EVA: Large-scale analysis of secondary structure prediction

Proteins: Structure, Function and Genetics

Volumn 45, Issue SUPPL. 5, 2001, Pages 192-199

  Rost, Burkhard ^a   Eyrich, Volker A ^a  

^a Columbia University ^*  (United States)

Author keywords

Automatic evaluation; Large scale assessment; Protein structure prediction

Indexed keywords

ACCURACY; ARTICLE; AUTOMATION; DATA BASE; EVOLUTION; INTERNET; PREDICTION; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; STRUCTURE ANALYSIS; COMPUTER PROGRAM; PROTEIN DATABASE; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS;

DATABASES, PROTEIN; PROTEIN STRUCTURE, SECONDARY; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE;

EID: 0035698737     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.10051     Document Type: Article

References (59)

1. Dictionary of protein secondary structure: Pattern recognition of hydrogen bonded and geometrical features
2. Evaluation and improvement of multiple sequence methods for protein secondary structure prediction
3. PHD: Predicting one-dimensional protein structure by profile based neural networks
4. Alignments grow, secondary structure prediction improves
5. Gapped Blast and PSI-Blast; a new generation of protein database search programs
6. Cascaded multiple classifiers for secondary structure prediction
7. Protein secondary structure prediction based on positionspecific scoring matrices
8. Predicting protein structure using only sequence information
9. Exploiting the past and the future in protein secondary structure prediction
10. Bridging the protein sequence-structure gap by structure predictions
11. Sisyphus and prediction of protein structure
12. Role of proline in polypeptide chain configuration of proteins
13. Progress of 1D protein structure prediction at last
14. Better 1D predictions by experts with machines
15. EVA: Continuous automatic evaluation of protein structure prediction servers
16. JPred: A consensus secondary structure prediction server
17. The PSIPRED protein structure prediction server
18. Prediction of protein secondary structure at better than 70% accuracy
19. Combining evolutionary information and neural networks to predict protein secondary structure
20. The protein data bank
21. Database of homology-derived structures and the structural meaning of sequence alignment
22. Twilight zone of protein sequence alignments
23. The structure, function and evolution of cytochromes
24. Redefining the goals of protein secondary structure prediction
25. Evaluation of current techniques for ab initio protein structure prediction
26. A modified definition of SOV, a segment-based measure for protein secondary structure prediction assessment
27. A simplified representation of protein conformations for rapid simulation of protein folding
28. Structural patterns in globular proteins
29. Improvements in protein secondary structure prediction by an enhanced neural network
30. An optimization approach to predicting protein structural class from amino acid composition
31. Assessment of novel folds targets in CASP4: Predictions of three-dimensional structures, secondary structures, and interresidue contacts
32. CAFASP2: The second critical assessment of fully automated structure prediction methods
33. Jury returns on structure prediction
34. A structural census of the current population of protein sequences
35. A protein taxonomy based on secondary structure
36. Prediction of protein secondary structure content
37. Skewed distribution of protein secondary structure contents over the conformational triangle
38. How good is prediction of protein structural class by the component-coupled method?
39. New methods for accurate prediction of protein secondary structure
40. Theory of protein secondary structure and algorithm of its prediction
41. Continuous secondary structure assignment correlates with protein flexibility
42. Context-dependent secondary structure formation of a designed protein sequence
43. Analysis of the effect of local interactions on protein stability
44. Protein engineering as a strategy to avoid formation of amyloid fibrils
45. Predicting conformational switches in proteins
46. The relative order of helical propensity of amino acids changes with solvent environment
47. What is the minimum number of residues to determine the secondary structural state?
48. Predictions of protein segments with the same aminoacid sequence and different secondary structure: A benchmark for predictive methods
49. An analysis of the helix-to-strand transition between peptides with identical sequence
50. Predicting allosteric switches in myosins
51. Neural networks to study invariant features of protein folding
52. Prediction of the location and type of beta-turns in proteins using neural networks
53. HMMSTR: A hidden Markov model for local sequence-structure correlations in proteins
54. Advances in structural genomics
55. Comparison of the predicted and observed secondary structure of T4 phage lysozyme