{"id":"https://openalex.org/W4399802424","doi":"https://doi.org/10.1002/9781394234196.ch17","title":"Pushing Boundaries","display_name":"Pushing Boundaries","publication_year":2024,"publication_date":"2024-06-19","ids":{"openalex":"https://openalex.org/W4399802424","doi":"https://doi.org/10.1002/9781394234196.ch17"},"language":"en","primary_location":{"id":"doi:10.1002/9781394234196.ch17","doi":"https://doi.org/10.1002/9781394234196.ch17","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781394234196.ch17","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence and Machine Learning in Drug Design and Development","raw_type":"other"},"volume":{"id":"https://openalex.org/W4399802893","display_name":"Artificial Intelligence and Machine Learning in Drug Design and Development"},"type":"book-chapter","is_traditional":true,"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/A5033557176","display_name":"Dipak Dilip Gadade","orcid":"https://orcid.org/0000-0003-3837-2486","observed_orcids":["https://orcid.org/0000-0003-3837-2486"]},"institutions":[{"id":"https://openalex.org/I4401726839","display_name":"Delhi Skill and Entrepreneurship University","ror":"https://ror.org/0488bwq42","country_code":"IN","type":"education","lineage":["https://openalex.org/I4401726839"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dipak D. Gadade","raw_affiliation_strings":["Department of Pharmacy, DSEU Dwarka Campus, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacy, DSEU Dwarka Campus, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, New Delhi, India","institution_ids":["https://openalex.org/I4401726839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103084173","display_name":"Deepak A. Kulkarni","orcid":"https://orcid.org/0000-0001-5992-5903","observed_orcids":["https://orcid.org/0000-0001-5992-5903"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Deepak A. Kulkarni","raw_affiliation_strings":["Department of Pharmaceutics, Srinath College of Pharmacy, Bajajnagar, Aurangabad (M.S.), India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmaceutics, Srinath College of Pharmacy, Bajajnagar, Aurangabad (M.S.), India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099244512","display_name":"Ravi Raj","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4401726839","display_name":"Delhi Skill and Entrepreneurship University","ror":"https://ror.org/0488bwq42","country_code":"IN","type":"education","lineage":["https://openalex.org/I4401726839"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ravi Raj","raw_affiliation_strings":["Department of Pharmacy, DSEU Dwarka Campus, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacy, DSEU Dwarka Campus, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, New Delhi, India","institution_ids":["https://openalex.org/I4401726839"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102691175","display_name":"Swapnil G. Patil","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Swapnil G. Patil","raw_affiliation_strings":["Drugs Control Department, Government of NCT of Delhi, Karkardooma, Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drugs Control Department, Government of NCT of Delhi, Karkardooma, Delhi, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055418742","display_name":"Anuj Modi","orcid":"https://orcid.org/0000-0002-8664-889X","observed_orcids":["https://orcid.org/0000-0002-8664-889X"]},"institutions":[{"id":"https://openalex.org/I4401726839","display_name":"Delhi Skill and Entrepreneurship University","ror":"https://ror.org/0488bwq42","country_code":"IN","type":"education","lineage":["https://openalex.org/I4401726839"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Anuj Modi","raw_affiliation_strings":["Department of Pharmacy, DSEU Dwarka Campus, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, New Delhi, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacy, DSEU Dwarka Campus, Delhi Skill and Entrepreneurship University, Government of NCT of Delhi, New Delhi, India","institution_ids":["https://openalex.org/I4401726839"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5695,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89757412,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"533","last_page":"561"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/3002","display_name":"Drug Discovery"},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.03680000081658363,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13904","display_name":"Artificial Intelligence Applications","score":0.0026000000070780516,"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/artificial-intelligence","display_name":"artificial intelligence","score":0.8399999737739563},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"drug discovery","score":0.9549999833106995},{"id":"https://openalex.org/keywords/drug-development","display_name":"drug development","score":0.9480000138282776},{"id":"https://openalex.org/keywords/preclinical-research","display_name":"preclinical research","score":0.5260000228881836},{"id":"https://openalex.org/keywords/clinical-trials","display_name":"clinical trials","score":0.8849999904632568},{"id":"https://openalex.org/keywords/target-identification","display_name":"target identification","score":0.9750000238418579},{"id":"https://openalex.org/keywords/hit-identification","display_name":"hit identification","score":0.9629999995231628},{"id":"https://openalex.org/keywords/lead-optimization","display_name":"lead optimization","score":0.996999979019165},{"id":"https://openalex.org/keywords/clinical-decision-making","display_name":"clinical decision-making","score":0.968999981880188},{"id":"https://openalex.org/keywords/ai-ethics","display_name":"AI ethics","score":0.8799999952316284},{"id":"https://openalex.org/keywords/intellectual-property","display_name":"intellectual property","score":0.9409999847412109},{"id":"https://openalex.org/keywords/regulatory-affairs","display_name":"regulatory affairs","score":0.8920000195503235},{"id":"https://openalex.org/keywords/pharmaceutical-industry","display_name":"pharmaceutical industry","score":0.9520000219345093}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.35342276096343994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/9781394234196.ch17","doi":"https://doi.org/10.1002/9781394234196.ch17","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781394234196.ch17","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence and Machine Learning in Drug Design and Development","raw_type":"other"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8560000061988831,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W2765811634","https://openalex.org/W2767711842","https://openalex.org/W2796452343","https://openalex.org/W2806834952","https://openalex.org/W2901411193","https://openalex.org/W2910707576","https://openalex.org/W2937307539","https://openalex.org/W2953532875","https://openalex.org/W2959065917","https://openalex.org/W2959938226","https://openalex.org/W2981731882","https://openalex.org/W2983879675","https://openalex.org/W3000043291","https://openalex.org/W3004493409","https://openalex.org/W3005979468","https://openalex.org/W3011403448","https://openalex.org/W3012140936","https://openalex.org/W3022395336","https://openalex.org/W3023687723","https://openalex.org/W3035286874","https://openalex.org/W3044255548","https://openalex.org/W3045439214","https://openalex.org/W3046340597","https://openalex.org/W3046584351","https://openalex.org/W3087370997","https://openalex.org/W3093990381","https://openalex.org/W3094492244","https://openalex.org/W3096750812","https://openalex.org/W3110621854","https://openalex.org/W3113960897","https://openalex.org/W3129744432","https://openalex.org/W3136972681","https://openalex.org/W3158454357","https://openalex.org/W3159562783","https://openalex.org/W3189831819","https://openalex.org/W3193697854","https://openalex.org/W3194368700","https://openalex.org/W3196163618","https://openalex.org/W3205663647","https://openalex.org/W3208957091","https://openalex.org/W3210293336","https://openalex.org/W3210846470","https://openalex.org/W3214371729","https://openalex.org/W3217042593","https://openalex.org/W4210377205","https://openalex.org/W4211238337","https://openalex.org/W4212899726","https://openalex.org/W4220672374","https://openalex.org/W4221106857","https://openalex.org/W4224279656","https://openalex.org/W4225814409","https://openalex.org/W4234814856","https://openalex.org/W4280551616","https://openalex.org/W4282038114","https://openalex.org/W4282915387","https://openalex.org/W4282960293","https://openalex.org/W4283650099","https://openalex.org/W4285821587","https://openalex.org/W4293114576","https://openalex.org/W4311674793","https://openalex.org/W4315482698","https://openalex.org/W4319778731","https://openalex.org/W4321202094","https://openalex.org/W4323527202","https://openalex.org/W4381252028","https://openalex.org/W4391221083"],"related_works":["https://openalex.org/W4411712588","https://openalex.org/W4406915359","https://openalex.org/W4408069106","https://openalex.org/W7164808932","https://openalex.org/W7117976667","https://openalex.org/W7126453729","https://openalex.org/W4417092313","https://openalex.org/W7087040996","https://openalex.org/W4412419578","https://openalex.org/W4407041498"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3,93],"revolutionizing":[4],"the":[5,25,31,34,96,106,112,120,141,149],"field":[6],"of":[7,15,27,33,98,123,151],"pharmaceutical":[8,142],"and":[9,19,47,56,70,76,88,101,114],"healthcare":[10],"sector.":[11],"The":[12,59,90],"current":[13],"understanding":[14],"drug":[16,74,85,99],"development":[17],"(DVPT)":[18],"discovery":[20,86,100],"can":[21,40],"be":[22,41],"expanded":[23],"with":[24,137],"aid":[26],"AI":[28,39,62,80,109],"to":[29,94,110],"benefit":[30],"health":[32,117],"society.":[35],"Current":[36],"opportunities,":[37],"where":[38],"helpful":[42],"include":[43],"support":[44],"in":[45,73,84,125,128,133],"preclinical":[46],"clinical":[48,57,78],"studies,":[49],"target":[50],"identification,":[51,53],"hit":[52],"lead":[54],"optimization,":[55],"decision-making.":[58],"challenges":[60],"that":[61,140],"should":[63],"overcome":[64],"includes":[65],"ethical":[66],"aspects,":[67],"intellectual":[68],"issues,":[69],"regulatory":[71,129],"aspects":[72],"DVPT":[75,102],"its":[77],"establishment.":[79],"has":[81],"various":[82],"applications":[83],"(DDS)":[87],"DVPT.":[89],"overall":[91],"goal":[92],"accentuate":[95],"importance":[97],"as":[103,105,146],"well":[104],"potential":[107],"for":[108],"streamline":[111],"procedures":[113],"enhance":[115],"better":[116],"outcomes.":[118],"Furthermore,":[119],"recent":[121],"updates":[122],"DVPTs":[124],"AI-related":[126],"issues":[127],"affairs":[130],"are":[131],"highlighted":[132],"this":[134],"chapter":[135],"along":[136],"key":[138],"moves":[139],"industry":[143],"shall":[144],"follow":[145],"it":[147],"catches":[148],"benefits":[150],"AI-based":[152],"applications.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-06-20T00:00:00"}
