{"doi":"10.1002/047001153x.g306406","title":"Classification of proteins by sequence signatures","abstract":"<jats:title>Abstract</jats:title>\n          <jats:p>The prediction of a protein's function from its amino acid sequence is one of the most important tasks in bioinformatics. The traditional procedure of searching databases for related sequences and inferring the function from the best matches has several shortcomings and pitfalls. Alternatively, the sequence under study can be scrutinized for the occurrence of particular sequence signatures that can be associated with certain protein functionalities. Useful sequence signatures not only include short motifs such as protein modification sites or specific binding motifs but also encompass larger protein regions, such as homology domains. There exist a number of fundamentally different bioinformatical data structures, which can be used to store information about sequence signatures, thus making them available for the purpose of protein classification.</jats:p>","journal":"Encyclopedia of Genetics, Genomics, Proteomics and Bioinformatics","year":2005,"id":15721,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":90539,"name":"Kay Hofmann","orcid":"0000-0002-2289-9083","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":0.0,"endowment":0.0,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"24259432","pmcid":null,"openalex_id":"https://openalex.org/W1568877569","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[],"oa_status":"closed","license":"http://doi.wiley.com/10.1002/tdm_license_1.1","oa_locations":[{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/047001153X.g306406","host_type":"publisher"},{"url":"https://doi.org/10.1002/047001153x.g306406","host_type":"journal"}],"fields_of_study":["Machine Learning in Bioinformatics","Protein Structure and Dynamics","RNA and protein synthesis mechanisms","Mathematics","Biology","Computer Science"],"mesh_terms":[],"keywords":["Sequence (biology)","Computational biology","Protein function prediction","Protein sequencing","Sequence logo","Sequence motif","Protein function","Sequence homology","Computer science","Function (biology)","Homology (biology)","Sequence alignment","Sequence analysis","Sequence database","Protein structure database","Peptide sequence","Bioinformatics","Biology","Data mining","Genetics","Amino acid","Gene"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-06-01T18:45:19.969204Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}