Abbott M, Ustoyev Y (2019) Cancer and the Immune System: The History and Background of Immunotherapy. Semin Oncol Nurs 35:150923. https://doi.org/10.1016/j.soncn.2019.08.002

Article  PubMed  Google Scholar 

Adam G, Rampasek L, Safikhani Z et al (2020) Machine learning approaches to drug response prediction: challenges and recent progress. NPJ Precis Oncol 4:19. https://doi.org/10.1038/s41698-020-0122-1

Article  PubMed  PubMed Central  Google Scholar 

Aguero F, Al-Lazikani B, Aslett M et al (2008) Genomic-scale prioritization of drug targets: the TDR Targets database. Nat Rev Drug Discov 7:900–907. https://doi.org/10.1038/nrd2684

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ahmadi Moughari F, Eslahchi C (2020) ADRML: anticancer drug response prediction using manifold learning. Sci Rep 10:14245. https://doi.org/10.1038/s41598-020-71257-7

Article  CAS  PubMed  PubMed Central  Google Scholar 

Aksoy BA, Dancik V, Smith K, et al. (2017) CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network. Database (Oxford) 2017. https://doi.org/10.1093/database/bax054

Amar D, Izraeli S, Shamir R (2017) Utilizing somatic mutation data from numerous studies for cancer research: proof of concept and applications. Oncogene 36:3375–3383. https://doi.org/10.1038/onc.2016.489

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ashok G, Ramaiah S (2022) A critical review of datasets and computational suites for improving cancer theranostics and biomarker discovery. Med Oncol 39:206. https://doi.org/10.1007/s12032-022-01815-8

Article  CAS  PubMed  Google Scholar 

Aslam B, Basit M, Nisar MA et al (2017) Proteomics: Technologies and Their Applications. J Chromatogr Sci 55:182–196. https://doi.org/10.1093/chromsci/bmw167

Article  CAS  PubMed  Google Scholar 

Bairoch A, Apweiler R, Wu CH et al (2005) The Universal Protein Resource (UniProt). Nucleic Acids Res 33:D154-159. https://doi.org/10.1093/nar/gki070

Article  CAS  PubMed  Google Scholar 

Bamford S, Dawson E, Forbes S et al (2004) The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website. Br J Cancer 91:355–358. https://doi.org/10.1038/sj.bjc.6601894

Article  CAS  PubMed  PubMed Central  Google Scholar 

Baptista D, Ferreira PG, Rocha M (2021) Deep learning for drug response prediction in cancer. Brief Bioinform 22:360–379. https://doi.org/10.1093/bib/bbz171

Article  CAS  PubMed  Google Scholar 

Barbarino JM, Whirl-Carrillo M, Altman RB et al (2018) PharmGKB: A worldwide resource for pharmacogenomic information. Wiley Interdiscip Rev Syst Biol Med 10:e1417. https://doi.org/10.1002/wsbm.1417

Article  PubMed  PubMed Central  Google Scholar 

Barras D, Widmann C (2011) Promises of apoptosis-inducing peptides in cancer therapeutics. Curr Pharm Biotechnol 12:1153–1165. https://doi.org/10.2174/138920111796117337

Article  CAS  PubMed  Google Scholar 

Barretina J, Caponigro G, Stransky N et al (2012) The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature 483:603–607. https://doi.org/10.1038/nature11003

Article  CAS  PubMed  PubMed Central  Google Scholar 

Barrett T, Wilhite SE, Ledoux P et al (2013) NCBI GEO: archive for functional genomics data sets–update. Nucleic Acids Res 41:D991-995. https://doi.org/10.1093/nar/gks1193

Article  CAS  PubMed  Google Scholar 

Basu A, Bodycombe NE, Cheah JH et al (2013) An interactive resource to identify cancer genetic and lineage dependencies targeted by small molecules. Cell 154:1151–1161. https://doi.org/10.1016/j.cell.2013.08.003

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bausch-Fluck D, Hofmann A, Bock T et al (2015) A mass spectrometric-derived cell surface protein atlas. PLoS ONE 10:e0121314. https://doi.org/10.1371/journal.pone.0121314

Article  CAS  PubMed  PubMed Central  Google Scholar 

Beger RD (2013) A review of applications of metabolomics in cancer. Metabolites 3:552–574. https://doi.org/10.3390/metabo3030552

Article  CAS  PubMed  PubMed Central  Google Scholar 

Berger AH, Brooks AN, Wu X et al (2016) High-throughput Phenotyping of Lung Cancer Somatic Mutations. Cancer Cell 30:214–228. https://doi.org/10.1016/j.ccell.2016.06.022

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bharatam PV (2021) Computer-Aided Drug Design. In: Poduri R (ed) Drug Discovery and Development. Springer Singapore Singapore, pp. 137–210

Bharatam PV, Khanna S, Francis SM (2008) Modeling and Informatics in Drug DesignPreclinical Development Handbook. pp. 1–45

Blekherman G, Laubenbacher R, Cortes DF et al (2011) Bioinformatics tools for cancer metabolomics. Metabolomics 7:329–343. https://doi.org/10.1007/s11306-010-0270-3

Article  CAS  PubMed  PubMed Central  Google Scholar 

Borgan E, Sitter B, Lingjaerde OC et al (2010) Merging transcriptomics and metabolomics–advances in breast cancer profiling. BMC Cancer 10:628. https://doi.org/10.1186/1471-2407-10-628

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bojorquez DCQ, Campos MRS (2023) Traditional and Novel Computer-Aided Drug Design (CADD) Approaches in the Anticancer Drug Discovery Process. Curr Cancer Drug Targets 23:333–345. https://doi.org/10.2174/1568009622666220705104249

Article  CAS  Google Scholar 

Brum AM, van de Peppel J, van der Leije CS et al (2015) Connectivity Map-based discovery of parbendazole reveals targetable human osteogenic pathway. Proc Natl Acad Sci USA 112:12711–12716. https://doi.org/10.1073/pnas.1501597112

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bruno AE, Li L, Kalabus JL et al (2012) miRdSNP: a database of disease-associated SNPs and microRNA target sites on 3’UTRs of human genes. BMC Genomics 13:44. https://doi.org/10.1186/1471-2164-13-44

Article  CAS  PubMed  PubMed Central  Google Scholar 

Bulusu KC, Tym JE, Coker EA et al (2014) canSAR: updated cancer research and drug discovery knowledgebase. Nucleic Acids Res 42:D1040-1047. https://doi.org/10.1093/nar/gkt1182

Article  CAS  PubMed  Google Scholar 

Burley SK (2000) An overview of structural genomics. Nat Struct Biol 7(Suppl):932–934. https://doi.org/10.1038/80697

Article  CAS  PubMed  Google Scholar 

can SAR.ai. https://cansar.ai/. Cited 7 July 2023

Carles F, Bourg S, Meyer C, et al. (2018) PKIDB: A Curated, Annotated and Updated Database of Protein Kinase Inhibitors in Clinical Trials. Molecules 23. https://doi.org/10.3390/molecules23040908

Casaletto J, Maglic D, Toure BB et al (2021) Abstract 1455: RLY-4008, a novel precision therapy for FGFR2-driven cancers designed to potently and selectively inhibit FGFR2 and FGFR2 resistance mutations. Can Res 81:1455–1455. https://doi.org/10.1158/1538-7445.Am2021-1455

Article  Google Scholar 

Caspi R, Billington R, Fulcher CA et al (2018) The MetaCyc database of metabolic pathways and enzymes. Nucleic Acids Res 46:D633–D639. https://doi.org/10.1093/nar/gkx935

Article