EDBT 2026 Demo / reviewers in the wild / expert
Rachita Ramachandra Halehalli
dblp:161/2939
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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
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 › protein analysis
protein-protein interaction |
0.2 | 1 | 2015 | Molecular principles of human virus protein-protein interactions · Bioinform. 2015 |
Bioinformatics and computational biology › microbiology
virus-host interaction |
0.2 | 1 | 2015 | Molecular principles of human virus protein-protein interactions · Bioinform. 2015 |
Bioinformatics and computational biology
molecular flexibility |
0.1 | 1 | 2015 | Molecular principles of human virus protein-protein interactions · Bioinform. 2015 |
Bioinformatics and computational biology › protein structure analysis
protein intrinsic disorder |
0.1 | 1 | 2015 | Molecular principles of human virus protein-protein interactions · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
sequence analysis · 0.2network analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Molecular principles of human virus protein-protein interactionsabstractMOTIVATION: Viruses, from the human protein-protein interaction network perspective, target hubs, bottlenecks and interconnected nodes enriched in certain biological pathways. However, not much is known about the general characteristic features of the human proteins interacting with viral proteins (referred to as hVIPs) as well as the motifs and domains utilized by human-virus protein-protein interactions (referred to as Hu-Vir PPIs). RESULTS: Our study has revealed that hVIPs are mostly disordered proteins, whereas viral proteins are mostly ordered proteins. Protein disorder in viral proteins and hVIPs varies from one subcellular location to another. In any given viral-human PPI pair, at least one of the two proteins is structurally disordered suggesting that disorder associated conformational flexibility as one of the characteristic features of virus-host interaction. Further analyses reveal that hVIPs are (i) slowly evolving proteins, (ii) associated with high centrality scores in human-PPI network, (iii) involved in multiple pathways, (iv) enriched in eukaryotic linear motifs (ELMs) associated with protein modification, degradation and regulatory processes, (v) associated with high number of splice variants and (vi) expressed abundantly across multiple tissues. These aforementioned findings suggest that conformational flexibility, spatial diversity, abundance and slow evolution are the characteristic features of the human proteins targeted by viral proteins. Hu-Vir PPIs are mostly mediated via domain-motif interactions (DMIs) where viral proteins employ motifs that mimic host ELMs to bind to domains in human proteins. DMIs are shared among viruses belonging to different families indicating a possible convergent evolution of these motifs to help viruses to adopt common strategies to subvert host cellular pathways. AVAILABILITY AND IMPLEMENTATION: Hu-Vir PPI data, DDI and DMI data for human-virus PPI can be downloaded from http://cdfd.org.in/labpages/computational_biology_datasets.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Rachita Ramachandra Halehalli, Hampapathalu A. Nagarajaram |
Bioinform. | 1 |