{"id":"https://openalex.org/W2527759989","doi":"https://doi.org/10.1093/database/baw133","title":"ASAP: a machine learning framework for local protein properties","display_name":"ASAP: a machine learning framework for local protein properties","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W2527759989","doi":"https://doi.org/10.1093/database/baw133","mag":"2527759989","pmid":"https://pubmed.ncbi.nlm.nih.gov/27694209"},"language":"en","primary_location":{"id":"doi:10.1093/database/baw133","is_oa":true,"landing_page_url":"https://doi.org/10.1093/database/baw133","pdf_url":"https://academic.oup.com/database/article-pdf/doi/10.1093/database/baw133/17474546/baw133.pdf","source":{"id":"https://openalex.org/S4210201630","display_name":"Database","issn_l":"1758-0463","issn":["1758-0463"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311647","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/P4310311647"],"host_organization_lineage_names":["University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Database","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/database/article-pdf/doi/10.1093/database/baw133/17474546/baw133.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058480616","display_name":"Nadav Brandes","orcid":"https://orcid.org/0000-0002-0510-2546"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Nadav Brandes","raw_affiliation_strings":["Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045008246","display_name":"Dan Ofer","orcid":"https://orcid.org/0000-0001-5136-8014"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Dan Ofer","raw_affiliation_strings":["Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel","institution_ids":["https://openalex.org/I197251160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085924022","display_name":"Michal Linial","orcid":"https://orcid.org/0000-0002-9357-4526"},"institutions":[{"id":"https://openalex.org/I197251160","display_name":"Hebrew University of Jerusalem","ror":"https://ror.org/03qxff017","country_code":"IL","type":"education","lineage":["https://openalex.org/I197251160"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Michal Linial","raw_affiliation_strings":["Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel michall@cc.huji.ac.il michall@ias.huji.ac.il","Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel"],"affiliations":[{"raw_affiliation_string":"Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel michall@cc.huji.ac.il michall@ias.huji.ac.il","institution_ids":[]},{"raw_affiliation_string":"Department of Biological Chemistry, The Alexander Silberman Institute of Life Sciences, The Hebrew University, Jerusalem 91904, Israel","institution_ids":["https://openalex.org/I197251160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058480616"],"corresponding_institution_ids":["https://openalex.org/I197251160"],"apc_list":{"value":1415,"currency":"GBP","value_usd":1735},"apc_paid":{"value":1415,"currency":"GBP","value_usd":1735},"fwci":1.5665,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.83862372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2016","issue":null,"first_page":"baw133","last_page":"baw133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9975000023841858,"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/T10519","display_name":"Advanced Proteomics Techniques and Applications","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/1607","display_name":"Spectroscopy"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6957080364227295},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.588284969329834},{"id":"https://openalex.org/keywords/protein-sequencing","display_name":"Protein sequencing","score":0.5223063826560974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.516535222530365},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4602254033088684},{"id":"https://openalex.org/keywords/proteome","display_name":"Proteome","score":0.4554556906223297},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4423624277114868},{"id":"https://openalex.org/keywords/protein-methods","display_name":"Protein methods","score":0.4276614189147949},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4002421796321869},{"id":"https://openalex.org/keywords/peptide-sequence","display_name":"Peptide sequence","score":0.34081292152404785},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3127380609512329},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.2364005446434021},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19297340512275696},{"id":"https://openalex.org/keywords/biochemistry","display_name":"Biochemistry","score":0.13764211535453796},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.13332027196884155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6957080364227295},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.588284969329834},{"id":"https://openalex.org/C10010492","wikidata":"https://www.wikidata.org/wiki/Q3142557","display_name":"Protein sequencing","level":4,"score":0.5223063826560974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.516535222530365},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4602254033088684},{"id":"https://openalex.org/C104397665","wikidata":"https://www.wikidata.org/wiki/Q860947","display_name":"Proteome","level":2,"score":0.4554556906223297},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4423624277114868},{"id":"https://openalex.org/C111364199","wikidata":"https://www.wikidata.org/wiki/Q2915896","display_name":"Protein methods","level":4,"score":0.4276614189147949},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4002421796321869},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.34081292152404785},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3127380609512329},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.2364005446434021},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19297340512275696},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.13764211535453796},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.13332027196884155},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D010455","descriptor_name":"Peptides","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020407","descriptor_name":"Internet","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020539","descriptor_name":"Sequence Analysis, Protein","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058977","descriptor_name":"Molecular Sequence Annotation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058977","descriptor_name":"Molecular Sequence Annotation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058977","descriptor_name":"Molecular Sequence Annotation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D058977","descriptor_name":"Molecular Sequence Annotation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1093/database/baw133","is_oa":true,"landing_page_url":"https://doi.org/10.1093/database/baw133","pdf_url":"https://academic.oup.com/database/article-pdf/doi/10.1093/database/baw133/17474546/baw133.pdf","source":{"id":"https://openalex.org/S4210201630","display_name":"Database","issn_l":"1758-0463","issn":["1758-0463"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311647","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/P4310311647"],"host_organization_lineage_names":["University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Database","raw_type":"journal-article"},{"id":"pmid:27694209","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/27694209","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Database : the journal of biological databases and curation","raw_type":null},{"id":"pmh:oai:open-archive.highwire.org:databa:2016/0/baw133","is_oa":false,"landing_page_url":"http://database.oxfordjournals.org/cgi/content/short/2016/0/baw133","pdf_url":null,"source":{"id":"https://openalex.org/S4406923041","display_name":"HighWire Press Open Archive","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"TEXT"},{"id":"pmh:oai:pubmedcentral.nih.gov:5045867","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5045867","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Database (Oxford)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/database/baw133","is_oa":true,"landing_page_url":"https://doi.org/10.1093/database/baw133","pdf_url":"https://academic.oup.com/database/article-pdf/doi/10.1093/database/baw133/17474546/baw133.pdf","source":{"id":"https://openalex.org/S4210201630","display_name":"Database","issn_l":"1758-0463","issn":["1758-0463"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311647","host_organization_name":"University of Oxford","host_organization_lineage":["https://openalex.org/P4310311647"],"host_organization_lineage_names":["University of Oxford"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Database","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2527759989.pdf","grobid_xml":"https://content.openalex.org/works/W2527759989.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W24553703","https://openalex.org/W184018770","https://openalex.org/W1964655247","https://openalex.org/W1964887411","https://openalex.org/W1967195968","https://openalex.org/W1975622992","https://openalex.org/W1983519005","https://openalex.org/W1984794455","https://openalex.org/W1989770230","https://openalex.org/W1995403864","https://openalex.org/W2015936607","https://openalex.org/W2033340247","https://openalex.org/W2042632472","https://openalex.org/W2058752584","https://openalex.org/W2059136964","https://openalex.org/W2066326281","https://openalex.org/W2080887292","https://openalex.org/W2085208668","https://openalex.org/W2086565769","https://openalex.org/W2094201044","https://openalex.org/W2094222285","https://openalex.org/W2096495474","https://openalex.org/W2097606916","https://openalex.org/W2099702012","https://openalex.org/W2101234009","https://openalex.org/W2106452753","https://openalex.org/W2117486996","https://openalex.org/W2119174113","https://openalex.org/W2119248032","https://openalex.org/W2120167569","https://openalex.org/W2124351063","https://openalex.org/W2126101541","https://openalex.org/W2131474431","https://openalex.org/W2131965976","https://openalex.org/W2135530477","https://openalex.org/W2135622703","https://openalex.org/W2137450588","https://openalex.org/W2138289501","https://openalex.org/W2140125568","https://openalex.org/W2145383760","https://openalex.org/W2147526198","https://openalex.org/W2147533449","https://openalex.org/W2151857756","https://openalex.org/W2155853203","https://openalex.org/W2157237745","https://openalex.org/W2160717157","https://openalex.org/W2162392441","https://openalex.org/W2162980545","https://openalex.org/W2164461702","https://openalex.org/W2166720212","https://openalex.org/W2227395312","https://openalex.org/W2252523470","https://openalex.org/W2294006973","https://openalex.org/W2338569611","https://openalex.org/W2472351724","https://openalex.org/W2911964244","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2118290743","https://openalex.org/W2008510935","https://openalex.org/W1617298830","https://openalex.org/W2011602722","https://openalex.org/W2027345511","https://openalex.org/W2949261522","https://openalex.org/W2135470984","https://openalex.org/W2574994322","https://openalex.org/W1501531009","https://openalex.org/W1015498685"],"abstract_inverted_index":{"Determining":[0],"residue-level":[1,63,212],"protein":[2,15,134,190,213],"properties,":[3],"such":[4,79],"as":[5,80,207,220],"sites":[6,31,115],"of":[7,76,108,151,172,199],"post-translational":[8],"modifications":[9],"(PTMs),":[10],"is":[11,143,187,217],"vital":[12],"to":[13,29,94,132,189],"understanding":[14],"function.":[16],"Experimental":[17],"methods":[18,27,38,159],"are":[19,39,91,228,244],"costly":[20],"and":[21,46,72,196,226,237,242],"time-consuming,":[22],"while":[23],"traditional":[24],"rule-based":[25,158],"computational":[26],"fail":[28],"annotate":[30],"lacking":[32],"substantial":[33],"similarity.":[34,156],"Machine":[35],"Learning":[36],"(ML)":[37],"becoming":[40],"fundamental":[41],"in":[42],"annotating":[43],"unknown":[44],"proteins":[45,152],"their":[47],"heterogeneous":[48],"properties.":[49,64],"We":[50,120],"present":[51,121],"ASAP":[52,65,98,205,225],"(Amino-acid":[53],"Sequence":[54],"Annotation":[55],"Prediction),":[56],"a":[57,106,122,144,148,182,208,221,231],"universal":[58],"ML":[59,96],"framework":[60],"for":[61,105,126,177,211],"predicting":[62],"extracts":[66],"numerous":[67],"features":[68,78],"from":[69,161,203],"raw":[70],"sequences,":[71],"supports":[73],"easy":[74],"integration":[75],"external":[77],"secondary":[81],"structure,":[82],"solvent":[83],"accessibility,":[84],"intrinsically":[85],"disorder":[86],"or":[87],"PSSM":[88],"profiles.":[89],"Features":[90],"then":[92],"used":[93],"train":[95],"classifiers.":[97],"can":[99],"create":[100],"new":[101,179,200],"classifiers":[102],"within":[103],"minutes":[104],"variety":[107,150],"tasks,":[109],"including":[110],"PTM":[111,145],"prediction":[112],"(e.g.":[113],"cleavage":[114,136,142],"by":[116,147],"convertase,":[117],"phosphoserine":[118],"modification).":[119],"detailed":[123],"case":[124],"study":[125],"ASAP:":[127],"CleavePred,":[128],"an":[129],"ASAP-based":[130],"model":[131],"predict":[133],"precursor":[135],"sites,":[137],"with":[138,230],"state-of-the-art":[139],"results.":[140],"Protein":[141],"shared":[146],"wide":[149],"sharing":[153],"minimal":[154],"sequence":[155,214],"Current":[157],"suffer":[160],"high":[162,170],"false":[163],"positive":[164],"rates,":[165],"making":[166],"them":[167],"suboptimal.":[168],"The":[169,185],"performance":[171],"CleavePred":[173,216,227,238],"makes":[174],"it":[175],"suitable":[176],"analyzing":[178],"proteomes":[180],"at":[181],"genomic":[183],"scale.":[184],"tool":[186],"attractive":[188],"design,":[191],"mass":[192],"spectrometry":[193],"search":[194],"engines":[195],"the":[197],"discovery":[198],"bioactive":[201],"peptides":[202],"precursors.":[204],"functions":[206],"baseline":[209],"approach":[210],"prediction.":[215],"freely":[218],"accessible":[219],"web-based":[222],"application.":[223],"Both":[224],"open-source":[229],"flexible":[232],"Python":[233],"API.Database":[234],"URL:":[235],"ASAP's":[236],"source":[239],"code,":[240],"webtool":[241],"tutorials":[243],"available":[245],"at:":[246],"https://github.com/ddofer/asap;":[247],"http://protonet.cs.huji.ac.il/cleavepred.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}