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Gautam Chaurasia

dblp:01/5452 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2007
—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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein analysis › protein-protein interaction › protein-protein interaction network analysis
comparative interactomics
0.112007
Comparison of human protein-protein interaction maps · Bioinform. 2007
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction network
0.112007
Comparison of human protein-protein interaction maps · Bioinform. 2007
Bioinformatics and computational biology › biological database
protein interaction database
0.012007
Comparison of human protein-protein interaction maps · Bioinform. 2007

Methods — techniques the papers use, named apart from their topics

yeast two-hybrid · 0.1orthology · 0.1literature search · 0.1
YearPublicationVenuePosition
2007 Comparison of human protein-protein interaction maps
abstract
MOTIVATION: Large-scale mappings of protein-protein interactions have started to give us new views of the complex molecular mechanisms inside a cell. After initial projects to systematically map protein interactions in model organisms such as yeast, worm and fly, researchers have begun to focus on the mapping of the human interactome. To tackle this enormous challenge, different approaches have been proposed and pursued. While several large-scale human protein interaction maps have recently been published, their quality remains to be critically assessed. RESULTS: We present here a first comparative analysis of eight currently available large-scale maps with a total of over 10,000 unique proteins and 57,000 interactions included. They are based either on literature search, orthology or by yeast-two-hybrid assays. Comparison reveals only a small, but statistically significant overlap. More importantly, our analysis gives clear indications that all interaction maps imply considerable selection and detection biases. These results have to be taken into account for future assembly of the human interactome. AVAILABILITY: An integrated human interaction network called Unified Human Interactome (UniHI) is made publicly accessible at http://www.mdc-berlin.de/unihi. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Matthias E. Futschik, Gautam Chaurasia, Hanspeter Herzel
Bioinform.2