{"id":"https://openalex.org/W7005943124","doi":null,"title":"In silico approaches for the detection of zinc ion in regulatory proteins","display_name":"In silico approaches for the detection of zinc ion in regulatory proteins","publication_year":2022,"publication_date":"2022-09-29","ids":{"openalex":"https://openalex.org/W7005943124"},"language":"pt","primary_location":{"id":"pmh:oai:estudogeral.uc.pt:10316/105979","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10316/105979","pdf_url":"https://estudogeral.uc.pt/bitstream/10316/105979/1/Thesis_Ulyana_Motresku.pdf","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://estudogeral.uc.pt/bitstream/10316/105979/1/Thesis_Ulyana_Motresku.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Motresku, Ulyana","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Motresku, Ulyana","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10044","display_name":"Protein Structure and Dynamics","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/zinc-binding","display_name":"zinc binding","score":0.7139999866485596},{"id":"https://openalex.org/keywords/protein-sequence-features","display_name":"protein sequence features","score":0.42899999022483826},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.9340000152587891},{"id":"https://openalex.org/keywords/long-short-term-memory-networks","display_name":"long short-term memory networks","score":0.8149999976158142},{"id":"https://openalex.org/keywords/gated-recurrent-unit","display_name":"gated recurrent unit","score":0.9959999918937683},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.7490000128746033},{"id":"https://openalex.org/keywords/benchmark-dataset","display_name":"benchmark dataset","score":0.4749999940395355},{"id":"https://openalex.org/keywords/in-silico-prediction","display_name":"in silico prediction","score":0.5759999752044678},{"id":"https://openalex.org/keywords/protein-characterization","display_name":"protein characterization","score":0.38199999928474426},{"id":"https://openalex.org/keywords/metalloproteins","display_name":"metalloproteins","score":0.6549999713897705},{"id":"https://openalex.org/keywords/biomedicine","display_name":"biomedicine","score":0.3930000066757202},{"id":"https://openalex.org/keywords/biotechnology","display_name":"biotechnology","score":0.9440000057220459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.31299999356269836}],"concepts":[{"id":"https://openalex.org/C2775905019","wikidata":"https://www.wikidata.org/wiki/Q192572","display_name":"In silico","level":3,"score":0.7925999760627747},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.6700999736785889},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4081000089645386},{"id":"https://openalex.org/C535196362","wikidata":"https://www.wikidata.org/wiki/Q758","display_name":"Zinc","level":2,"score":0.40290001034736633},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C153911025","wikidata":"https://www.wikidata.org/wiki/Q7202","display_name":"Molecular biology","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C24284526","wikidata":"https://www.wikidata.org/wiki/Q204785","display_name":"Zinc finger","level":4,"score":0.2395000010728836},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23680000007152557},{"id":"https://openalex.org/C12554922","wikidata":"https://www.wikidata.org/wiki/Q7100","display_name":"Biophysics","level":1,"score":0.22679999470710754},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21789999306201935}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:estudogeral.uc.pt:10316/105979","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10316/105979","pdf_url":"https://estudogeral.uc.pt/bitstream/10316/105979/1/Thesis_Ulyana_Motresku.pdf","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},{"id":"pmh:oai:estudogeral.sib.uc.pt:10316/105979","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10316/105979","pdf_url":null,"source":{"id":"https://openalex.org/S4306402070","display_name":"Estudo Geral (Universidad de Coimbra)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I76903346","host_organization_name":"University of Coimbra","host_organization_lineage":["https://openalex.org/I76903346"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/masterThesis"}],"best_oa_location":{"id":"pmh:oai:estudogeral.uc.pt:10316/105979","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/10316/105979","pdf_url":"https://estudogeral.uc.pt/bitstream/10316/105979/1/Thesis_Ulyana_Motresku.pdf","source":{"id":"https://openalex.org/S4306402433","display_name":"Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"master thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7005943124.pdf","grobid_xml":"https://content.openalex.org/works/W7005943124.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W178379797","https://openalex.org/W1563485798","https://openalex.org/W1969995117","https://openalex.org/W1975982137","https://openalex.org/W1977444898","https://openalex.org/W2008708467","https://openalex.org/W2017519756","https://openalex.org/W2025004204","https://openalex.org/W2065880164","https://openalex.org/W2066662117","https://openalex.org/W2109681606","https://openalex.org/W2145144268","https://openalex.org/W2157253968","https://openalex.org/W2158714788","https://openalex.org/W2260617737","https://openalex.org/W2472103865","https://openalex.org/W2735165948","https://openalex.org/W2767749844","https://openalex.org/W2794821769","https://openalex.org/W2885079199","https://openalex.org/W2899510892","https://openalex.org/W2911964244","https://openalex.org/W2983964159","https://openalex.org/W2988716798","https://openalex.org/W3112376646","https://openalex.org/W3116011889","https://openalex.org/W4220980683","https://openalex.org/W4232353446","https://openalex.org/W4255594044","https://openalex.org/W4289274885"],"related_works":["https://openalex.org/W1260751268","https://openalex.org/W6980683376","https://openalex.org/W3217463890","https://openalex.org/W82104423","https://openalex.org/W7071258903","https://openalex.org/W7113131046","https://openalex.org/W7062568712","https://openalex.org/W2605628078","https://openalex.org/W7048715556","https://openalex.org/W2085199892"],"abstract_inverted_index":{"As":[0],"prote\u00ednas":[1,21,56],"reguladoras":[2,57],"s\u00e3o":[3,181,287],"macromol\u00e9culas":[4],"complexas":[5],"essenciais":[6],"para":[7,50,82,204,280],"o":[8,95,177,189,205,229,257],"funcionamento":[9],"biol\u00f3gico.":[10],"A":[11],"literatura":[12],"recente":[13],"tem":[14],"mostrado":[15],"grandes":[16],"lacunas":[17],"na":[18,117,163],"caracteriza\u00e7\u00e3o":[19,46],"de":[20,38,59,92,99,103,111,157,159,224,235,237,246,251,254,275,285],"reguladoras,":[22],"principalmente":[23],"relacionadas":[24,165],"com":[25,85,101,133,154,184,188,233],"a":[26,52,71,173,244],"falta":[27],"do":[28,125,266],"i\u00e3o":[29,88],"zinco":[30,89],"nas":[31],"estruturas":[32],"dos":[33],"cristais":[34],"e":[35,73,119,131,146,169,194,208,240],"\u00e0":[36],"aus\u00eancia":[37],"informa\u00e7\u00f5es":[39],"sobre":[40,262],"seu":[41],"papel.":[42],"Assim,":[43],"uma":[44,61,260],"melhor":[45,231],"molecular":[47],"\u00e9":[48,228,259],"essencial":[49],"aumentar":[51],"nossa":[53],"compreens\u00e3o":[54],"das":[55,121],"dependentes":[58],"metais,":[60],"vez":[62,250],"que":[63,258],"estas":[64],"t\u00eam":[65],"grande":[66],"valor":[67],"em":[68,90,106,202,209,211,222,249,289],"\u00e1reas":[69],"como":[70,152,172],"biomedicina":[72],"biotecnologia.":[74],"Por":[75],"este":[76],"motivo,":[77],"implementamos":[78],"abordagens":[79],"in":[80],"silico":[81],"prever":[83],"res\u00edduos":[84,167,253],"liga\u00e7\u00e3o":[86,255],"ao":[87],"fatores":[91,102],"transcri\u00e7\u00e3o.Primeiro,":[93],"constru\u00edmos":[94],"nosso":[96,230],"pr\u00f3prio":[97],"conjunto":[98,110,156],"dados":[100,158],"transcri\u00e7\u00e3o":[104],"e,":[105],"seguida,":[107],"extra\u00edmos":[108],"um":[109,155],"caracter\u00edsticas":[112,115,161,183],"heterog\u00e9neas":[113],"contendo":[114],"baseadas":[116,162],"sequ\u00eancia":[118,164,245],"estrutura":[120,174],"prote\u00ednas.":[122],"Tr\u00eas":[123],"modelos":[124,192,264],"estado":[126,267],"da":[127,268],"arte":[128],"foram":[129],"implementados":[130,265],"otimizados":[132],"nossos":[134,273],"dados,":[135],"Convolutional":[136],"Neural":[137,143],"Networks":[138,144],"(CNN),":[139],"Long-Short":[140],"Term":[141],"Memory":[142],"(LSTM)":[145],"Gated":[147],"Recurrent":[148],"Units":[149],"(GRU),":[150],"bem":[151,171],"validados":[153],"benchmark.As":[160],"aos":[166],"ciste\u00edna":[168],"histidina,":[170],"secund\u00e1ria":[175],"onde":[176],"res\u00edduo":[178],"est\u00e1":[179],"localizado":[180],"as":[182,278,283],"maior":[185],"correla\u00e7\u00e3o":[186],"linear":[187],"alvo.":[190],"Os":[191],"LSTM":[193],"GRU":[195,227],"sofrem":[196],"overfitting":[197],"obtendo":[198],"os":[199,218,263,272],"mesmos":[200],"valores":[201,220,234],"F1-Measure":[203,210,221,236],"treino":[206,276],"65%":[207],"teste":[212,223],"43%.":[213],"O":[214],"modelo":[215,232],"CNN":[216],"reporta":[217],"menores":[219],"41%.":[225],"Portanto,":[226],"65,165%-treino,":[238],"52,926%-valida\u00e7\u00e3o":[239],"42,898%-teste.Neste":[241],"projeto":[242],"usamos":[243],"amino\u00e1cidos":[247,286],"completa":[248],"apenas":[252],"espec\u00edficos,":[256],"vantagem":[261],"arte.":[269],"Al\u00e9m":[270],"disso,":[271],"resultados":[274],"abrem":[277],"portas":[279],"melhorias":[281],"quando":[282],"sequ\u00eancias":[284],"usadas":[288],"tarefas":[290],"semelhantes.":[291]},"counts_by_year":[],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2025-10-10T00:00:00"}
