{"doi":"10.1109/temscon.2019.8813656","title":"Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction","abstract":null,"journal":"2019 IEEE Technology & Engineering Management Conference (TEMSCON)","year":2019,"id":596613,"datarank":0.29188652235829704,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"self_citation_contribution":0.29188652235829704,"citation_network_contribution":0.0,"self_endowment_contribution":0.29188652235829704,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":6,"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":117592,"name":"Leong Chan","orcid":null,"position":1,"is_corresponding":false},{"id":275753,"name":"Dong Si","orcid":"0000-0001-7039-2589","position":2,"is_corresponding":false},{"id":117594,"name":"Kasey Johnson","orcid":null,"position":3,"is_corresponding":false},{"id":117595,"name":"Connor Whyte","orcid":null,"position":4,"is_corresponding":false},{"id":275755,"name":"Renzhi Cao","orcid":"0000-0002-8345-343X","position":5,"is_corresponding":false},{"id":117591,"name":"Max Staples","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction","abstract":"AI recently shows great promise in the field of bioinformatics, such as protein structure prediction. The Critical Assessment of protein Structure Prediction (CASP) is a nationwide experiment that takes place biannually, which centered around analyzing the best current systems for predicting protein tertiary structures. In this paper, we research on available AI methods and features, and then explore novel methods based on reinforcement learning. Such method will have profound implications for R&D in bioinformatics and add an additional platform to the management of innovation in biotechnology.","is_dataset_classified":null,"base_score":1.9459101490553132,"endowment":1.9459101490553132,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"23304386","pmcid":null,"openalex_id":"https://openalex.org/W2970801846","authors":[],"funders":[],"total_grants":0,"fwci":null,"citation_percentile":null,"influential_citations":0,"citation_trend":[{"year":2019,"count":2},{"year":2020,"count":1},{"year":2021,"count":1},{"year":2022,"count":1},{"year":2024,"count":1}],"oa_status":"closed","license":"https://doi.org/10.15223/policy-029","oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx7/8804162/8813547/08813656.pdf?arnumber=8813656","host_type":"publisher"},{"url":"https://doi.org/10.1109/temscon.2019.8813656","host_type":""}],"fields_of_study":["Protein Structure and Dynamics","Machine Learning in Bioinformatics","Microbial Metabolic Engineering and Bioproduction"],"mesh_terms":[],"keywords":["CASP","Protein structure prediction","Structural bioinformatics","Computer science","Field (mathematics)","Protein folding","Artificial intelligence","Folding (DSP implementation)","Bioinformatics","Machine learning","Data science","Computational biology","Protein structure","Engineering","Biology"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-28T10:46:10.221798Z","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":[]}