
Abstract Summary: The microbial protein interaction database (MPIDB) aims to collect and provide all known physical microbial interactions. Currently, 22 530 experimentally determined interactions among proteins of 191 bacterial species/strains can be browsed and downloaded. These microbial interactions have been manually curated from the literature or imported from other databases (IntAct, DIP, BIND, MINT) and are linked to 24 060 experimental evidences (PubMed ID, PSI-MI methods). In contrast to these databases, interactions in MPIDB are further supported by 8150 additional evidences based on interaction conservation, co-purification and 3D domain contacts (iPfam, 3did). Availability: http://www.jcvi.org/mpidb/ Contact: jgoll@jcvi.org
info:eu-repo/classification/ddc/570, Models, Molecular, 570, Internet, Binding Sites, biology, Life sciences, Models, Biological, Applications Note, User-Computer Interface, Bacterial Proteins, Models, Chemical, Protein Interaction Mapping, Database Management Systems, ddc:570, Databases, Protein, Protein Binding
info:eu-repo/classification/ddc/570, Models, Molecular, 570, Internet, Binding Sites, biology, Life sciences, Models, Biological, Applications Note, User-Computer Interface, Bacterial Proteins, Models, Chemical, Protein Interaction Mapping, Database Management Systems, ddc:570, Databases, Protein, Protein Binding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 117 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
