Mixed-Integer Linear Programming Algorithm for a Computational Protein Design Problem

By Yushan Zhu. 2007

29 citations recorded by the source corpus.

Subfields: Genetics, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

1. Haroldo Gambini Santos
2. Greet Vanden Berghe
3. Matheus Guedes Vilas Boas
4. L. Merschmann

In Molecular Biology

1. Haroldo Gambini Santos
2. Greet Vanden Berghe
3. Matheus Guedes Vilas Boas
4. L. Merschmann

Citations in the corpus

• Optimal Decision Trees for the Algorithm Selection Problem: Integer Programming Based Approaches (2019, methodology): “Mixed-Integer Programing is the most successful technique to optimally solve NP-Hard problems and has been applied to a large number of problems, from production planning (Pochet and Wolsey, 2006) to prediction of protein structures (Zhu, 2007).”