein chains. Science 181(4096), 223–253 (1973)

5. Boas, F.E., Harbury, P.B.: Potential energy functions for protein design. Current opinion in structural biology 17(2), 199–204 (2007)

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