{"id":"https://openalex.org/W2067180092","doi":"https://doi.org/10.1109/gensips.2009.5174374","title":"A new approach for identification of hot spots in proteins using S-Transform filtering","display_name":"A new approach for identification of hot spots in proteins using S-Transform filtering","publication_year":2009,"publication_date":"2009-05-01","ids":{"openalex":"https://openalex.org/W2067180092","doi":"https://doi.org/10.1109/gensips.2009.5174374","mag":"2067180092"},"language":"en","primary_location":{"id":"doi:10.1109/gensips.2009.5174374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2009.5174374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Workshop on Genomic Signal Processing and Statistics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5000427644","display_name":"Sitanshu Sekhar Sahu","orcid":"https://orcid.org/0000-0003-1236-2255"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sitanshu Sekhar Sahu","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India","[Department of Electronics & Communication Engg, National Institute of Technology, Rourkela, INDIA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"[Department of Electronics & Communication Engg, National Institute of Technology, Rourkela, INDIA]","institution_ids":["https://openalex.org/I16292982"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034931207","display_name":"Ganapati Panda","orcid":"https://orcid.org/0000-0002-3555-5685"},"institutions":[{"id":"https://openalex.org/I16292982","display_name":"National Institute of Technology Rourkela","ror":"https://ror.org/011gmn932","country_code":"IN","type":"education","lineage":["https://openalex.org/I16292982"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ganapati Panda","raw_affiliation_strings":["Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India","[Department of Electronics & Communication Engg, National Institute of Technology, Rourkela, INDIA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela, India","institution_ids":["https://openalex.org/I16292982"]},{"raw_affiliation_string":"[Department of Electronics & Communication Engg, National Institute of Technology, Rourkela, INDIA]","institution_ids":["https://openalex.org/I16292982"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16292982"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"68","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9993000030517578,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9993000030517578,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9962000250816345,"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":0.983299970626831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hot-spot","display_name":"Hot spot (computer programming)","score":0.6451939344406128},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6021906733512878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.589947521686554},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5303645133972168},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.46383413672447205},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4343802332878113},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4270268380641937},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4144824147224426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4082442820072174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39287060499191284},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3451283574104309},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14139366149902344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.11080813407897949},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09789684414863586}],"concepts":[{"id":"https://openalex.org/C199672914","wikidata":"https://www.wikidata.org/wiki/Q4241353","display_name":"Hot spot (computer programming)","level":2,"score":0.6451939344406128},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6021906733512878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.589947521686554},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5303645133972168},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.46383413672447205},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4343802332878113},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4270268380641937},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4144824147224426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4082442820072174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39287060499191284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3451283574104309},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14139366149902344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.11080813407897949},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09789684414863586},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gensips.2009.5174374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2009.5174374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Workshop on Genomic Signal Processing and Statistics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2084067528","https://openalex.org/W2113645392","https://openalex.org/W2132136181","https://openalex.org/W2149189967","https://openalex.org/W2153537851","https://openalex.org/W2156709824","https://openalex.org/W2157735020","https://openalex.org/W2162770137","https://openalex.org/W3139764304"],"related_works":["https://openalex.org/W4304092003","https://openalex.org/W2379142291","https://openalex.org/W2056851929","https://openalex.org/W2252731128","https://openalex.org/W2360245112","https://openalex.org/W2369166484","https://openalex.org/W2736580264","https://openalex.org/W1996708040","https://openalex.org/W2388980657","https://openalex.org/W2412895836"],"abstract_inverted_index":{"Prediction":[0],"of":[1,18,31,68,105,149],"protein":[2,20],"function":[3,17,47],"from":[4],"its":[5,136],"sequence":[6,27],"is":[7,48,86,93,109,121,133,139],"an":[8,74],"important":[9],"and":[10,92,117,138],"challenging":[11],"task":[12],"in":[13,53,71,99,111,115],"Bioinformatics.":[14],"The":[15,84,103],"biological":[16,46,145,168],"a":[19,44,50,63,87],"primarily":[21],"depends":[22],"on":[23,144],"the":[24,32,40,81,97,100,106,118,130,150,167],"amino":[25,33],"acid":[26],"within":[28],"it.":[29],"Identification":[30],"acids":[34],"(hot":[35],"spots)":[36],"that":[37,129],"leads":[38],"to":[39,135],"characteristic":[41],"frequency":[42],"signifying":[43],"particular":[45],"really":[49],"tedious":[51],"job":[52],"proteomic":[54],"signal":[55],"processing.":[56],"In":[57],"this":[58],"paper":[59],"we":[60],"have":[61],"proposed":[62,131],"new":[64,107,154,159],"technique":[65,108],"for":[66,96,147],"identification":[67,148],"hot":[69,113,151,160],"spots":[70,114,161],"proteins":[72,116],"using":[73],"efficient":[75],"time-frequency":[76,90,101],"filtering":[77,98],"approach":[78],"known":[79],"as":[80],"S-Transform":[82,85],"filtering.":[83],"powerful":[88],"linear":[89],"representation":[91],"especially":[94],"useful":[95],"domain.":[102],"potentiality":[104],"analysed":[110],"identifying":[112],"result":[119],"obtained":[120],"compared":[122],"with":[123,141],"other":[124],"existing":[125],"methods.":[126],"It":[127],"reveals":[128,157],"method":[132,155],"superior":[134],"counterparts":[137],"consistent":[140],"results":[142],"based":[143],"methodologies":[146],"spots.":[152],"This":[153],"also":[156],"some":[158],"which":[162],"needs":[163],"further":[164],"investigation":[165],"by":[166],"community.":[169]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}