{"id":"https://openalex.org/W2778364768","doi":"https://doi.org/10.1007/978-3-319-71246-8_20","title":"ALADIN: A New Approach for Drug\u2013Target Interaction Prediction","display_name":"ALADIN: A New Approach for Drug\u2013Target Interaction Prediction","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2778364768","doi":"https://doi.org/10.1007/978-3-319-71246-8_20","mag":"2778364768"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-71246-8_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-71246-8_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"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/A5032448573","display_name":"Kriszti\u00e1n B\u00faza","orcid":"https://orcid.org/0000-0002-7111-6452"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Krisztian Buza","raw_affiliation_strings":["Knowledge Discovery and Machine Learning, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knowledge Discovery and Machine Learning, Rheinische Friedrich-Wilhelms-Universit\u00e4t Bonn, Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008815142","display_name":"Ladislav Pe\u0161ka","orcid":"https://orcid.org/0000-0001-8082-4509"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ladislav Peska","raw_affiliation_strings":["Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032448573"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":2.8511,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91992721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9962999820709229,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8199172019958496},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.5794719457626343},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5711934566497803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5644412636756897},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5481297969818115},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5297048091888428},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5208128690719604},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4917774498462677},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.4777366518974304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4557189643383026},{"id":"https://openalex.org/keywords/elastic-net-regularization","display_name":"Elastic net regularization","score":0.41224613785743713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36345404386520386},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20225787162780762},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18544495105743408},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.07203936576843262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8199172019958496},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.5794719457626343},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5711934566497803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5644412636756897},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5481297969818115},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5297048091888428},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5208128690719604},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4917774498462677},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.4777366518974304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4557189643383026},{"id":"https://openalex.org/C203868755","wikidata":"https://www.wikidata.org/wiki/Q5353562","display_name":"Elastic net regularization","level":3,"score":0.41224613785743713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36345404386520386},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20225787162780762},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18544495105743408},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.07203936576843262},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-71246-8_20","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-71246-8_20","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W75330637","https://openalex.org/W130213129","https://openalex.org/W159435487","https://openalex.org/W1500902855","https://openalex.org/W1970577443","https://openalex.org/W1971106435","https://openalex.org/W1979537657","https://openalex.org/W1984014392","https://openalex.org/W1984084871","https://openalex.org/W1988139567","https://openalex.org/W1995391182","https://openalex.org/W1998803278","https://openalex.org/W2004530097","https://openalex.org/W2018408116","https://openalex.org/W2029348196","https://openalex.org/W2062533676","https://openalex.org/W2066201825","https://openalex.org/W2069377314","https://openalex.org/W2086286404","https://openalex.org/W2091734240","https://openalex.org/W2093117046","https://openalex.org/W2106029302","https://openalex.org/W2109991441","https://openalex.org/W2121756870","https://openalex.org/W2124707659","https://openalex.org/W2126671570","https://openalex.org/W2128025294","https://openalex.org/W2135007932","https://openalex.org/W2139736926","https://openalex.org/W2153838454","https://openalex.org/W2155566653","https://openalex.org/W2157133710","https://openalex.org/W2158801725","https://openalex.org/W2161607603","https://openalex.org/W2162011385","https://openalex.org/W2165125496","https://openalex.org/W2252158617","https://openalex.org/W2276413773","https://openalex.org/W2285139619","https://openalex.org/W2341282804","https://openalex.org/W2509890090","https://openalex.org/W2522764954","https://openalex.org/W2533430062","https://openalex.org/W2585438647"],"related_works":["https://openalex.org/W4213314600","https://openalex.org/W3211319599","https://openalex.org/W2122825543","https://openalex.org/W4388594321","https://openalex.org/W4292248859","https://openalex.org/W2148172612","https://openalex.org/W4221147225","https://openalex.org/W2771997889","https://openalex.org/W2954774635","https://openalex.org/W2772410907"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
