{"doi":"10.1093/nar/gky1129","title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","abstract":null,"journal":"Nucleic Acids Research","year":2019,"id":595224,"datarank":0.7230422348407557,"base_score":4.820281565605037,"endowment":4.820281565605037,"self_citation_contribution":0.7230422348407557,"citation_network_contribution":0.0,"self_endowment_contribution":0.7230422348407557,"citer_contribution":0.0,"corpus_percentile":72.1,"corpus_rank":3630,"citation_count":123,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":12428,"name":"Costas Mitsopoulos","orcid":"0000-0002-9116-5921","position":1,"is_corresponding":false},{"id":1524104,"name":"Joesph E Tym","orcid":null,"position":2,"is_corresponding":false},{"id":1524105,"name":"Angeliki Komianou","orcid":null,"position":3,"is_corresponding":false},{"id":1524106,"name":"Christos Kannas","orcid":null,"position":4,"is_corresponding":false},{"id":1524107,"name":"Patrizio Di Micco","orcid":null,"position":5,"is_corresponding":false},{"id":1524108,"name":"Eloy Villasclaras Fernandez","orcid":null,"position":6,"is_corresponding":false},{"id":1524109,"name":"Bugra Ozer","orcid":null,"position":7,"is_corresponding":false},{"id":12569,"name":"Albert A. Antolín","orcid":"0000-0002-1634-9034","position":8,"is_corresponding":false},{"id":30269,"name":"Paul Workman","orcid":"0000-0003-1659-3034","position":9,"is_corresponding":false},{"id":1524110,"name":"Bissan Al-Lazikani","orcid":null,"position":10,"is_corresponding":false},{"id":12583,"name":"Elizabeth A. Coker","orcid":"0000-0003-4934-8887","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"canSAR: update to the cancer translational research and drug discovery knowledgebase","abstract":"canSAR (http://cansar.icr.ac.uk) is a public, freely available, integrative translational research and drug discovery knowlegebase. canSAR informs researchers to help solve key bottlenecks in cancer translation and drug discovery. It integrates genomic, protein, pharmacological, drug and chemical data with structural biology, protein networks and unique, comprehensive and orthogonal 'druggability' assessments. canSAR is widely used internationally by academia and industry. Here we describe major enhancements to canSAR including new and expanded data. We also describe the first components of canSARblack-an advanced, responsive, multi-device compatible redesign of canSAR with a question-led interface.","is_dataset_classified":null,"base_score":4.820281565605037,"endowment":4.820281565605037,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"30496479","pmcid":"PMC6323893","openalex_id":"https://openalex.org/W2903181389","authors":[],"funders":[{"funder_name":"Cancer Research UK","grant_id":"C35696/A23187","title":null},{"funder_name":"ICR’s CRUK Cancer Therapeutic Unit","grant_id":"C309/A25144","title":null},{"funder_name":"Henry Wellcome Research","grant_id":"204735/Z/16/Z","title":null},{"funder_name":"Cancer Research UK","grant_id":"23187","title":null},{"funder_name":"Cancer Research UK","grant_id":"C35696/A2318","title":null}],"total_grants":5,"fwci":5.7992,"citation_percentile":0.97813579,"influential_citations":0,"citation_trend":[{"year":2019,"count":4},{"year":2020,"count":16},{"year":2021,"count":25},{"year":2022,"count":28},{"year":2023,"count":26},{"year":2024,"count":15},{"year":2025,"count":7},{"year":2026,"count":2}],"oa_status":"gold","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.1093/nar/gky1129","host_type":"journal"},{"url":"https://doi.org/10.1093/nar/gky1129","host_type":"publisher"},{"url":"http://academic.oup.com/nar/article-pdf/47/D1/D917/27437617/gky1129.pdf","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/30496479","host_type":"repository"},{"url":"https://pubmed.ncbi.nlm.nih.gov/33219674","host_type":"repository"},{"url":"http://europepmc.org/pmc/articles/PMC6323893","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6323893","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7778970","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC6323893","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC6323893?pdf=render","host_type":"Europe_PMC"}],"fields_of_study":["Advanced Proteomics Techniques and Applications","RNA and protein synthesis mechanisms","Computational Drug Discovery Methods"],"mesh_terms":["Antineoplastic Agents","Humans","Neoplasms","Protein Conformation","User-Computer Interface","Protein Interaction Mapping","Knowledge Bases","Drug Discovery","Translational Research, Biomedical","Databases, Pharmaceutical"],"keywords":["Druggability","Drug discovery","Biology","Computational biology","Translational research","Key (lock)","Interface (matter)","Data science","Cancer drugs","Bioinformatics","Cancer","Genetics","Computer science","Biotechnology","Gene","Biochemistry"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Industry, innovation and infrastructure"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-27T16:54:36.054397Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}