Potential functions for hydrogen bonds in protein structure prediction and design.

By Alexandre V. Morozov, Tanja Kortemme. 2005

65 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Physical and Theoretical Chemistry

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

1. Jeffrey J. Gray
2. David Baker
3. Brian Kuhlman
4. Tanja Kortemme
5. Sergey Lyskov
6. Richard Lavery
7. F. Boas
8. Pehr Harbury

In Molecular Biology

1. David Baker
2. Jeffrey J. Gray
3. Tanja Kortemme
4. Brian Kuhlman
5. Andrew Leaver-Fay
6. Sergey Lyskov
7. Ron Jacak
8. Jens Meiler

In Physical and Theoretical Chemistry

1. Jane S. Richardson

Citations in the corpus

• Scientific Benchmarks for Guiding Macromolecular Energy Function Improvement (2013, background): “…Rosetta community, we have observed that improvements to the energy function, independently conceived to fix a particular aspect of Rosetta’s behavior, have produced improvements in sequence recovery when redesigning naturally occurring proteins (Kuhlman & Baker, 2000; Morozov & Kortemme, 2005).”
• Potential energy functions for protein design. (2007, methodology): “Using the PDB statistics, they developed a knowledge-based hydrogen-bonding energy function [20,37] and used it to design a new protein [12].”