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Ricardo Núñez Miguel

dblp:75/1276 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein function prediction
functional residue prediction
0.012004
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
0.012004
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
0.012001
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
0.012001
HOMSTRAD: adding sequence information to structure-based alignments of homologous protein families · Bioinform. 2001
Bioinformatics and computational biology
structural bioinformatics
0.012001
HOMSTRAD: adding sequence information to structure-based alignments of homologous protein families · Bioinform. 2001
Bioinformatics and computational biology
protein structure analysis
0.012004
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
YearPublicationVenuePosition
2004 Sequence patterns derived from the automated prediction of functional residues in structurally-aligned homologous protein families
abstract
MOTIVATION: 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 families
abstract
summary: 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