Pharmacologically active compounds

ADCdbShen 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-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
AODBDeng 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
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
BATMAN-TCMKong 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 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
Canada Vigilance adverse reaction online databaseProvider: Government of Canada
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
CPADSLi K., Yang H., Lin A., Xie J., Wang H., Zhou J., Carr S. R., Liu Z., Li X., Zhang J., Cheng Q., Schrump D. S., Luo P., Wei T., CPADS:a web tool for comprehensive pancancer analysis of drug sensitivity. Briefings in Bioinformatics, 2024, 25, Article No bbae237. Abstract
CPMCPSun 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
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
DCABM-TCMLiu 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
DDIDHong Y., Xu H., Liu Y., Zhu S., Tian C., Chen G., Zhu F., Tao L., DDID: a comprehensive resource for visualization and analysis of diet–drug interactions. Briefings in Bioinformatics, 2024, 25, Article No bbae212. 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
DGIdbCannon 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-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
DRMrefLiu 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
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
DrugBankKnox 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
DrugCentralAvram 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
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
DrugMapLi 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 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
ETM-DBBultum 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 LibraryCases M., Pastor M., Sanz F., The eTOX Library of public resources for in silico toxicity prediction. Molecular Informatics, 2013, 32, 24–35. Abstract
FAERSProvider: Food and Drug Administration
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
HARIBOSSPanei 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
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
Hippo(crates)Papageorgiou L., Andreou A., Christoforides E., Bethanis K., Vlachakis D., Thireou T., Eliopoulos E., Hippo(crates): An integrated atlas for natural product exploration through a state‑of‑the art pipeline in chemoinformatics. World Academy of Science Journal, 2022, 4, DOI: 10.3892/wasj.2021.136. 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
IMPPATVivek-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
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
INTEDEZhang 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-DBHarding 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 BRITEKanehisa 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 drugKanehisa 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 DrugsAuthors: Yoav Bauman, Roy Granit, Alon Vitenshtein
LINCSProvider: National Institutes of Health
MACCGao 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
MedPServerPotshangbam 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
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
MPDBHussain 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 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
ncRNADrugCao 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
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
NPASSZhao 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
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., 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
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
PeruNPDBarazorda‑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
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
PharmGWASKang H., Pan S., Lin S., Wang Y.-Y., Yuan N., Jia P., PharmGWAS: a GWAS-based knowledgebase for drug repurposing. Nucleic Acids Research, 2024, 52, D972–D979. 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
PHCDProvider: Chemistry & Chemical Engineering Research Center of Iran
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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
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SuperTCMChen Q., Springer L., Gohlke B. O., Goede A., Dunkel M., Abel R., Gallo K., Preissner S., Eckert A., Seshadri L., Preissner R., SuperTCM: A biocultural database combining biological pathways and historical linguistic data of Chinese Materia Medica for drug development. Biomedicine & Pharmacotherapy, 2021, 144, Article No 112315. Abstract
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VNPHu Q.-N., Deng Z., Tu W., Yang X., Meng Z.-B., Deng Z.-X., Liu J., VNP: interactive Visual Network Pharmacology of diseases, targets, and drugs. CPT Pharmacometrics & Systems Pharmacology, 2014, 3, Article No e105. Abstract
Wikipedia ATC 
WITHDRAWNGallo K., Goede A., Eckert O.-A., Gohlke B.-O., Preissner R., Withdrawn 2.0—update on withdrawn drugs with pharmacovigilance data. Nucleic Acids Research, 2024, 52, D1503–D1507. Abstract
ZINClickMassarotti A., Brunco A., Sorba G., Tron G. C., ZINClick: a database of 16 million novel, patentable, and readily synthesizable 1,4-disubstituted triazoles. Journal of Chemical Information and Modeling, 2014, 54, 396–406. Abstract

Last Updated on 05-09-2024 by Piotr Minkiewicz