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A new framework for computational protein design through cost function network optimization.

, , , , , , and . Bioinform., 29 (17): 2129-2136 (2013)

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Computational protein design as an optimization problem., , , , , , , , , and . Artif. Intell., (2014)A new framework for computational protein design through cost function network optimization., , , , , , and . Bioinform., 29 (17): 2129-2136 (2013)Tractability-preserving transformations of global cost functions., , , , , , , , , and 1 other author(s). Artif. Intell., (2016)Bi-objective Discrete Graphical Model Optimization., , , and . CPAIOR (1), volume 14742 of Lecture Notes in Computer Science, page 136-152. Springer, (2024)Parallel Hybrid Best-First Search., , , , and . CP, volume 235 of LIPIcs, page 7:1-7:10. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Tractability and Decompositions of Global Cost Functions., , , , , , , , , and 1 other author(s). CoRR, (2015)Variable Neighborhood Search with Cost Function Networks To Solve Large Computational Protein Design Problems., , , , , , and . J. Chem. Inf. Model., 59 (1): 127-136 (2019)Virtual Pairwise Consistency in Cost Function Networks., , , , and . CPAIOR, volume 13884 of Lecture Notes in Computer Science, page 417-426. Springer, (2023)Filtering Decomposable Global Cost Functions., , , , , , , and . AAAI, page 407-413. AAAI Press, (2012)Variable neighborhood search for graphical model energy minimization., , , , , , and . Artif. Intell., (2020)