Dali: a network tool for protein structure comparison.
By Liisa Holm, Christopher Sander. 1995
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Yang Zhang
- Andriy Kryshtafovych
- Lisa N. Kinch
- Björn Wallner
- Krzysztof Fidelis
- Jianyi Yang
- John Moult
- Liam J. McGuffin
Citations in the corpus
- TM-align: a protein structure alignment algorithm based on the TM-score (2005, neutral): “TM-align is also faster than two other often-used algorithms, CE (17) and DALI (38), and yet provides structure alignments of higher TM-score (which is not surprising since maximization of the TMscore is the goal of the TM-align objective function).”
- 3D structures of membrane proteins from genomic sequencing (2012, neutral): “…predicted adiponectin receptor 3D structures are surprisingly similar ( (cid:1) 4.5 A˚ C a -rmsd over 204 residues) to the bacteriorhodopsin crystal structure (PDB: 3hao), with highly significant Dali (Holm and Sander, 1995) Z scores between 7 and 13, despite negligible sequence identity (8”
- Comparison of performance in successive CASP experiments (2001, methodology): “For CASPs 1 and 2, lists of the potential template structures to each target were generated using DALI.(3) For CASPs 3 and 4, these lists were generated using PROSUP.”
- DALI and the persistence of protein shape (2019, methodology): “The wider use of automated structure comparison programs was propelled by their availability as network services.(7,8) The automated methods allowed all-against-all structure comparison and clustering of all known structures, that is, the mapping of fold space.”
- MEROPS: the database of proteolytic enzymes, their substrates and inhibitors (2013, methodology): “The DALI algorithm and server (13) is used to compare structures, and if the z-score from the DALI comparison to that of an existing member of a clan is >6.”
- Dali server: conservation mapping in 3D (2010, background): “The Dali server has evolved to cope with the growth of the PDB, which is now a hundred times bigger than when the server started (8).”
- How significant is a protein structure similarity with TM-score = 0.5? (2010, methodology): “The purpose of the gapless alignment is to generate a random structure background, because a structural alignment, produced by tools such as Dali (Holm and Sander, 1995) and TM-align (Zhang and Skolnick, 2005), usually represents an optimal match of a given pair of protein structures that is selecte”
- Scoring function for automated assessment of protein structure template quality (2004, background): “ments for protein modeling quality in the literature.(1,2,15,19,20,22,23) With MAMMOTH(19) for example, Ortiz and coworkers assess structures by comparing both local and global similarities.”