Demo Data from EDBT 2026 / reviewers in the wild / expert
Jessica H. Fong
dblp:20/4003
· DBLP profile ↗
4ranked-venue papers
4as first author
0since 2021 · last 2009
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 2 · 2 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
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
multiple sequence alignment |
0.1 | 1 | 2009 | CORAL: aligning conserved core regions across domain families · Bioinform. 2009 |
Bioinformatics and computational biology › multiple sequence alignment
profile-profile alignment |
0.1 | 1 | 2009 | CORAL: aligning conserved core regions across domain families · Bioinform. 2009 |
Bioinformatics and computational biology › protein function prediction › protein classification
protein family classification |
0.1 | 1 | 2009 | CORAL: aligning conserved core regions across domain families · Bioinform. 2009 |
Bioinformatics and computational biology
protein sequence analysis |
0.1 | 1 | 2009 | CORAL: aligning conserved core regions across domain families · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
profile-profile alignment · 0.1local alignment · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | CORAL: aligning conserved core regions across domain familiesabstractMOTIVATION: Homologous protein families share highly conserved sequence and structure regions that are frequent targets for comparative analysis of related proteins and families. Many protein families, such as the curated domain families in the Conserved Domain Database (CDD), exhibit similar structural cores. To improve accuracy in aligning such protein families, we propose a profile-profile method CORAL that aligns individual core regions as gap-free units. RESULTS: CORAL computes optimal local alignment of two profiles with heuristics to preserve continuity within core regions. We benchmarked its performance on curated domains in CDD, which have pre-defined core regions, against COMPASS, HHalign and PSI-BLAST, using structure superpositions and comprehensive curator-optimized alignments as standards of truth. CORAL improves alignment accuracy on core regions over general profile methods, returning a balanced score of 0.57 for over 80% of all domain families in CDD, compared with the highest balanced score of 0.45 from other methods. Further, CORAL provides E-values to aid in detecting homologous protein families and, by respecting block boundaries, produces alignments with improved 'readability' that facilitate manual refinement. AVAILABILITY: CORAL will be included in future versions of the NCBI Cn3D/CDTree software, which can be downloaded at http://www.ncbi.nlm.nih.gov/Structure/cdtree/cdtree.shtml. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Jessica H. Fong, Aron Marchler-Bauer |
Bioinform. | 1 |
| 2009 | Intrinsic Disorder in Protein Interactions: Insights From a Comprehensive Structural AnalysisabstractWe perform a large-scale study of intrinsically disordered regions in proteins and protein complexes using a non-redundant set of hundreds of different protein complexes. In accordance with the conventional view that folding and binding are coupled, in many of our cases the disorder-to-order transition occurs upon complex formation and can be localized to binding interfaces. Moreover, analysis of disorder in protein complexes depicts a significant fraction of intrinsically disordered regions, with up to one third of all residues being disordered. We find that the disorder in homodimers, especially in symmetrical homodimers, is significantly higher than in heterodimers and offer an explanation for this interesting phenomenon. We argue that the mechanisms of regulation of binding specificity through disordered regions in complexes can be as common as for unbound monomeric proteins. The fascinating diversity of roles of disordered regions in various biological processes and protein oligomeric forms shown in our study may be a subject of future endeavors in this area. Jessica H. Fong, Benjamin A. Shoemaker, Sergiy O. Garbuzynskiy, Michail Yu. Lobanov, Oxana V. Galzitskaya, Anna R. Panchenko |
PLoS Comput. Biol. | 1 |
| 2005 | Better Alternatives to OSPF Routing
Jessica H. Fong, Anna Gilbert 0001, Sampath Kannan, Martin Strauss 0001 |
Algorithmica | 1 |
| 2000 | An Approximate Lp-Difference Algorithm for Massive Data Streams
Jessica H. Fong, Martin Strauss 0001 |
STACS | 1 |