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Materials for Drug Development using AI

Drug dataset (Chem)

  • ZINC15

https://zinc15.docking.org/

  • ZINC20

https://zinc20.docking.org/

  • MOSES (filtered ZINC)

https://github.com/molecularsets/moses

  • ChEMBL

https://www.ebi.ac.uk/chembl/

  • PubChem

https://pubchem.ncbi.nlm.nih.gov/

  • DrugBank

https://go.drugbank.com/

  • DUD-E

http://dude.docking.org/datasets

  • ExCAPE-DB

https://solr.ideaconsult.net/search/excape/

  • PHAROS

https://pharos.nih.gov/

  • GDB

https://gdb.unibe.ch/downloads/

  • QM

http://quantum-machine.org/datasets/

Benchmark dataset

  • MoleculeNet

http://moleculenet.ai/

  • GuacaMol

https://www.benevolent.com/guacamol

Genomics

  • GEO

https://www.ncbi.nlm.nih.gov/geo/

  • KEGG

https://www.genome.jp/kegg/

  • OMIM

https://www.omim.org/

  • PheGenI

https://www.ncbi.nlm.nih.gov/gap/phegeni

  • HGNC

https://www.genenames.org/

  • gnomAD

https://gnomad.broadinstitute.org/

  • ArrayExpress

https://www.ebi.ac.uk/arrayexpress/

  • Cytotoxicity Database

https://ctdbase.org/

  • GDAC

https://gdac.broadinstitute.org/

Cancer Genomics

  • DepMap

https://depmap.org/portal/

  • TCGA

https://portal.gdc.cancer.gov/

http://firebrowse.org/ (for data downloading)

  • ICGC

https://icgc.org/

  • cBioPortal

https://www.cbioportal.org/

  • COSMIC

https://cancer.sanger.ac.uk/census

  • Cancer Hallmarks Genes

http://bio-bigdata.hrbmu.edu.cn/CHG/index.html

  • NCI-60

https://dtp.cancer.gov/discovery_development/nci-60/

  • NCI TPW

https://tpwb.nci.nih.gov/GeneExpressionNCI60/TPWorkbench/

  • CTRP

https://portals.broadinstitute.org/ctrp/

  • GDSC

https://www.cancerrxgene.org/

  • Cancer Therapeutics Response Portal

https://www.broadinstitute.org/ctrp

  • CellMiner

https://discover.nci.nih.gov/cellminer/home.do

  • CellMinerCDB

https://discover.nci.nih.gov/rsconnect/cellminercdb/

Drug-induced Gene Expression Profiles

  • LINCS

http://lincsportal.ccs.miami.edu/dcic-portal/

Single Cell Genomics

  • 10x Genomics

https://support.10xgenomics.com/single-cell-gene-expression/datasets/

Pharmacogenomics

  • PharmGKB

https://www.pharmgkb.org/

  • PharmVar

https://www.pharmvar.org/

  • NCI DREAM

http://dreamchallenges.org/project/dream-7-nci-dream-drug-sensitivity-prediction-challenge/

  • PharmacoDB

https://pharmacodb.ca/

Human Interactome

  • STRING

https://string-db.org/

  • PINA

https://omics.bjcancer.org/pina/

  • HuRI

http://www.interactome-atlas.org/

  • ClueGO

http://apps.cytoscape.org/apps/cluego

  • Cytoscape

https://cytoscape.org/

  • BIOGRID

https://thebiogrid.org/

  • Interactome

https://ccsb.dana-farber.org/interactome-data.html

Cancer Cell Line Encyclopedia

  • CCLE

https://portals.broadinstitute.org/ccle

GO Analysis

  • DAVID

https://david.ncifcrf.gov/

Gene Set Enrichment Analysis

  • GSEA

https://www.gsea-msigdb.org/gsea/index.jsp

  • Enrichr

https://maayanlab.cloud/Enrichr/

Protein Database

  • Uniprot

https://www.uniprot.org/

  • Pfam

https://pfam.xfam.org/

Protein Structure

  • PDB

https://www.rcsb.org/

  • SWISS-MODEL

https://swissmodel.expasy.org/

Chemical-Protein interaction

  • STITCH

http://stitch.embl.de/

Software

  • Schrodinger

https://www.schrodinger.com/

  • Rosetta

https://www.rosettacommons.org/software

  • Spark

https://www.cresset-group.com/software/spark/

Side Effect

  • SIDER 4.1

http://sideeffects.embl.de/

  • OFFSIDES

http://tatonettilab.org/offsides/

Medical Terminology

  • MedDRA

https://www.meddra.org/

ADMET

  • admetSAR

http://lmmd.ecust.edu.cn/admetsar2/

EHR

  • MIMIC

https://mimic.mit.edu/docs/gettingstarted/

freely-available medical research data

  • PhysioNet

https://physionet.org/about/database/

Frequently used database in clinical practice

  • UpToDate

https://www.uptodate.com/contents/search

  • IBM Micromedex

https://www.micromedexsolutions.com/home/dispatch

Molecular Dynamics

  • GROMACS

https://www.gromacs.org/

  • AmberTools

https://ambermd.org/AmberTools.php

  • NAMD

https://www.ks.uiuc.edu/Research/namd/

  • Martini (force-field)

http://cgmartini.nl/

Related good paper

  • A Review of Biomedical Datasets Relating to Drug Discovery: A Knowledge Graph Perspective

https://arxiv.org/abs/2102.10062

To be updated...

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