MaxSub: an automated measure for the assessment of protein structure prediction quality
By N. Siew, Arne Elofsson, Leszek Rychlewski, Daniel Fischer. 2000
394 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Materials Chemistry, Molecular Biology, Computational Biology & Bioinformatics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Liam J. McGuffin
- Yang Zhang
- Björn Wallner
- Arne Elofsson
- Daniel B. Roche
- David Baker
- Jeffrey Skolnick
- Janusz M. Bujnicki
In Materials Chemistry
- Yang Zhang
- Liam J. McGuffin
- Jianlin Cheng
- David Baker
- Andrej Sali
- Björn Wallner
- Daniel B. Roche
- Torsten Schwede
In Molecular Biology
- Yang Zhang
- Liam J. McGuffin
- David Baker
- Jianlin Cheng
- Jinbo Xu
- Arne Elofsson
- David T. Jones
- Björn Wallner
In Computational Biology & Bioinformatics
Citations in the corpus
- DockQ: A Quality Measure for Protein-Protein Docking Models (2016, neutral): “In contrast to the protein structure prediction field, where there are several widely accepted quality measures; e.g., C α -RMSD, GDT_TS [3], MaxSub [4], TM-score [5], and S-score [6], the IS-score [7] for assessing protein complex models has not achieved wide adoption by the field and the current…”
- Protein 3D Structure Computed from Evolutionary Sequence Variation (2011, methodology): “8 Å for at least 75% of the residues, using the accepted practice of omitting a moderate fraction of badly fitting residues in order to avoid exaggerated influence from outliers resulting from the square in the definition of Ca-RMSD (using the MaxCluster suite [62]).”
- 3D structures of membrane proteins from genomic sequencing (2012, positive): “Structures are additionally clustered using MaxCluster (Siew et al., 2000) single-linkage clustering to eliminate high-ranked outliers belonging to small clusters.”
- Pcons: A neural‐network–based consensus predictor that improves fold recognition (2001, methodology): “1999), MaxSub (Siew et al. 2000), and sf4 (Lackner et al.”
- Protein homology detection by HMM?CHMM comparison (2005, methodology): “Here we employ a more direct approach, developed for the automatic assessment of structure prediction servers (Siew et al., 2000), where the generation of a structure-based sequence alignment is omitted as an intermediate step.”
- Rethinking Protein Drug Design with Highly Accurate Structure Prediction of Anti-CRISPR Proteins (2021, methodology): “Finally, a protein structure comparison and clustering tool called MaxCluster [42] was used to calculate the TM-scores of Set A and Set C.”
- CONFOLD2: improved contact-driven ab initio protein structure modeling (2017, methodology): “SCRATCH suite [9] is used to predict three-state secondary structure and Maxcluster [10] to compute pairwise model similarity for clustering.”
- The Phyre2 web portal for protein modelling, prediction and analysis (2015, methodology): “Superposition is performed using the MaxSub algorithm 33 .”
- SphereGrinder - reference structure-based tool for quality assessment of protein structural models (2015, background): “MaxSub [4] is similar to GDT, but deals only with one particular threshold.”
- Rosetta predictions in CASP5: Successes, failures, and prospects for complete automation (2003, methodology): “When assessed by a variant of MaxSub, 19 which uses RMSD as the threshold, the five submitted models were similar to those picked by the standard protocol alone (Table I).”
- SP5: Improving Protein Fold Recognition by Using Torsion Angle Profiles and Profile-Based Gap Penalty Model (2008, methodology): “MaxSub score [37] between the predicted (model) structure and the native structure is a measure of similarity between 0.0 (no similarity) and 1.0 (perfect similarity).”
- 3D Protein Structure Predicted from Sequence (2011, neutral): “8Å for at least 75% of the residues (using the accepted practice of omitting a moderate fraction of badly fitting residues in order to avoid exaggerated influence from outliers resulting from the ”