Searching across hundreds of databases
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: http://helix-web.stanford.edu/LPFC/
Proper Citation: LPFC: A Library of Protein Family Cores (RRID:SCR_007765)
Description: LPFC is a database of structural alignments of protein families and computed average core structures for each family. The core structures can be divided into residues with low spatial variation and those with high spatial variation. Amino acids with low spatial variance occupy essentially the same relative position in all family members. This library is useful for building models, threading, and exploratory analysis. It is also a useful mechanism for summarizing variability in NMR structures.
Synonyms: LPFC
Resource Type: database, data or information resource
Expand Allhas parent organization |
We found {{ ctrl2.mentions.total_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for LPFC: A Library of Protein Family Cores.
No alerts have been found for LPFC: A Library of Protein Family Cores.
Source: SciCrunch Registry
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
