{"id":"https://openalex.org/W2043146319","doi":"https://doi.org/10.1007/s10994-006-8262-2","title":"Quantitative pharmacophore models with inductive logic programming","display_name":"Quantitative pharmacophore models with inductive logic programming","publication_year":2006,"publication_date":"2006-05-08","ids":{"openalex":"https://openalex.org/W2043146319","doi":"https://doi.org/10.1007/s10994-006-8262-2","mag":"2043146319"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-006-8262-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-006-8262-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8262-2.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8262-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103083219","display_name":"Ashwin Srinivasan","orcid":"https://orcid.org/0000-0002-4911-0038"},"institutions":[{"id":"https://openalex.org/I4210103279","display_name":"IBM Research - India","ror":"https://ror.org/014wt7r80","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210103279","https://openalex.org/I4210114115"]},{"id":"https://openalex.org/I64295750","display_name":"Indian Institute of Technology Indore","ror":"https://ror.org/01hhf7w52","country_code":"IN","type":"education","lineage":["https://openalex.org/I64295750"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ashwin Srinivasan","raw_affiliation_strings":["IBM India Research Lab, Block 1, Indian Institute of Technology, New Delhi","IBM India Research Lab, Block 1, Indian Institute of Technology, New Delhi,"],"affiliations":[{"raw_affiliation_string":"IBM India Research Lab, Block 1, Indian Institute of Technology, New Delhi","institution_ids":["https://openalex.org/I4210103279"]},{"raw_affiliation_string":"IBM India Research Lab, Block 1, Indian Institute of Technology, New Delhi,","institution_ids":["https://openalex.org/I64295750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068251706","display_name":"David Page","orcid":"https://orcid.org/0000-0003-0576-2912"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Page","raw_affiliation_strings":["Department of Biostatistics, University of Madison, Wisconsin","Department of Biostatistics, University of Madison, Wisconsin#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Madison, Wisconsin","institution_ids":["https://openalex.org/I135310074"]},{"raw_affiliation_string":"Department of Biostatistics, University of Madison, Wisconsin#TAB#","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054960351","display_name":"Rui Camacho","orcid":"https://orcid.org/0000-0003-0940-3554"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Camacho","raw_affiliation_strings":["LIACC-CIUP, R. Campo Alegre, 4150, Porto","LIACC-CIUP, Porto 4150#TAB#"],"affiliations":[{"raw_affiliation_string":"LIACC-CIUP, R. Campo Alegre, 4150, Porto","institution_ids":[]},{"raw_affiliation_string":"LIACC-CIUP, Porto 4150#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020822487","display_name":"Ross D. King","orcid":"https://orcid.org/0000-0001-7208-4387"},"institutions":[{"id":"https://openalex.org/I97429440","display_name":"University of Wales","ror":"https://ror.org/01se4f844","country_code":"GB","type":"education","lineage":["https://openalex.org/I97429440"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ross King","raw_affiliation_strings":["Department of Computer Science, University of Wales, Aberystwyth","Dept. of Computer Science, Univ. of Wales, Aberystwyth,"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Wales, Aberystwyth","institution_ids":["https://openalex.org/I97429440"]},{"raw_affiliation_string":"Dept. of Computer Science, Univ. of Wales, Aberystwyth,","institution_ids":["https://openalex.org/I97429440"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103083219"],"corresponding_institution_ids":["https://openalex.org/I4210103279","https://openalex.org/I64295750"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.0111,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.76494517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"64","issue":"1-3","first_page":"65","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9926000237464905,"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":0.9926000237464905,"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/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9366000294685364,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11178","display_name":"Receptor Mechanisms and Signaling","score":0.9296000003814697,"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/pharmacophore","display_name":"Pharmacophore","score":0.9117192029953003},{"id":"https://openalex.org/keywords/quantitative-structure\u2013activity-relationship","display_name":"Quantitative structure\u2013activity relationship","score":0.6655265092849731},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5083240866661072},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.49800658226013184},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4785098135471344},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4187549352645874},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41390323638916016},{"id":"https://openalex.org/keywords/ligand","display_name":"Ligand (biochemistry)","score":0.41089963912963867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34412527084350586},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.30172640085220337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3014315366744995},{"id":"https://openalex.org/keywords/stereochemistry","display_name":"Stereochemistry","score":0.2165878415107727},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.19264984130859375},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.10075825452804565}],"concepts":[{"id":"https://openalex.org/C56173144","wikidata":"https://www.wikidata.org/wiki/Q1539893","display_name":"Pharmacophore","level":2,"score":0.9117192029953003},{"id":"https://openalex.org/C164126121","wikidata":"https://www.wikidata.org/wiki/Q766383","display_name":"Quantitative structure\u2013activity relationship","level":2,"score":0.6655265092849731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5083240866661072},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.49800658226013184},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4785098135471344},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4187549352645874},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41390323638916016},{"id":"https://openalex.org/C116569031","wikidata":"https://www.wikidata.org/wiki/Q899107","display_name":"Ligand (biochemistry)","level":3,"score":0.41089963912963867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34412527084350586},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.30172640085220337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3014315366744995},{"id":"https://openalex.org/C71240020","wikidata":"https://www.wikidata.org/wiki/Q186011","display_name":"Stereochemistry","level":1,"score":0.2165878415107727},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.19264984130859375},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.10075825452804565},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1007/s10994-006-8262-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-006-8262-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8262-2.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/9eb0e5bc-301b-41b1-9a38-280bb71ced0d","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/9eb0e5bc-301b-41b1-9a38-280bb71ced0d","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Srinivasan, A, Page, D, Camacho, R & King, R 2006, 'Quantitative pharmacophore models with inductive logic programming', Machine Learning, vol. 64, no. 1-3, pp. 65-90. https://doi.org/10.1007/s10994-006-8262-2","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.840.6893","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.840.6893","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://repositorio-aberto.up.pt/bitstream/10216/75538/2/42474.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:publications/9eb0e5bc-301b-41b1-9a38-280bb71ced0d","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/quantitative-pharmacophore-models-with-inductive-logic-programming(9eb0e5bc-301b-41b1-9a38-280bb71ced0d).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Srinivasan, A, Page, D, Camacho, R & King, R 2006, 'Quantitative pharmacophore models with inductive logic programming', Machine Learning, vol. 64, no. 1-3, pp. 65-90. https://doi.org/10.1007/s10994-006-8262-2","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:repositorio-aberto.up.pt:10216/75538","is_oa":true,"landing_page_url":"https://hdl.handle.net/10216/75538","pdf_url":null,"source":{"id":"https://openalex.org/S4306401934","display_name":"Open Repository of the University of Porto (University of Porto)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I182534213","host_organization_name":"Universidade do Porto","host_organization_lineage":["https://openalex.org/I182534213"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":{"id":"doi:10.1007/s10994-006-8262-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-006-8262-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-006-8262-2.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2043146319.pdf","grobid_xml":"https://content.openalex.org/works/W2043146319.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W148995703","https://openalex.org/W160274533","https://openalex.org/W1480376833","https://openalex.org/W1501299699","https://openalex.org/W1528012351","https://openalex.org/W1534731256","https://openalex.org/W1538192045","https://openalex.org/W1550821944","https://openalex.org/W1571076699","https://openalex.org/W1576290412","https://openalex.org/W1581034630","https://openalex.org/W1582613186","https://openalex.org/W1619260253","https://openalex.org/W1669437150","https://openalex.org/W1723714545","https://openalex.org/W1887271123","https://openalex.org/W1912123407","https://openalex.org/W2023301330","https://openalex.org/W2045793840","https://openalex.org/W2064357483","https://openalex.org/W2069888879","https://openalex.org/W2075663721","https://openalex.org/W2077662675","https://openalex.org/W2078843353","https://openalex.org/W2090761873","https://openalex.org/W2096942889","https://openalex.org/W2110119381","https://openalex.org/W2118697091","https://openalex.org/W2119493804","https://openalex.org/W2121906195","https://openalex.org/W2126185296","https://openalex.org/W2155800811","https://openalex.org/W2163476003","https://openalex.org/W2177977456","https://openalex.org/W2736564471","https://openalex.org/W2952901684","https://openalex.org/W4254036981","https://openalex.org/W4285719527","https://openalex.org/W6606098455","https://openalex.org/W6633127331","https://openalex.org/W6634283360","https://openalex.org/W6634846224","https://openalex.org/W6637634800","https://openalex.org/W6667811623","https://openalex.org/W6677574362","https://openalex.org/W6738852829"],"related_works":["https://openalex.org/W3184587995","https://openalex.org/W2943414817","https://openalex.org/W1605005150","https://openalex.org/W2059558045","https://openalex.org/W2314430254","https://openalex.org/W2333220762","https://openalex.org/W2225633491","https://openalex.org/W2021051369","https://openalex.org/W2002578321","https://openalex.org/W2001552790"],"abstract_inverted_index":null,"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2025-10-10T00:00:00"}