{"doi":"10.15406/mojpb.2014.01.00013","title":"Cellular Automata in Splice Site Prediction","abstract":null,"journal":"MOJ Proteomics & Bioinformatics","year":2014,"id":686060,"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":1792416,"name":"Pokkuluri Kiran Sree","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Cellular Automata in Splice Site Prediction","abstract":"Splice site prediction is one of the important problems in Bioinformatics. Splicing is the way in which introns are removed from pre-mRNA transcript and exons are joined before translation. The position where the introns are spliced out is called as splice site. Identifying the splice junction plays vital role in understanding the genes. For an efficient study on eukaryotic genes the first step is to predict the splice site accurately. Accurate prediction of splice site will lead to accurate prediction of gene structure. There are three categories of splice site exist; they are acceptor site (AS), donor site (DS) and neither of these. The proposed classifier AIS-SSMACA has to take DNA sequence as input and predict the category (AS/DS/Neither).","is_dataset_classified":null,"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":"26207759","pmcid":null,"openalex_id":"https://openalex.org/W2115063609","authors":[],"funders":[],"total_grants":0,"fwci":0.0,"citation_percentile":0.09734959,"influential_citations":0,"citation_trend":[],"oa_status":"bronze","license":"other-oa","oa_locations":[{"url":"https://medcraveonline.com/MOJPB/MOJPB-01-00013.pdf","host_type":"journal"},{"url":"https://medcraveonline.com/MOJPB/MOJPB-01-00013.pdf","host_type":"publisher"},{"url":"http://medcraveonline.com/MOJPB/MOJPB-01-00013.php","host_type":"publisher"},{"url":"https://doi.org/10.15406/mojpb.2014.01.00013","host_type":"journal"}],"fields_of_study":["Fractal and DNA sequence analysis","Cellular Automata and Applications","RNA and protein synthesis mechanisms"],"mesh_terms":[],"keywords":["Computational biology","Biology","splice","Cellular automaton","Computer science","Molecular biomarkers","Genetics","Bioinformatics","Gene","Artificial intelligence","Medicine"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-18T18:26:54.092474Z","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":[]}