Collection Citation
| Collection Title | REceptor Ligand Contacts (RELIC) Database | ||
| Collection Sponsor | USDOE - Office of Science (SC) | ||
| Host Website | Argonne National Laboratory (ANL), Biosciences | ||
| Main Content Type | Specialized Mix | ||
| Subject Categories | 59 - BASIC BIOLOGICAL SCIENCES | ||
| Keywords | Genomics; Proteomics; Ligands; Receptors; Proteins; Molecules; Peptides; Bioinformatics; Biosciences; | ||
| Description | The long term goal of our research is the genome-wide identification of small molecule binding sites on proteins using phage displayed peptides. Preliminary results demonstrate that the similarity between the sequence of a protein and the sequences of phage-displayed peptides affinity-selected against small molecules can be predictive for protein binding to that small molecule ligand. Affinity-selected peptides provide information analogous to that of a consensus-binding sequence, and can be used in an analogous fashion to identify ligand binding sites. Libraries of phage-displayed peptides are screened for affinity to common metabolites and other small molecule ligands. The sequences of affinity-selected peptides are determined and used as the basis of genome-wide analyses to identify proteins that have a high probability of binding to the screened ligands. Each set of affinity-selected peptides are validated through comparison with well-characterized proteins, and can be used for genome-wide annotation of all available genomes. RELIC is a publicly accessible bio-technology system that utlilizes web technology, traditional programming and a relational database to process and manipulate the experimental data of affinity selected peptides. RELIC is intended to provide to the community the access to our sequence analysis tools as well as the sequences of affinity-selected peptides of multiple ligands and the functional information generated from our research. Our programs can statistically analyze a population of peptides, search for motifs with peptides, predict what parts of the protein are involved in binding, and rank order the proteins against a set of peptides to predict which proteins are most likely to bind that ligand. [Copied and edited from https://relic.bio.anl.gov] Acknowledgement to: Sunetta Mandava, Lee Makowski, Satish Devarapalli, Joseph Uzubell, and Diane J. Rodi. RELIC – A bioinformatics server for combinatorial peptide analysis and identification of protein-ligand interaction sites. Proteomics 2004, 4, 1439-1460. | ||
| DDE Number | DDE00357 | ||
| Special Interface | Yes | ||
| Registration_Required | Yes |
