Fragment‐based local statistical potentials derived by combining an alphabet of protein local structures with secondary structures and solvent accessibilities

By Quan Li, Changhai Zhou, Haiyan Liu. 2009

20 citations recorded by the source corpus.

Subfields: 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 Molecular Biology

1. Yuedong Yang
2. Yaoqi Zhou
3. Liang Dai
4. Chun-chao Lo
5. Xiuwen Liu
6. Wei Wu
7. Jinfeng Zhang
8. Yang Chen

Citations in the corpus

• ProDCoNN: Protein design using a convolutional neural network (2019, methodology): “20-22 In 2010, Liang Dai et al introduced RosettaDesign-SR, which uses a sequence profile derived from the sequences of five residue fragments in a fragment library.”
• Improving computational protein design by using structure-derived sequence profile (2010, methodology): “20 , 65 , 66 We have successfully applied this structure-derived sequence profile for improving fold recognition and protein structure prediction.”