Saccharomyces cerevisiae Protein-Protein Interaction Binding Sites Database | |||
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BindingR is a database for Saccharomyces cerevisiae protein-protein interaction binding sites at an aggregate aspect combining domain-domain, domain-motif, and motif-motif levels. It provides users with a web-based interface for fast and convenient access to all potential binding sites of a given interacting protein pair at the three levels. |
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Geting started using BindingR | |||
? The instruction of input IDs or accession numbers Uniprot accession number: e.g., P34111 SGD accession number: e.g., S000000001 Pfam accession number: e.g., PF00176 Prosite accession number: e.g., PS00001 |
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Query
binding sites among
proteins Browsing inter-member interactions and the corresponding binding sites by entering a list of proteins: we provide users to extract the interactions of alist of interest proteins. Users can browse the inter-member interactions and the corresponding binding sites at three levels of motif-motif, motif-domain and domain-domain by inputting a list of SGD, Uniprot accession number and choosing an interaction dataset. operation flow: |
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Query binding sites for a given
protein Searching by protein identification code:given a SGD, Uniprot accession number and chosen an interaction dataset, a group of interactors of the query protein and corresponding binding sites at three levels of motif-motif, motif-domain and domain-domain is returned. operation flow:
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? Binding
sites search Searching by two domain(, two motifs, or one domain and one motif) accession numbers: this searchfacilitates to retrieve the q-value of the corresponding domain or motif by entering their accession numbers. At the same time, if the q-value is less than 0.01, user can get the statistic information occurring in three interaction datasets. operation flow: |
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Search for a
single domain or motif Searching by one domain or motif accession number:by entering a domain or motif number, users can attain the potential interaction partners. operation flow: |
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Laboratory of Computational Molecular Biology. Beijing Normal University. |