An efficient algorithm for multistate protein design based on FASTER
By Benjamin D. Allen, Stephen L. Mayo. 2009
55 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, 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 Computational Theory and Mathematics
- Jens Meiler
- Brian Kuhlman
- Xingjie Pan
- Andrew Leaver-Fay
- Pablo Gainza
- Tim M. Jacobs
- P. Benjamin Stranges
- James E. Crowe Jr.
In Molecular Biology
- Tanja Kortemme
- Jens Meiler
- Xingjie Pan
- Andrew Leaver-Fay
- David Baker
- Brian Kuhlman
- Alexander M. Sevy
- James E. Crowe Jr.
Citations in the corpus
- Algorithms for Protein Design (2016, methodology): “Allen and Mayo [81] adapted the FASTER algorithm, a heuristic optimization algorithm developed for protein design, to the multistate case.”
- Recent advances in de novo protein design: Principles, methods, and applications (2021, methodology): “Side chains were then designed by optimizing the Boltzmann-weighted average energy of all members from the ensemble using the fast and accurate side chain topology and energy refinement algorithm (153).”
- Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences (2015, methodology): “Additional rotamer optimization algorithms have been adapted for use in MSD, such as dead-end elimination [36], probabilistic graphical models [37], and iterative batch relaxation/single perturbation and relaxation [35].”
- A Generic Program for Multistate Protein Design (2011, methodology): “, the implementation is suited to perform both positive and negative design. We have tuned the parameters of our genetic algorithm to behave as well as Rosetta's existing single-state design algorithm at single-state design problems, but we have not compared the genetic algorithm's performance to th”