Demo Data from VLDB 2026 / reviewers in the wild / expert
Mark A. Blenner
dblp:150/0076
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
post-translational modification |
0.2 | 1 | 2014 | Structural and energetic determinants of tyrosylprotein sulfotransferase sulfation specificity · Bioinform. 2014 |
Bioinformatics and computational biology › structural biology › protein structure and function
protein structure and function prediction |
0.1 | 1 | 2014 | Structural and energetic determinants of tyrosylprotein sulfotransferase sulfation specificity · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
molecular modeling · 0.2local unfolding energetics · 0.2binding affinity estimation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Structural and energetic determinants of tyrosylprotein sulfotransferase sulfation specificityabstractMOTIVATION: Tyrosine sulfation is a type of post-translational modification (PTM) catalyzed by tyrosylprotein sulfotransferases (TPST). The modification plays a crucial role in mediating protein-protein interactions in many biologically important processes. There is no well-defined sequence motif for TPST sulfation, and the underlying determinants of TPST sulfation specificity remains elusive. Here, we perform molecular modeling to uncover the structural and energetic determinants of TPST sulfation specificity. RESULTS: We estimate the binding affinities between TPST and peptides around tyrosines of both sulfated and non-sulfated proteins to differentiate them. We find that better differentiation is achieved after including energy costs associated with local unfolding of the tyrosine-containing peptide in a host protein, which depends on both the peptide's secondary structures and solvent accessibility. Local unfolding renders buried peptide-with ordered structures-thermodynamically available for TPST binding. Our results suggest that both thermodynamic availability of the peptide and its binding affinity to the enzyme are important for TPST sulfation specificity, and their interplay results into great variations in sequences and structures of sulfated peptides. We expect our method to be useful in predicting potential sulfation sites and transferable to other TPST variants. Our study may also shed light on other PTM systems without well-defined sequence and structural specificities. AVAILABILITY AND IMPLEMENTATION: All the data and scripts used in the work are available at http://dlab.clemson.edu/research/Sulfation. Praveen Nedumpully-Govindan, Lin Li 0003, Emil Alexov, Mark A. Blenner, Feng Ding 0002 |
Bioinform. | 4 |