Analysis of protein sequence/structure similarity relationships.

By H. H. Gan, R. Perlow, Sharmili Roy, Joy Ko, Min Wu, Jing Huang, Shixian Yan, A. Nicoletta, Jonathan Vafai, Ding Sun and 4 more. 2002

95 citations recorded by the source corpus.

Subfields: Materials Chemistry, 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 Materials Chemistry

1. Bonnie Berger
2. Tristan Bepler
3. Rachel Kolodny
4. Mickey Kosloff

In Molecular Biology

1. Bonnie Berger
2. Tristan Bepler
3. Rachel Kolodny
4. Mickey Kosloff
5. Kevin Kaichuang Yang
6. Lenore J. Cowen
7. Michael Heinzinger
8. Burkhard Rost

Citations in the corpus

• Learning protein sequence embeddings using information from structure (2019, methodology): “However, these methods are only appropriate for matching proteins with high sequence similarity [2, 3, 30].”
• Sequence-similar, structure-dissimilar protein pairs in the PDB (2007, background): “Similarly, the majority of the 1735 structurally dissimilar protein pairs reported by Gan et al. using representative probes 18 do not meet our structure resolution, RMSD, and sequence identity criteria.”