Pharmacologically active compounds

ADReCS-TargetHuang 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
AICDWang 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
AMDDDanishuddin M., Kaushal L., Baig M. H., Khan A. U., AMDD: Antimicrobial Drug Database. Genomics, Proteomics & Bioinformatics, 2012, 10, 360–363. Abstract
AntiCancer Standard AgentsProviders: National Cancer Institute and National Institutes of Health
anti-HCoVMonticolo 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 NetworksJorge 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 DatabaseMalloci 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
ASDCDChen 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
BIDD websiteProvider: National University of Singapore
BioM2MetDiseaseXu 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
BioPhytMolSharma 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
CancerDRKumar 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
CancerResourceGohlke 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
CandActCFTRProvider: Universitätzmedizin Göttingen
canSARTym 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
CARDJia 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 AtlasWang 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
CEMTDDHuang J., Wang J., CEMTDD: Chinese Ethnic Minority Traditional Drug Database. Apoptosis, 2014, 19, 1419-1420. Abstract
CFamZhang 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 CheckerDuran-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
ClinicalTrialsProvider: National Institutes of Health
ClusterMine360Conway K. R., Boddy C. N., ClusterMine360: A database of microbial PKS/NRPS biosynthesis. Nucleic Acids Research, 2013, 41, D402-D407. Abstract
CMAUPZeng 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
ConjuPepDBBalogh 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
COVID19dbZhang 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 CandidatesDuran-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 RepositoryTworowski 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
CVDHDGu 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
DARTJi 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
DDInterXiong 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
DDPDLi 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
DGIdbFreshour 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
DIA-DBPérez-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
DockCoV2Chen 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
Drug2GeneRoider 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
DrugBankWishart D. S., Feunang Y. D., Guo A. C., Lo E. J., Marcu A., Grant J. R., Sajed T., Johnson D., Li C., Sayeeda Z., Assempour N., Iynkkaran I., Liu Y., Maciejewski A., Gale N., Wilson A., Chin L., Cummings R., Le D., Pon A., Knox C., Wilson M., DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Research, 2018, 46, D1074–D1082. Abstract
DrugCentralAvram S., Bologa C. G., Holmes J., Bocci G., Wilson T. B., Nguyen D.-T., Curpan R., Halip L., Bora A., Yang J. J., Knockel J., Sirimulla S., Ursu O., Oprea T. I., DrugCentral 2021 supports drug discovery and repositioning. Nucleic Acids Research, 2021, 49, D1160–D1169. Abstract
DrugCombDBLiu 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 PortalProvider: National Institutes of Health
DrugMap CentralFu 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
DrugmonizomeKropiwnicki 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-PathZeng H., Qiu C., Cui Q., Drug-Path: a database for drug-induced pathways. Database, 2015, Article No bav061. Abstract
DrugPortProvider: European Bioinformatics Institute
DrugRepVRajput 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
DrugSimDBAzad 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
DrugSpaceXYang 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 CommonsTanoli 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
DrumPIDKunz 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
DSigDBYoo 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
ECOdrugVerbruggen 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-Drug3DPihan 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
EGFRIndbYadav 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-DRDZhao 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
EpiGraphDBLiu 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
ETCMXu 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
eTOX LibraryCases M., Pastor M., Sanz F., The eTOX Library of public resources for in silico toxicity prediction. Molecular Informatics, 2013, 32, 24–35. Abstract
FDA-DrugsProvider: Food and Drug Administration
FTCCroset S., Overington J. P., Rebholz-Schuhmann D., The functional therapeutic chemical classification system. Bioinformatics, 2014, 30, 876-883. Abstract
GCDBWei 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
GSRSPeryea 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
HAMdbWang 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
HEDDQi 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
HERBFang 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
HerDingChoi 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-ADRGhattaoraya 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
HSPMdbSingh 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
IDADProvider: National University of Singapore
IMPPATMohanraj K., Karthikeyan B. S., Vivek-Ananth R. P., Chand R. P. B., Aparna S. R., Mangalapandi P., Samal A., IMPPAT: A curated database of Indian Medicinal Plants, Phytochemistry And Therapeutics. Scientific Reports, 2018, 8, Article No 4329. Abstract
InflamNatZhang 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
IUPHAR-DBHarding S. D., Armstrong J. F., Faccenda E., Southan C., Alexander S. P. H., Davenport A. P., Pawson A. J., Spedding M., Davies J. A., NC-IUPHAR, The IUPHAR/BPS guide to PHARMACOLOGY in 2022: curating pharmacology for COVID-19, malaria and antibacterials. Nucleic Acids Research, 2022, 50, D1282–D1294. Abstract
KEGG BRITEKanehisa M., Furumichi M., Sato Y., Ishiguro-Watanabe M., Tanabe M., KEGG: integrating viruses and cellular organisms. Nucleic Acids Research, 2021, 49, D545–D551. Abstract
KEGG drugKanehisa M., Furumichi M., Sato Y., Ishiguro-Watanabe M., Tanabe M., KEGG: integrating viruses and cellular organisms. Nucleic Acids Research, 2021, 49, D545–D551. Abstract
LabWorm DrugsAuthors: Yoav BaumanRoy GranitAlon Vitenshtein
LINCSProvider: National Institutes of Health
MeSHSayers 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
MetaADEDBCheng 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
NCATS Inxight DrugsSiramshetty 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 DatabaseMilne 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
NetwoRxProvider: Jurisica Lab, Ontario Cancer Institute, Princess Margaret Hospital/UHN
NIAIDProvider: National Institute for Allergy and Infectious Diseases
NPACTMangal 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
NPASSZeng X., Zhang P., He W., Qin C., Chen S., Tao L., Wang Y., Tan Y., Gao D., Wang B., Chen Z., Chen W., Jiang Y. Y., Chen Y. Z., NPASS: natural product activity and species source database for natural product research, discovery and tool development. Nucleic Acids Research, 2018, 46, D1217–D1222. Abstract
NPCAREChoi 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
NPCDRSun 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 BDBLagarde 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 TargetsOchoa D., Hercules A., Carmona M., Suveges D., Gonzalez-Uriarte A., Malangone C., Miranda A., Fumis L., Carvalho-Silva D., Spitzer M., Baker J., Ferrer J., Raies A., Razuvayevskaya O., Faulconbridge A., Petsalaki E., Mutowo P., Machlitt-Northen S., Peat G., McAuley E., Ong C. K., Mountjoy E., Ghoussaini M., Pierleoni A., Papa E., Pignatelli M., Koscielny G., Karim M., Schwartzentruber J., Hulcoop D. G., Dunham I., McDonagh E. M., Open Targets Platform: supporting systematic drug–target identification and prioritisation. Nucleic Acids Research, 2021, 49, D1302–D1310. Abstract
PDSPProviders: National Institute of Mental Health, Bethesda, MD, USA and University of North Carolina, Chapel Hill, NC, USA
PepTherDiaD’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
PharmacoDBFeizi N., Nair S. K., Smirnov P., Beri G., Eeles C., Esfahani P. N., Nakano M., Tkachuk D., Mammoliti A., Gorobets E., Mer A. S., Lin E., Yu Y., Martin S., Hafner M., Haibe-Kains B., PharmacoDB 2.0: improving scalability and transparency of in vitro pharmacogenomics analysis. Nucleic Acids Research, 2022, 50, D1348–D1357. Abstract
PharmGKBThorn C. F., Klein T. E., Altman R. B., PharmGKB: The pharmacogenomics knowledge base. Methods in Molecular Biology, 2013, 1015, 311-320. Abstract
PHAROSNguyen D.-T., Mathias S., Bologa C., Brunak S., Fernandez N., Gaulton A., Hersey A., Holmes J., Jensen L. J., Karlsson A., Liu G., Ma’ayan A., Mandava G., Mani S., Mehta S., Overington J., Patel J., Rouillard A. D., Schürer S., Sheils T., Simeonov A., Sklar L. A., Southall N., Ursu O., Vidovic D., Waller A., Yang J., Jadhav A., Oprea T. I., Guha R., Pharos: Collating protein information to shed light on the druggable genome. Nucleic Acids Research, 2017, 45, D995-D1002. Abstract
PhIDDeng Z., Tu W., Deng Z., Hu Q.-N., PhID: an open-access integrated pharmacology interactions database for drugs, targets, diseases, genes, side-effects, and pathways. Journal of Chemical Information and Modeling, 2017, 57, 2395–2400. Abstract
PK/DBModa T. L., Torres L. G., Carrara A. E., Andricopulo A. D., PK/DB: database for pharmacokinetic properties and predictive in silico ADME models. Bioinformatics, 2008, 24, 2270-2271. Abstract
PK-DBGrzegorzewski J., Brandhorst J., Green K., Eleftheriadou D., Duport Y., Barthorscht F., Köller A., Ke D. Y. J., De Angelis S., König M., PK-DB: pharmacokinetics database for individualized and stratified computational modeling. Nucleic Acids Research, 2021, 49, D1358–D1364. Abstract
PoSSuMdsIto J., Ikeda K., Yamada K., Mizuguchi K., Tomii K., PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs. Nucleic Acids Research, 2015, 43, D392-D398. Abstract
PROMISCUOUSGallo K., Goede A., Eckert A., Moahamed B., Preissner R., Gohlke B.-O., PROMISCUOUS 2.0: a resource for drug-repositioning. Nucleic Acids Research, 2021, 49, D1373–D1380. Abstract
Re:fine drugsMoosavinasab S., Patterson J., Strouse R., Rastegar-Mojarad M., Regan K., Payne P. R. O., Huang Y., Lin S. M., ‘RE:fine drugs’: an interactive dashboard to access drug repurposing opportunities. Database, 2016, Article No baw083. Abstract
RepurposeDBShameer K., Glicksberg B. S., Hodos R., Johnson K. W., Badgeley M. A., Readhead B., Tomlinson M. S.,  O’Connor T., Miotto R., Kidd B. A., Chen R., Ma’ayan A., Dudley J. T., Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning. Briefings in Bioinformatics, 2018, 19, 656–678. Abstract
Shennong Project – SARS-COV-2Xu C., Ke Z., Liu C., Wang Z., Liu D., Zhang L., Wang J., He W., Xu Z., Li Y., Yang Y., Huang Z., Lv P., Wang X., Han D., Li Y., Qiao N., Liu B., Systemic in silico screening in drug discovery for coronavirus disease (COVID-19) with an online interactive web server. Journal of Chemical Information and Modeling, 2020, 60, 5735–5745. Abstract
SIDERKuhn M., Letunic I., Jensen L. J., Bork P., The SIDER database of drugs and side effects. Nucleic Acids Research, 2016, 44, D1075–D1079. Abstract
SMMDBMishra S. K., Jain N., Shankar U., Tawani A., Mishra A., Kumar A., SMMDB: a web-accessible database for small molecule modulators and their targets involved in neurological diseases. Database, 2018, Article No bay082. Abstract
StreptomeDBMoumbock A. F. A., Gao M., Qaseem A., Li J., Kirchner P. A., Ndingkokhar B., Bekono B. D., Simoben C. V., Babiaka S. B., Malange Y. I., Sauter F., Zierep P., Ntie-Kang F., Günther S., StreptomeDB 3.0: an updated compendium of streptomycetes natural products. Nucleic Acids Research, 2021, 49, D600–D604. Abstract
SuperDrugSiramshetty V. B., Eckert O. A., Gohlke B.-O., Goede A., Chen Q., Devarakonda P., Preissner S., Preissner R., SuperDRUG2: a one stop resource for approved/marketed drugs. Nucleic Acids Research, 2018, 46, D1137–D1143. Abstract
SuperPainGohlke B. O., Preissner R., Preissner S., SuperPain-a resource on pain-relieving compounds targeting ion channels. Nucleic Acids Research, 2014, 42, D1107–D1112. Abstract
SuperTargetHecker N., Ahmed J., von Eichborn J., Dunkel M., Macha K., Eckert A., Gilson M. K., Bourne P. E., Preissner R., SuperTarget goes quantitative: update on drug–target interactions.  Nucleic Acids Research, 2012, 40, D1113-D1117. Abstract
SymMapWu Y., Zhang F., Yang K., Fang S., Bu D., Li H., Sun L., Hu H., Gao K., Wang W., Zhou X., Zhao Y., Chen J., SymMap: an integrative database of traditional Chinese medicine enhanced by symptom mapping. Nucleic Acids Research, 2019, 47, D1110–D1117. Abstract
SYNERGxDBSeo H., Tkachuk D., Ho C., Mammoliti A., Rezaie A., Tonekaboni S. A. M., Haibe-Kains B., SYNERGxDB: an integrative pharmacogenomic portal to identify synergistic drug combinations for precision oncology. Nucleic Acids Research, 2020, 48, W494–W501. Abstract
SynPharmIreland S. M., Southan C., Dominguez-Monedero A., Harding S. D., Sharman J. L., Davies J. A., SynPharm: A Guide to PHARMACOLOGY database tool for designing drug control into engineered proteins. ACS Omega, 2018, 3, 7993-8002. Abstract
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Wikipedia ATC 
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