{"id":"https://openalex.org/W2041153764","doi":"https://doi.org/10.1145/2811411.2811534","title":"Prediction of protein stability changes upon one-point mutations using machine learning","display_name":"Prediction of protein stability changes upon one-point mutations using machine learning","publication_year":2015,"publication_date":"2015-10-09","ids":{"openalex":"https://openalex.org/W2041153764","doi":"https://doi.org/10.1145/2811411.2811534","mag":"2041153764"},"language":"en","primary_location":{"id":"doi:10.1145/2811411.2811534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007325460","display_name":"Franti\u0161ek Malinka","orcid":"https://orcid.org/0000-0002-9681-4716"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Franti\u0161ek Malinka","raw_affiliation_strings":["Czech Technical University in Prague, Prague, Czech Republic"],"affiliations":[{"raw_affiliation_string":"Czech Technical University in Prague, Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007325460"],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.04576277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"102","last_page":"107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9970999956130981,"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":0.9970999956130981,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9869999885559082,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7743498086929321},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7250388860702515},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7062195539474487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6974664330482483},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4974060356616974},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.4217127561569214},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4135708212852478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14278626441955566}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7743498086929321},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7250388860702515},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7062195539474487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6974664330482483},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4974060356616974},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.4217127561569214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4135708212852478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14278626441955566},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2811411.2811534","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2811411.2811534","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 Conference on research in adaptive and convergent systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1570448133","https://openalex.org/W2031553026","https://openalex.org/W2049576685","https://openalex.org/W2083624153","https://openalex.org/W2093847279","https://openalex.org/W2099672241","https://openalex.org/W2103459989","https://openalex.org/W2112919985","https://openalex.org/W2113710405","https://openalex.org/W2119288062","https://openalex.org/W2120949690","https://openalex.org/W2130590409","https://openalex.org/W2132540199","https://openalex.org/W2133990480","https://openalex.org/W2134488721","https://openalex.org/W2149580316","https://openalex.org/W2155806188","https://openalex.org/W2167917621","https://openalex.org/W2168749685","https://openalex.org/W2171203296","https://openalex.org/W2966207845"],"related_works":["https://openalex.org/W4295769391","https://openalex.org/W2972220648","https://openalex.org/W2332667808","https://openalex.org/W1997921863","https://openalex.org/W3112960490","https://openalex.org/W93605524","https://openalex.org/W2021145421","https://openalex.org/W821271700","https://openalex.org/W2183009720","https://openalex.org/W4250894911"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3,23,38,65,152],"new":[4,24],"approach":[5],"to":[6,21,37,47,99],"the":[7,28,49,81,86,117,132,154,161,167,173,183,190],"detection":[8],"of":[9,30,41,56,58,68,73,121,141,205],"protein":[10,207],"stability":[11,208],"change":[12],"upon":[13],"amino":[14,123],"acid":[15,124],"mutations.":[16],"The":[17,53,110],"main":[18],"goal":[19],"is":[20,45,61,103,149,179],"create":[22],"meta-tool,":[25],"which":[26],"combines":[27],"outputs":[29,57],"eight":[31],"well-established":[32],"prediction":[33,51,83,112,209],"tools":[34,60],"and":[35,170,203],"due":[36],"suitable":[39],"method":[40],"consensus":[42,108],"making,":[43],"it":[44,102],"able":[46],"improve":[48],"overall":[50],"accuracy.":[52],"optimal":[54,107],"combination":[55],"these":[59],"found":[62],"by":[63,164],"using":[64],"various":[66],"number":[67],"machine":[69,76,196],"learning":[70,77,197],"methods.":[71],"Out":[72],"all":[74],"tested":[75],"methods,":[78],"KStar":[79,159],"showed":[80],"highest":[82],"accuracy":[84],"on":[85,116,158,166,172,189],"training":[87,139,168],"dataset":[88,119,169],"compiled":[89],"from":[90,95,128],"experimentally":[91],"validated":[92,115],"mutations":[93,125,134],"originating":[94],"ProTherm":[96,129],"database.":[97,130],"Due":[98],"this":[100],"reason,":[101],"chosen":[104],"as":[105],"an":[106],"maker.":[109],"general":[111],"abilities":[113],"are":[114],"testing":[118,174],"composed":[120],"multi-point":[122,133],"extracted":[126],"also":[127],"Since":[131],"were":[135],"not":[136],"used":[137],"for":[138],"any":[140],"integrated":[142,186],"tools,":[143],"we":[144,193],"suppose":[145],"that":[146,195],"such":[147],"comparison":[148,178],"objective.":[150],"As":[151],"result,":[153],"developed":[155],"meta-tool":[156],"based":[157],"improves":[160],"correlation":[162],"coefficient":[163],"0.130":[165],"0.239":[171],"dataset,":[175],"respectively":[176],"(the":[177],"being":[180],"made":[181],"against":[182],"most":[184],"successful":[185],"tool).":[187],"Based":[188],"obtained":[191],"results,":[192],"claim":[194],"methods":[198],"may":[199],"help":[200],"identify":[201],"strengths":[202],"weaknesses":[204],"contemporary":[206],"tools.":[210]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}