Demo Data from EDBT 2026 / reviewers in the wild / expert
Ricardo Núñez Miguel
dblp:75/1276
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein function prediction
functional residue prediction |
0.0 | 1 | 2004 | Sequence patterns derived from the automated prediction of functional residues in structurally-aligned homologous protein families · Bioinform. 2004 |
Bioinformatics and computational biology
protein function prediction |
0.0 | 1 | 2004 | Sequence patterns derived from the automated prediction of functional residues in structurally-aligned homologous protein families · Bioinform. 2004 |
Bioinformatics and computational biology › protein structure analysis
protein structure alignment |
0.0 | 1 | 2001 | HOMSTRAD: adding sequence information to structure-based alignments of homologous protein families · Bioinform. 2001 |
Bioinformatics and computational biology › structural bioinformatics › sequence-structure relationship
sequence-structure integration |
0.0 | 1 | 2001 | HOMSTRAD: adding sequence information to structure-based alignments of homologous protein families · Bioinform. 2001 |
Bioinformatics and computational biology
structural bioinformatics |
0.0 | 1 | 2001 | HOMSTRAD: adding sequence information to structure-based alignments of homologous protein families · Bioinform. 2001 |
Bioinformatics and computational biology
protein structure analysis |
0.0 | 1 | 2004 | Sequence patterns derived from the automated prediction of functional residues in structurally-aligned homologous protein families · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
solvent accessibility calculation · 0.0evolutionary trace analysis · 0.0environment-dependent substitution tables · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Sequence patterns derived from the automated prediction of functional residues in structurally-aligned homologous protein familiesabstractMOTIVATION: Most proteins have evolved to perform specific functions that are dependent on the adoption of well-defined three-dimensional (3D) structures. Specific patterns of conserved residues in amino acid sequences of divergently evolved proteins are frequently observed; these may reflect evolutionary restraints arising both from the need to maintain tertiary structure and the requirement to conserve residues more directly involved in function. Databases of such sequence patterns are valuable in identifying distant homologues, in predicting function and in the study of evolution. RESULTS: A fully automated database of protein sequence patterns, Functional Protein Sequence Pattern Database (FPSPD), has been derived from the analysis of the conserved residues that are predicted to be functional in structurally aligned homologous families in the HOMSTRAD database. Environment-dependent substitution tables, evolutionary trace analysis, solvent accessibility calculations and 3D-structures were used to obtain the FPSPD. The method yielded 3584 patterns that are considered functional and 3049 patterns that are probably functional. FPSPD could be useful for assigning a protein to a homologous superfamily and thereby providing clues about function. AVAILABILITY: FPSPD is available at http://www-cryst.bioc.cam.ac.uk/~fpspd/ Ricardo Núñez Miguel |
Bioinform. | 1 |
| 2001 | HOMSTRAD: adding sequence information to structure-based alignments of homologous protein familiesabstractsummary: We describe an extension to the Homologous Structure Alignment Database (HOMSTRAD; Mizuguchi et al., Protein Sci., 7, 2469-2471, 1998a) to include homologous sequences derived from the protein families database Pfam (Bateman et al., Nucleic Acids Res., 28, 263-266, 2000). HOMSTRAD is integrated with the server FUGUE (Shi et al., submitted, 2001) for recognition and alignment of homologues, benefitting from the combination of abundant sequence information and accurate structure-based alignments. AVAILABILITY The HOMSTRAD database is available at: http://www-cryst.bioc.cam.ac.uk/homstrad/. Query sequences can be submitted to the homology recognition/alignment server FUGUE at: http://www-cryst.bioc.cam.ac.uk/fugue/. Paul I. W. de Bakker, Alex Bateman, David F. Burke, Ricardo Núñez Miguel, Kenji Mizuguchi, Jiye Shi, Hiroki Shirai, Tom L. Blundell |
Bioinform. | 4 |