YAKUSA: A fast structural database scanning method

By Mathilde Carpentier, S. Brouillet, Joël F. Pothier. 2005

84 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology, Spectroscopy

How researchers see this paper

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

In Artificial Intelligence

1. A. G. D. Brevern
2. James Bailey
3. Kotagiri Ramamohanarao
4. Bernard O. Offmann
5. Manoj Tyagi
6. Xingjun Ma

In Molecular Biology

1. Liisa Holm
2. Hitomi Hasegawa
3. A. G. D. Brevern
4. James Bailey
5. Kotagiri Ramamohanarao
6. Bernard O. Offmann
7. Lei Zhang
8. Arun Siddharth Konagurthu

In Spectroscopy

1. A. G. D. Brevern
2. Liisa Holm
3. James Bailey
4. Kotagiri Ramamohanarao
5. Bernard O. Offmann
6. Lei Zhang
7. Arun Siddharth Konagurthu
8. Manoj Tyagi

Citations in the corpus

• A fast indexing approach for protein structure comparison (2010, background): “YAKUSA [11] and SHEBA [12] also compare protein structures using their one-dimensional characterizations, either based on protein backbone internal angles or on their environmental profiles.”
• Local Protein Structures (2007, methodology): “It is further demonstrated by a rigorous comparative analysis (Table 6) that performance of PB-Align for comparing structures [379] and for mining similar folds was at least H A L athor m anscript inerm -00(17)5058, version 1”
• Advances and pitfalls of protein structural alignment. (2009, background): “Very fast programs can afford to perform one against all comparisons [7,8,13,18 (cid:2)(cid:2) ,40 – 42].”