Journal
BIOINFORMATICS
Volume 32, Issue 17, Pages 2716-2718Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw232
Keywords
-
Categories
Funding
- NHLBI NIH HHS [R01 HL110879] Funding Source: Medline
- NIAID NIH HHS [U19 AI107775, R01 AI101307] Funding Source: Medline
- NIGMS NIH HHS [R01 GM097112, R01 GM086688] Funding Source: Medline
Ask authors/readers for more resources
Motivation: Large-scale chemical cross-linking with mass spectrometry (XL-MS) analyses are quickly becoming a powerful means for high-throughput determination of protein structural information and protein-protein interactions. Recent studies have garnered thousands of cross-linked interactions, yet the field lacks an effective tool to compile experimental data or access the network and structural knowledge for these large scale analyses. We present XLinkDB 2.0 which integrates tools for network analysis, Protein Databank queries, modeling of predicted protein structures and modeling of docked protein structures. The novel, integrated approach of XLinkDB 2.0 enables the holistic analysis of XL-MS protein interaction data without limitation to the cross-linker or analytical system used for the analysis.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available