Pharmacologically active compounds
| ADCdb | Shen L., Sun X., Chen Z., Guo Y., Shen Z., Song Y., Xin W., Ding H., Ma X., Xu W., Zhou W., Che J., Tan L., Chen L., Chen S., Dong X., Fang L., Zhu F., ADCdb: the database of antibody–drug conjugates. Nucleic Acids Research, 2024, 52, D1097–D1109. Abstract |
| ADReCS-Target | Huang L.-H., He Q.-S., Liu K., Cheng J., Zhong M.-D., Chen L.-S., Yao L.-X., Ji Z.-L., ADReCS-Target: target profiles for aiding drug safety research and application. Nucleic Acids Research, 2018, 46, D911–D917. Abstract |
| AICD | Wang K., Xiao J., Liu X., Jiang Z., Zhan Y., Yin T., He L., Zhang F., Xing S., Chen B., Li Y., Zhang F., Kuang Z., Du B., Gu J., AICD: an integrated anti-inflammatory compounds database for drug discovery. Scientific Reports, 2019, 9, Article No 7737. Abstract |
| AMDD | Danishuddin M., Kaushal L., Baig M. H., Khan A. U., AMDD: Antimicrobial Drug Database. Genomics, Proteomics & Bioinformatics, 2012, 10, 360–363. Abstract |
| AntiCancer Standard Agents | Providers: National Cancer Institute and National Institutes of Health |
| anti-HCoV | Monticolo F., Palomba E., Santis R., Assentato L., Triscino V., Langella M. C., Lanzotti V., Chiusano M. L., anti-HCoV: A web resource to collect natural compounds against human coronaviruses. Trends in Food Science & Technology, 2020, 106, 1-11. Abstract |
| Antimicrobial Combination Networks | Jorge P., Pérez-Pérez M., Pérez Rodríguez G., Fdez-Riverola F., Pereira M. O., Lourenço A., Construction of antimicrobial peptide-drug combination networks from scientific literature based on a semi-automated curation workflow. Database, 2016, Article No baw143. Abstract |
| Antimicrobial Compounds Database | Malloci G., Vargiu A. V., Serra G., Bosin A., Ruggerone P., Ceccarelli M., A database of force-field parameters, dynamics, and properties of antimicrobial compounds. Molecules, 2015, 20, 13997-14021. Abstract |
| AODB | Deng W., Chen Y., Sun X., Wang L., AODB: A comprehensive database for antioxidants including small molecules, peptides and proteins. Food Chemistry, 2023, 418, Article No 135992. Abstract |
| ASDCD | Chen X., Ren B., Chen M., Liu M.-X., Ren W., Wang Q.-X., Zhang L.-X., Yan G.-X., ASDCD: Antifungal Synergistic Drug Combination Database. PLoS ONE, 2014, 9, Article No e86499. Abstract |
| BATMAN-TCM | Kong X., Liu C., Zhang Z., Cheng M., Mei Z., Li X., Liu P., Diao L., Ma Y., Jiang P., Kong X., Nie S., Guo Y., Wang Z., Zhang X., Wang Y., Tang L., Guo S., Liu Z., Li D., BATMAN-TCM 2.0: an enhanced integrative database for known and predicted interactions between traditional Chinese medicine ingredients and target proteins. Nucleic Acids Research, 2024, 52, D1110–D1120. Abstract |
| BIDD website | Provider: National University of Singapore |
| BioM2MetDisease | Xu Y., Yang H., Wu T., Dong Q., Sun Z., Shang D., Li F., Xu Y., Su F., Liu S., Zhang Y., Li X., BioM2MetDisease: a manually curated database for associations between microRNAs, metabolites, small molecules and metabolic diseases. Database, 2017, Article No bax037. Abstract |
| BioPhytMol | Sharma A., Dutta P., Sharma M., Rajput N. K., Dodiya B., Georrge J. J., Kholia T., OSDD Consortium, Bhardwaj A., BioPhytMol: a drug discovery community resource on anti-mycobacterial phytomolecules and plant extracts. Journal of Cheminformatics, 2014, 6, Article No 46. Abstract |
| Canada Vigilance adverse reaction online database | Provider: Government of Canada |
| CancerDR | Kumar R., Chaudhary K., Gupta S., Singh H., Kumar S., Gautam A., Kapoor P., Raghava G. P. S., CancerDR: cancer drug resistance database. Scientific Reports, 2013, 3, Article No 1445. Abstract |
| CancerResource | Gohlke B.-O., Nickel J., Otto R., Dunkel M., Preissner R., CancerResource-updated database of cancer-relevant proteins, mutations and interacting drugs. Nucleic Acids Research, 2016, 44, D932–D937. Abstract |
| CandActCFTR | Provider: Universitätzmedizin Göttingen |
| canSAR | Tym J. E., Mitsopoulos C., Coker E. A., Razaz P., Schierz A. C., Antolin A. A., Al-Lazikani B., canSAR: an updated cancer research and drug discovery knowledgebase. Nucleic Acids Research, 2016, 44, D938–D943. Abstract |
| CARD | Jia B., Raphenya A. R., Alcock B., Waglechner N., Guo P., Tsang K. K., Lago B. A., Dave B. M., Pereira S., Sharma A. N., Doshi S., Courtot M., Lo R., Williams L., Frye J. G., Elsayegh T., Sardar D., Westman E. L., Pawlowski A. C., Johnson T. A., Brinkman F. S. L., Wright G. D., McArthur A. G., CARD 2017: expansion and model-centric curation of the comprehensive antibiotic resistance database. Nucleic Acids Research, 2017, 45, D566–D573. Abstract |
| CeDR Atlas | Wang Y.-Y., Kang H., Xu T., Hao L., Bao Y., Jia P., CeDR Atlas: a knowledgebase of cellular drug response. Nucleic Acids Research, 2022, 50, D1164–D1171. Abstract |
| CEMTDD | Huang J., Wang J., CEMTDD: Chinese Ethnic Minority Traditional Drug Database. Apoptosis, 2014, 19, 1419-1420. Abstract |
| CFam | Zhang C., Tao L., Qin C., Zhang P., Chen S., Zeng X., Xu F., Chen Z., Yang S. Y., Chen Y. Z., CFam: a chemical families database based on iterative selection of functional seeds and seed-directed compound clustering. Nucleic Acids Research, 2015, 43, D558–D565. Abstract |
| Chemical Checker | Duran-Frigola M., Pauls E., Guitart-Pla O., Bertoni M., Alcalde V., Amat D., Juan-Blanco T., Aloy P., Extending the small-molecule similarity principle to all levels of biology with the Chemical Checker. Nature Biotechnology, 2020, 38, 1087-1096. Abstract |
| ClinicalTrials | Provider: National Institutes of Health |
| ClusterMine360 | Conway K. R., Boddy C. N., ClusterMine360: A database of microbial PKS/NRPS biosynthesis. Nucleic Acids Research, 2013, 41, D402-D407. Abstract |
| CMAUP | Zeng X., Zhang P, Wang Y., Qin C., Chen S., He W., Tao L., Tan Y., Gao D., Wang B., Chen Z., Chen W., Jiang Y. Y., Chen Y. Z., CMAUP: a database of collective molecular activities of useful plants. Nucleic Acids Research, 2019, 47, D1118–D1127. Abstract |
| ConjuPepDB | Balogh B., Ivánczi M., Nizami B., Beke-Somfai T., Mándity I. M., ConjuPepDB: a database of peptide–drug conjugates. Nucleic Acids Research, 2021, 49, D1102–D1112. Abstract |
| COVID19db | Zhang W., Zhang Y., Min Z., Mo J., Ju Z., Guan W., Zeng B., Liu Y., Chen J., Zhang Q., Li H., Zeng C., Wei Y., Chan G.-C.-F., COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale. Nucleic Acids Research, 2022, 50, D747–D757. Abstract |
| COVID-19 Drug Candidates | Duran-Frigola M., Bertoni M., Blanco R., Martínez V., Pauls E., Alcalde V., Turon G., Villegas N., Fernández-Torras A., Pons C., Mateo L., Guitart-Pla O., Badia-i-Mompel P., Gimeno A., Soler N., Brun-Heath I., Zaragoza H., Aloy P., Bioactivity profile similarities to expand the repertoire of COVID-19 drugs. Journal of Chemical Information and Modeling, 2020, 60, 5730-5734. Abstract |
| COVID19 Drug Repository | Tworowski D., Gorohovski A., Mukherjee S., Carmi G., Levy E., Detroja R., Mukherjee S., Frenkel-Morgenstern M., COVID19 Drug Repository: text-mining the literature in search of putative COVID19 therapeutics. Nucleic Acids Research, 2021, 49, D1113–D1121. Abstract |
| CPMCP | Sun C., Huang J., Tang R., Li M., Yuan H., Wang Y., Wei J.-M., Liu J., CPMCP: a database of Chinese patent medicine and compound prescription. Database, 2022, Article No baac073. Abstract |
| CVDHD | Gu J., Gui Y., Chen L., Yuan G., Xu X., CVDHD: a cardiovascular disease herbal database for drug discovery and network pharmacology. Journal of Cheminformatics, 2013, 5, Article No 51. Abstract |
| DART | Ji Z. L., Han L. Y., Yap C. W., Sun L. Z., Chen X., Chen Y. Z., DART: Drug Adverse Reaction Target Database. Drug Safety, 2003, 26, 685-690. Abstract |
| DCABM-TCM | Liu X., Liu J., Fu B., Chen R., Jiang J., Chen H., Li R., Xing L., Yuan L., Chen X., Zhang J., Li H., Guo S., Guo F., Guo J., Liu Y., Qi Y., Yu B., Xu F., Li D., Liu Z., DCABM-TCM: A database of constituents absorbed into the blood and metabolites of traditional Chinese medicine. Journal of Chemical Information and Modeling, 2023, 63, 4948–4959. Abstract |
| DDInter | Xiong G., Yang Z., Yi J., Wang N., Wang L., Zhu H., Wu C., Lu A., Chen X., Liu S., Hou T., Cao D., DDInter: an online drug–drug interaction database towards improving clinical decision-making and patient safety. Nucleic Acids Research, 2022, 50, D1200–D1207. Abstract |
| DDPD | Li Q., Ma S., Zhang X., Zhai Z., Zhou L., Tao H., Wang Y., Pan J., DDPD 1.0: a manually curated and standardized database of digital properties of approved drugs for drug-likeness evaluation and drug development. Database, 2022, Article No baab083. Abstract |
| DGIdb | Freshour S. L., Kiwala S., Cotto K. C., Coffman A. C., McMichael J. F., Song J. J., Griffith M., Griffith O. L., Wagner A. H., Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts. Nucleic Acids Research, 2021, 49, D1144–D1151. Abstract |
| DGIdb | Cannon M., Stevenson J., Stahl K., Basu R., Coffman A., Kiwala S., McMichael J. F., Kuzma K., Morrissey D., Cotto K., Mardis E. R., Griffith O. L., Griffith M., Wagner A. H., DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms. Nucleic Acids Research, 2024, 52, D1227–D1235. Abstract |
| DIA-DB | Pérez-Sánchez H., den-Haan H., Peña-García J., Lozano-Sánchez J., Martínez Moreno M. E., Sánchez-Pérez A., Muñoz A., Ruiz-Espinosa P., Pereira A. S. P., Katsikoudi A., Gabaldón Hernández J. A., Stojanovic I., Segura Carretero A., Tzakos A. G., DIA-DB: a database and web server for the prediction of diabetes drugs. Journal of Chemical Information and Modeling., 2020, 60, 4124–4130. Abstract |
| DockCoV2 | Chen T.-F., Chang Y.-C., Hsiao Y., Lee K.-H., Hsiao Y.-C., Lin Y.-H., Tu Y.-C. E., Huang H.-C., Chen C.-Y., Juan H.-F., DockCoV2: a drug database against SARS-CoV-2. Nucleic Acids Research, 2021, 49, D1152–D1159. Abstract |
| DRMref | Liu X., Yi J., Li T., Wen J., Huang K., Liu J., Wang G., Kim P., Song Q., Zhou X., DRMref: comprehensive reference map of drug resistance mechanisms in human cancer. Nucleic Acids Research, 2024, 52, D1253–D1264. Abstract |
| Drug2Gene | Roider H. G., Pavlova N., Kirov I., Slavov S., Slavov T., Uzunov Z., Weiss B., Drug2Gene: an exhaustive resource to explore effectively the drug-target relation network. BMC Bioinformatics, 2014, 15, Article No 68. Abstract |
| DrugBank | Knox C., Wilson M., Klinger C. M., Franklin M., Oler E., Wilson A., Pon A., Cox J., Chin N. E., Strawbridge S. A., Garcia-Patino M., Kruger R., Sivakumaran A., Sanford S., Doshi R., Khetarpal N., Fatokun O., Doucet D., Zubkowski A., Rayat D. Y., Jackson H., Harford K., Anjum A., Zakir M., Wang F., Tian S., Lee B., Liigand J., Peters H., Wang R. Q., Nguyen T., So D., Sharp M., da Silva R., Gabriel C., Scantlebury S., Jasinski M., Ackerman D., Jewison T., Sajed T., Gautam V., Wishart D. S., DrugBank 6.0: the DrugBank Knowledgebase for 2024. Nucleic Acids Research, 2024, 52, D1265–D1275. Abstract |
| DrugCentral | Avram S., Wilson T. B., Curpan R., Halip L., Borota A., Bora A., Bologa C. G., Holmes J., Knocke J., Yang J. J., Oprea T. I., DrugCentral 2023 extends human clinical data and integrates veterinary drugs. Nucleic Acids Res., 2023, 51, D1276–D1287. Abstract |
| DrugCombDB | Liu H., Zhang W., Zou B., Wang J., Deng Y., Deng L., DrugCombDB: a comprehensive database of drug combinations toward the discovery of combinatorial therapy. Nucleic Acids Research, 2020, 48, D871–D881. Abstract |
| Drug Information Portal | Provider: National Institutes of Health |
| DrugMap | Li F., Yin J., Lu M., Mou M., Li Z., Zeng Z., Tan Y., Wang S., Chu X., Dai H., Hou T., Zeng S., Chen Y., Zhu F., DrugMAP: molecular atlas and pharma-information of all drugs. Nucleic Acids Research, 2023, 51, D1288–D1299. Abstract |
| DrugMap Central | Fu C., Jin G., Gao J., Zhu R., Ballesteros-Villagrana E., Wong S. T. C., DrugMap Central: an on-line query and visualization tool to facilitate drug repositioning studies. Bioinformatics, 2013, 29, 1834-1836. Abstract |
| Drugmonizome | Kropiwnicki E., Evangelista J. E., Stein D. J., Clarke D. J. B., Lachmann A., Kuleshov M. V., Jeon M., Jagodnik K. M., Ma’ayan A., Drugmonizome and Drugmonizome-ML: integration and abstraction of small molecule attributes for drug enrichment analysis and machine learning. Database, 2021, Article No baab017. Abstract |
| Drug-Path | Zeng H., Qiu C., Cui Q., Drug-Path: a database for drug-induced pathways. Database, 2015, Article No bav061. Abstract |
| DrugPort | Provider: European Bioinformatics Institute |
| DrugRepV | Rajput A., Kumar A., Megha K., Thakur A., Kumar M., DrugRepV: a compendium of repurposed drugs and chemicals targeting epidemic and pandemic viruses. Briefings in Bioinformatics, 2021, 22, 1076–1084. Abstract |
| DrugSimDB | Azad A. K. M., Dinarvand M., Nematollahi A., Swift J., Lutze-Mann L., Vafaee F., A comprehensive integrated drug similarity resource for in-silico drug repositioning and beyond. Briefings in Bioinformatics, 2021, 22, Article No bbaa126. Abstract |
| DrugSpaceX | Yang T., Li Z., Chen Y., Feng D., Wang G., Fu Z., Ding X., Tan X., Zhao J., Luo X., Chen K., Jiang H., Zheng M., DrugSpaceX: a large screenable and synthetically tractable database extending drug space. Nucleic Acids Research, 2021, 49, D1170–D1178. Abstract |
| Drug Target Commons | Tanoli Z. R., Alam Z., Vähä-Koskela M., Ravikumar B., Malyutina A., Jaiswal A., Tang J., Wennerberg K., Aittokallio T., Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles. Database, 2018, Article No bay083. Abstract |
| DrumPID | Kunz M., Liang C., Nilla S., Cecil A., Dandekar T.,The drug-minded protein interaction database (DrumPID) for efficient target analysis and drug development. Database, 2016, Article No baw041. Abstract |
| DSigDB | Yoo M., Shin J., Kim J., Ryall K. A., Lee K., Lee S., Jeon M., Kang J., Tan A. C., DSigDB: drug signatures database for gene set analysis. Bioinformatics, 2015, 31, 3069-3071. Abstract |
| ECOdrug | Verbruggen B., Gunnarsson L., Kristiansson E., Österlund T., Owen S. F., Snape J. R., Tyler C. R., ECOdrug: a database connecting drugs and conservation of their targets across species. Nucleic Acids Research, 2018, 46, D930–D936. Abstract |
| e-Drug3D | Pihan E., Colliandre L., Guichou J. F., Douguet D., e-Drug3D: 3D structure collections dedicated to drug repurposing and fragment-based drug design. Bioinformatics, 2012, 28, 1540-1541. Abstract |
| EGFRIndb | Yadav I. S., Singh H., Khan I., Chaudhury A., Raghava G. P. S., Agarwal S. M., EGFRIndb: Epidermal Growth Factor Receptor Inhibitor Database. Anti-Cancer Agents in Medicinal Chemistry, 2014, 14, 928-935. Abstract |
| EK-DRD | Zhao C., Dai X., Li Y., Guo Q., Zhang J., Zhang X., Wang L., EK-DRD: a comprehensive database for drug repositioning inspired by experimental knowledge. Journal of Chemical Information and Modeling, 2019, 59, 3619-3624. Abstract |
| EpiGraphDB | Liu Y., Elsworth B., Erola P., Haberland V., Hemani G., Lyon M., Zheng J., Lloyd O., Vabistsevits M., Gaunt T. R., EpiGraphDB: a database and data mining platform for health data science. Bioinformatics, 2021, 37, 1304–1311. Abstract |
| ETCM | Xu H.-Y., Zhang Y.-Q., Liu Z.-M., Chen T., Lv C.-Y., Tang S.-H., Zhang X.-B., Zhang W., Li Z.-Y., Zhou R.-R., Yang H.-J., Wang X.-J., Huang L.-Q., ETCM: an encyclopaedia of traditional Chinese medicine. Nucleic Acids Research, 2019, 47, D976–D982. Abstract |
| ETM-DB | Bultum L. E., Woyessa A. M., Lee D., ETM-DB: integrated Ethiopian traditional herbal medicine and phytochemicals database. BMC Complementary Medicine and Therapies, 2019, 19, 212–223. Abstract |
| eTOX Library | Cases M., Pastor M., Sanz F., The eTOX Library of public resources for in silico toxicity prediction. Molecular Informatics, 2013, 32, 24–35. Abstract |
| FAERS | Provider: Food and Drug Administration |
| FDA-Drugs | Provider: Food and Drug Administration |
| FTC | Croset S., Overington J. P., Rebholz-Schuhmann D., The functional therapeutic chemical classification system. Bioinformatics, 2014, 30, 876-883. Abstract |
| GCDB | Wei Y., Li J., Li B., Ma C., Xu X., Wang X., Liu A., Du T., Wang Z., Hong Z., Lin J., GCDB: a glaucomatous chemogenomics database for in silico drug discovery. Database, 2018, Article No bay117. Abstract |
| GSRS | Peryea T., Southall N., Miller M., Katzel D., Anderson N., Neyra J., Stemann S., Nguyễn D.-T., Amugoda D., Newatia A., Ghazzaoui R., Johanson E., Diederik H., Callahan L., Switzer F., Global Substance Registration System: consistent scientific descriptions for substances related to health. Nucleic Acids Research, 2021, 49, D1179–D1185. Abstract |
| HAMdb | Wang N.-N., Dong J., Zhang L., Ouyang D., Cheng Y., Chen A. F., Lu A.-P., Cao D.-S., HAMdb: a database of human autophagy modulators with specific pathway and disease information. Journal of Cheminformatics, 2018, 10, Article No 34. Abstract |
| HARIBOSS | Panei F. P., Torchet R., Ménager H., Gkeka P., Bonomi M., HARIBOSS: a curated database of RNA-small molecules structures to aid rational drug design. Bioinformatics, 2022, 38, 4185–4193. Abstract |
| HEDD | Qi Y., Wang D., Wang D., Jin T., Yang L., Wu H., Li Y., Zhao J., Du F., Song M., Wang R., HEDD: the human epigenetic drug database. Database, 2016, Article No baw159. Abstract |
| HERB | Fang S., Dong L., Liu L., Guo J., Zhao L., Zhang J., Bu D., Liu X., Huo P., Cao W., Dong Q., Wu J., Zeng X., Wu Y., Zhao Y., HERB: a high-throughput experiment- and reference-guided database of traditional Chinese medicine. Nucleic Acids Research, 2021, 49, D1197–D1206. Abstract |
| HerDing | Choi W., Choi C.-H., Kim Y. R., Kim S.-J., Na C.-S., Lee H., HerDing: herb recommendation system to treat diseases using genes and chemicals. Database, 2016, Article No baw011. Abstract |
| HLA-ADR | Ghattaoraya G. S., Dundar Y., González-Galarza F. F., Thomaz Maia M. H., Melo Santos E. J., Soares da Silva A. L., McCabe A., Middleton D., Alfirevic A., Dickson R., Jones A. R., A web resource for mining HLA associations with adverse drug reactions: HLA-ADR. Database, 2016, Article No baw069. Abstract |
| HSPMdb | Singh P., Unik B., Puri A., Nagpal G., Singh B., Gautam A., Sharma D., HSPMdb: a computational repository of heat shock protein modulators. Database, 2020, Article No baaa003. Abstract |
| IDAD | Provider: National University of Singapore |
| IMPPAT | Vivek-Ananth R. P., Mohanraj K., Sahoo A. K., Samal A., IMPPAT 2.0: an enhanced and expanded phytochemical atlas of Indian medicinal plants. ACS Omega, 2023, 8, 8827−8845. Abstract |
| InflamNat | Zhang R., Ren S., Dai Q., Shen T., Li X., Li J., Xiao W., InflamNat: web‑based database and predictor of anti‑inflammatory natural products. Journal of Cheminformatics, 2022, 14, Artykuł nr 30. Abstract |
| INTEDE | Zhang Y., Liu X., Li F., Yin J., Yang H., Li X., Liu X., Chai X., Niu T., Zeng S., Jia Q., Zhu F., INTEDE 2.0: the metabolic roadmap of drugs. Nucleic Acids Research, 2024, 52, D1355–D1364. Abstract |
| IUPHAR-DB | Harding S. D., Armstrong J. F., Faccenda E., Southan C., Alexander S. P. H., Davenport A. P., Spedding M., Davies J., The IUPHAR/BPS Guide to PHARMACOLOGY in 2024. Nucleic Acids Research, 2024, 52, D1438–D1449. Abstract |
| KEGG BRITE | Kanehisa M., Furumichi M., Sato Y., Kawashima M., Ishiguro-Watanabe M., KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Research, 2023, 51, D587–D592. Abstract |
| KEGG drug | Kanehisa M., Furumichi M., Sato Y., Kawashima M., Ishiguro-Watanabe M., KEGG for taxonomy-based analysis of pathways and genomes. Nucleic Acids Research, 2023, 51, D587–D592. Abstract |
| LabWorm Drugs | Authors: Yoav Bauman, Roy Granit, Alon Vitenshtein |
| LINCS | Provider: National Institutes of Health |
| MACC | Gao J., Mo S., Wang J., Zhang M., Shi Y., Zhu C., Shang Y., Tang X., Zhang S., Wu X., Xu X., Wang Y., Li Z., Zheng G., Chen Z., Wang Q., Tang K., Cao Z., MACC: a visual interactive knowledgebase of metabolite-associated cell communications. Nucleic Acids Research, 2024, 52, D633–D639. Abstract |
| MedPServer | Potshangbam A. M., Polavarapu R., Rathore R. S., Naresh D., Prabhu N. P., Potshangbam N., Kumar P., Vindal V., MedPServer: A database for identification of therapeutic targets and novel leads pertaining to natural products. Chemical Biology & Drug Design, 2019, 93, 438–446. Abstract |
| MeSH | Sayers E. W., Beck J., Brister J. R., Bolton E. E., Canese K., Comeau D. C., Funk K., Ketter A., Kim S., Kimchi A., Kitts P. A., Kuznetsov A., Lathrop S., Lu Z., McGarvey K., Madden T. L., Murphy T. D., O’Leary N., Phan L., Schneider V. A., Thibaud-Nissen F., Trawick B. A., Pruitt K. D., Ostell J., Database resources of the National Center for Biotechnology Information. Nucleic Acids Res., 2020, 48, D9-D16. Abstract |
| MetaADEDB | Cheng F., Li W., Wang Y., Zhou Y., Wu Z., Shen J., Tang Y., Adverse Drug Events: database construction and in silico prediction. Journal of Chemical Information and Modeling, 2013, 53, 744-752. Abstract |
| MPDB | Hussain N., Chanda R., Abir R. A., Mou M. A., Hasan K., Ashraf M. A., MPDB 2.0: a large scale and integrated medicinal plant database of Bangladesh. BMC Research Notes, 2021, 14, Article No 301. Abstract |
| NCATS Inxight Drugs | Siramshetty V. B., Grishagin I., Nguyễn Ð-T., Peryea T., Skovpen Y., Stroganov O., Katzel D., Sheils T., Jadhav A., Mathé E. A., Southall N. T., NCATS Inxight Drugs: a comprehensive and curated portal for translational research. Nucleic Acids Research, 2022, 50, D1307–D1316. Abstract |
| NCI DIS 3D Database | Milne G. W. A., Nicklaus M. C., Driscoll J. S., Wang S., Zaharevitz D., The NCI Drug Information System 3D Database. Journal of Chemical Information and Computer Sciences, 1994, 34, 1219-1224. Abstract |
| ncRNADrug | Cao X., Zhou X., Hou F., Huang Y., Yuan M., Long M., Chen S., Lei W., Zhu J., Chen J., Zhang T., Guo A.-Y., Jiang W., ncRNADrug: a database for validated and predicted ncRNAs associated with drug resistance and targeted by drugs. Nucleic Acids Research, 2024, 52, D1393–D1399. Abstract |
| NetwoRx | Provider: Jurisica Lab, Ontario Cancer Institute, Princess Margaret Hospital/UHN |
| NIAID | Provider: National Institute for Allergy and Infectious Diseases |
| NPACT | Mangal M., Sagar P., Singh H., Raghava G. P. S., Agarwal S. M., NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database. Nucleic Acids Research, 2013, 41, D1124-D1129. Abstract |
| NPASS | Zhao H., Yang Y., Wang S., Yang X., Zhou K., Xu C., Zhang X., Fan J., Hou D., Li X., Lin H., Tan Y., Wang S., Chu X.-Y., Zhuoma D., Zhang F., Ju D., Zeng X., Chen Y. Z., NPASS database update 2023: quantitative natural product activity and species source database for biomedical research. Nucleic Acids Research, 2023, 51, D621–D628. Abstract |
| NPCARE | Choi H., Cho S. Y., Pak H. J., Kim Y., Choi J.-Y., Lee Y. J., Gong B. H., Kang Y. S., Han T., Choi G., Cho Y., Lee S., Ryoo D., Park H., NPCARE: database of natural products and fractional extracts for cancer regulation. Journal of Cheminformatics, 2017, 9, Article No 2. Abstract |
| NPCDR | Sun X., Zhang Y., Zhou Y., Lian X., Yan L., Pan T., Jin T., Xie H., Liang Z., Qiu W., Wang J., Li Z., Feng hu F., Sui X., NPCDR: natural product-based drug combination and its disease-specific molecular regulation. Nucleic Acids Research, 2022, 50, D1324–D1333. Abstract |
| NRLiSt BDB | Lagarde N., Ben Nasr N., Jérémie A., Guillemain H., Laville V., Labib T., Zagury J.-F., Montes M., NRLiSt BDB, the manually curated nuclear receptors ligands and structures benchmarking database. Journal of Medicinal. Chemistry, 2014, 57, 3117–3125. Abstract |
| Open Targets | Ochoa D., Hercules A., Carmona M., Suveges D., Baker J., Malangone C., Lopez I., Miranda A., Cruz-Castillo C., Fumis L., Bernal-Llinares M., Tsukanov K., Cornu H., Tsirigos K., Razuvayevskaya O., Buniello A., Schwartzentruber J., Karim M., Ariano B., Martinez Osorio R. E., Ferrer J., Ge X., Machlitt-Northen S., Gonzalez-Uriarte A., Saha S., Tirunagari S., Mehta C., Roldán-Romero J. M., Horswell S., Young S., Ghoussaini M., Hulcoop D. G., Dunham I., McDonagh E. M., The next-generation Open Targets Platform: reimagined, redesigned, rebuilt. Nucleic Acids Research, 2023, 51, D1353–D1359. Abstract |
| PDSP | Providers: National Institute of Mental Health, Bethesda, MD, USA and University of North Carolina, Chapel Hill, NC, USA |
| PepTherDia | D’Aloisio V., Dognini P., Hutcheon G. A., Coxon C. R., PepTherDia: database and structural composition analysis of approved peptide therapeutics and diagnostics. Drug Discovery Today, 2021, 26, 1409-1419. Abstract |
| PeruNPD | Barazorda‑Ccahuana H. L., Gálvez Ranilla L., Candia‑Puma M. A., Cárcamo‑Rodriguez E. G., Centeno‑Lopez A. E., Davila‑Del‑Carpio G., Medina‑Franco J. L., Chávez‑Fumagalli M. A., PeruNPDB: the Peruvian Natural Products Database for in silico drug screening. Scientific Reports, 2023, 13, Article No 7577. Abstract |
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| Wikipedia ATC | |
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Last Updated on 26-03-2024 by Piotr Minkiewicz