MODELING AND INFERENCE OF SEQUENCE-STRUCTURE SPECIFICITY

By Hetunandan Kamisetty, Bornika Ghosh, C. Bailey‐Kellogg, Christopher James Langmead. 2009

8 citations recorded by the source corpus.

How researchers see this paper

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

1. Hetunandan Kamisetty
2. Raphael R. Eguchi
3. Namrata Anand-Achim
4. Sivaraman Balakrishnan
5. Po-Ssu Huang
6. Sergey Ovchinnikov
7. Alexander Derry
8. Russ B. Altman

Citations in the corpus

• Learning generative models for protein fold families (2011, background): “We have previously shown in [39], that it is possible to construct MRFs that integrate both sequence and structure information.”
• Protein sequence design with a learned potential (2020, background): “Most relevant to this work are statistical potentials which explicitly model local sequence and structure features at residue positions to perform sequence design [55, 57, 58, 69, 70, 71].”