On the public citation graph

Cancer pharmacoinformatics: Databases and analytical tools

https://doi.org/10.1007/s10142-024-01445-5

0 signed · 290 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/1615-9861(200210)2:10<1374::aid-prot1374>3.0.co;2-dopenalex-snapshot

Peptide mass fingerprinting peak intensity prediction: Extracting knowledge from spectra

inferredcites →https://doi.org/10.1002/9780470249031.ch1openalex-snapshot

Modeling and Informatics in Drug Design

inferredcites →https://doi.org/10.1002/9780470697047openalex-snapshot

Anticancer Therapeutics

inferredcites →https://doi.org/10.1002/cnr2.1795openalex-snapshot

Metabolomics in oncology

inferredcites →https://doi.org/10.1002/cpz1.722openalex-snapshot

Using the Reactome Database

inferredcites →https://doi.org/10.1002/humu.21176openalex-snapshot

CanProVar: a human cancer proteome variation database

inferredcites →https://doi.org/10.1002/ijc.33588openalex-snapshot

Cancer statistics for the year 2020: An overview

inferredcites →https://doi.org/10.1002/jms.1777openalex-snapshot

MassBank: a public repository for sharing mass spectral data for life sciences

inferredcites →https://doi.org/10.1002/lio2.643openalex-snapshot

Early phase clinical studies of AR ‐42, a histone deacetylase inhibitor, for neurofibromatosis type 2‐associated vestibular schwannomas and meningiomas

inferredcites →https://doi.org/10.1002/mas.20356openalex-snapshot

Cancer proteomics

inferredcites →https://doi.org/10.1002/mco2.315openalex-snapshot

Applications of multi‐omics analysis in human diseases

inferredcites →https://doi.org/10.1002/pmic.200500874openalex-snapshot

Two‐dimensional gel electrophoresis as tool for proteomics studies in combination with protein identification by mass spectrometry

inferredcites →https://doi.org/10.1002/pmic.201900042openalex-snapshot

Challenges and Opportunities in Cancer Metabolomics

inferredcites →https://doi.org/10.1002/pro.4497openalex-snapshot

BepiPred ‐3.0: Improved B‐cell epitope prediction using protein language models

inferredcites →https://doi.org/10.1002/wsbm.1417openalex-snapshot

PharmGKB: A worldwide resource for pharmacogenomic information

inferredcites →https://doi.org/10.1007/978-1-0716-0270-6_14openalex-snapshot

BioMagResBank (BMRB) as a Resource for Structural Biology

inferredcites →https://doi.org/10.1007/978-1-4939-3578-9_5openalex-snapshot

The Gene Expression Omnibus Database

inferredcites →https://doi.org/10.1007/978-1-60327-216-2_6openalex-snapshot

Introduction to Genomics

inferredcites →https://doi.org/10.1007/978-1-60761-842-3openalex-snapshot

Computational Biology

inferredcites →https://doi.org/10.1007/978-1-61779-043-0_22openalex-snapshot

Database Resources for Proteomics-Based Analysis of Cancer

inferredcites →https://doi.org/10.1007/978-3-030-24100-1_2openalex-snapshot

Next Generation Sequencing (NGS): A Revolutionary Technology in Pharmacogenomics and Personalized Medicine in Cancer

inferredcites →https://doi.org/10.1007/978-3-030-50287-4openalex-snapshot

Cancer Immunology

inferredcites →https://doi.org/10.1007/978-94-024-0844-7openalex-snapshot

Cancer Drug Discovery: Science and History

inferredcites →https://doi.org/10.1007/978-981-15-5534-3_6openalex-snapshot

Computer-Aided Drug Design

inferredcites →https://doi.org/10.1007/s00262-012-1354-xopenalex-snapshot

Bioinformatics for cancer immunology and immunotherapy

inferredcites →https://doi.org/10.1007/s10278-013-9622-7openalex-snapshot

The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository

inferredcites →https://doi.org/10.1007/s11306-010-0232-9openalex-snapshot

Learning to predict cancer-associated skeletal muscle wasting from 1H-NMR profiles of urinary metabolites

inferredcites →https://doi.org/10.1007/s11306-010-0270-3openalex-snapshot

Bioinformatics tools for cancer metabolomics

inferredcites →https://doi.org/10.1007/s12032-022-01815-8openalex-snapshot

A critical review of datasets and computational suites for improving cancer theranostics and biomarker discovery

inferredcites →https://doi.org/10.1016/b978-0-12-804659-3.00001-4openalex-snapshot

Overview and Principles of Bioengineering

inferredcites →https://doi.org/10.1016/b978-0-12-816125-8.00019-5openalex-snapshot

In Silico Modeling of FDA-Approved Drugs for Discovery of Anti-Cancer Agents: A Drug-Repurposing Approach

inferredcites →https://doi.org/10.1016/b978-0-12-818607-7.00024-4openalex-snapshot

Cell surface protein enrichment for biomarker and drug target discovery using mass spectrometry-based proteomics

inferredcites →https://doi.org/10.1016/j.ajhg.2024.05.014openalex-snapshot

CanCellVar: A database for single-cell variants map in human cancer

inferredcites →https://doi.org/10.1016/j.bmhimx.2016.10.006openalex-snapshot

Application of computational methods for anticancer drug discovery, design, and optimization

inferredcites →https://doi.org/10.1016/j.ccell.2016.06.022openalex-snapshot

High-throughput Phenotyping of Lung Cancer Somatic Mutations

inferredcites →https://doi.org/10.1016/j.ccell.2020.09.014openalex-snapshot

Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells

inferredcites →https://doi.org/10.1016/j.cell.2013.08.003openalex-snapshot

An Interactive Resource to Identify Cancer Genetic and Lineage Dependencies Targeted by Small Molecules

inferredcites →https://doi.org/10.1016/j.cell.2017.06.010openalex-snapshot

Defining a Cancer Dependency Map

inferredcites →https://doi.org/10.1016/j.celrep.2022.110400openalex-snapshot

Systematic illumination of druggable genes in cancer genomes

inferredcites →https://doi.org/10.1016/j.compbiomed.2022.105459openalex-snapshot

ME-ACP: Multi-view neural networks with ensemble model for identification of anticancer peptides

inferredcites →https://doi.org/10.1016/j.compbiomed.2022.106140openalex-snapshot

A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence

inferredcites →https://doi.org/10.1016/j.csbj.2020.08.019openalex-snapshot

Artificial intelligence (AI) and big data in cancer and precision oncology

inferredcites →https://doi.org/10.1016/j.csbj.2021.01.009openalex-snapshot

Multi-omics approaches in cancer research with applications in tumor subtyping, prognosis, and diagnosis

inferredcites →https://doi.org/10.1016/j.csbj.2021.07.003openalex-snapshot

Machine learning in the prediction of cancer therapy

inferredcites →https://doi.org/10.1016/j.csbj.2022.07.026openalex-snapshot

CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins

inferredcites →https://doi.org/10.1016/j.csbj.2022.07.043openalex-snapshot

MLACP 2.0: An updated machine learning tool for anticancer peptide prediction

inferredcites →https://doi.org/10.1016/j.ejmech.2023.115401openalex-snapshot

DeepCancerMap: A versatile deep learning platform for target- and cell-based anticancer drug discovery

inferredcites →https://doi.org/10.1016/j.ejphar.2018.07.034openalex-snapshot

Molecular targeted therapy: Treating cancer with specificity

inferredcites →https://doi.org/10.1016/j.iotech.2022.100128openalex-snapshot

23P Enriching for response: Patient selection criteria for A2AR inhibition by EXS-21546 through ex vivo modelling in primary patient material

inferredcites →https://doi.org/10.1016/j.isci.2018.11.029openalex-snapshot

CellMinerCDB for Integrative Cross-Database Genomics and Pharmacogenomics Analyses of Cancer Cell Lines

inferredcites →https://doi.org/10.1016/j.jasms.2003.12.011openalex-snapshot

A new technique (COMSPARI) to facilitate the identification of minor compounds in complex mixtures by GC/MS and LC/MS: tools for the visualization of matched datasets

inferredcites →https://doi.org/10.1016/j.jgg.2021.03.007openalex-snapshot

Large-scale pharmacogenomic studies and drug response prediction for personalized cancer medicine

inferredcites →https://doi.org/10.1016/j.omtn.2019.04.025openalex-snapshot

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation

inferredcites →https://doi.org/10.1016/j.omtn.2020.10.005openalex-snapshot

DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm

inferredcites →https://doi.org/10.1016/j.phrs.2023.106830openalex-snapshot

Machine learning model for anti-cancer drug combinations: Analysis, prediction, and validation

inferredcites →https://doi.org/10.1016/j.semcancer.2019.09.023openalex-snapshot

Computer-aided drug repurposing for cancer therapy: Approaches and opportunities to challenge anticancer targets

inferredcites →https://doi.org/10.1016/j.semcancer.2020.09.007openalex-snapshot

Transcriptomics and solid tumors: The next frontier in precision cancer medicine

inferredcites →https://doi.org/10.1016/j.semcancer.2022.12.009openalex-snapshot

Artificial intelligence-based multi-omics analysis fuels cancer precision medicine

inferredcites →https://doi.org/10.1016/j.soncn.2019.08.002openalex-snapshot

Cancer and the Immune System: The History and Background of Immunotherapy

inferredcites →https://doi.org/10.1016/j.ygyno.2010.10.003openalex-snapshot

A gene signature-based approach identifies thioridazine as an inhibitor of phosphatidylinositol-3′-kinase (PI3K)/AKT pathway in ovarian cancer cells

inferredcites →https://doi.org/10.1016/j.ymeth.2019.02.009openalex-snapshot

Deep-Resp-Forest: A deep forest model to predict anti-cancer drug response

inferredcites →https://doi.org/10.1016/s1367-5931(02)00015-7openalex-snapshot

Overview of structural genomics: from structure to function

inferredcites →https://doi.org/10.1016/s1535-6108(02)00026-0openalex-snapshot

Cancer genomics

inferredcites →https://doi.org/10.1021/acs.jcim.1c00181openalex-snapshot

xDeep-AcPEP: Deep Learning Method for Anticancer Peptide Activity Prediction Based on Convolutional Neural Network and Multitask Learning

inferredcites →https://doi.org/10.1021/acs.jcim.1c00706openalex-snapshot

HiDRA: Hierarchical Network for Drug Response Prediction with Attention

inferredcites →https://doi.org/10.1021/acs.jproteome.1c00612openalex-snapshot

EXCESP: A Structure-Based Online Database for Extracellular Interactome of Cell Surface Proteins in Humans

inferredcites →https://doi.org/10.1021/acs.jproteome.5b01091openalex-snapshot

A Description of the Clinical Proteomic Tumor Analysis Consortium (CPTAC) Common Data Analysis Pipeline

inferredcites →https://doi.org/10.1021/acs.molpharmaceut.8b00930openalex-snapshot

Artificial Intelligence for Drug Discovery, Biomarker Development, and Generation of Novel Chemistry

inferredcites →https://doi.org/10.1021/ci00021a032openalex-snapshot

National Cancer Institute Drug Information System 3D Database

inferredcites →https://doi.org/10.1021/ci049714+openalex-snapshot

ZINC − A Free Database of Commercially Available Compounds for Virtual Screening

inferredcites →https://doi.org/10.1021/ed100697wopenalex-snapshot

ChemSpider: An Online Chemical Information Resource

inferredcites →https://doi.org/10.1021/pr501254jopenalex-snapshot

The CPTAC Data Portal: A Resource for Cancer Proteomics Research

inferredcites →https://doi.org/10.1038/80697openalex-snapshot

An overview of structural genomics.

inferredcites →https://doi.org/10.1038/nature11003openalex-snapshot

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity

inferredcites →https://doi.org/10.1038/nchembio840openalex-snapshot

New approaches to molecular cancer therapeutics

inferredcites →https://doi.org/10.1038/ng.2653openalex-snapshot

The Genotype-Tissue Expression (GTEx) project

inferredcites →https://doi.org/10.1038/ng.3538openalex-snapshot

Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets

inferredcites →https://doi.org/10.1038/ni.3200openalex-snapshot

Identification of cDC1- and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow

inferredcites →https://doi.org/10.1038/nm.2323openalex-snapshot

Cancer genomics: from discovery science to personalized medicine

inferredcites →https://doi.org/10.1038/nmeth.2650openalex-snapshot

TCPA: a resource for cancer functional proteomics data

inferredcites →https://doi.org/10.1038/nrc1043openalex-snapshot

Proteomic applications for the early detection of cancer

inferredcites →https://doi.org/10.1038/nrc1317openalex-snapshot

Microtubules as a target for anticancer drugs

inferredcites →https://doi.org/10.1038/nrc1951openalex-snapshot

The NCI60 human tumour cell line anticancer drug screen

inferredcites →https://doi.org/10.1038/nrc3153openalex-snapshot

Novel cancer immunotherapy agents with survival benefit: recent successes and next steps

inferredcites →https://doi.org/10.1038/nrd2684openalex-snapshot

Genomic-scale prioritization of drug targets: the TDR Targets database

inferredcites →https://doi.org/10.1038/nrd892openalex-snapshot

The druggable genome

inferredcites →https://doi.org/10.1038/onc.2016.489openalex-snapshot

Utilizing somatic mutation data from numerous studies for cancer research: proof of concept and applications

inferredcites →https://doi.org/10.1038/s41392-022-00994-0openalex-snapshot

Artificial intelligence in cancer target identification and drug discovery

inferredcites →https://doi.org/10.1038/s41467-019-10744-6openalex-snapshot

A genome-wide positioning systems network algorithm for in silico drug repurposing

inferredcites →https://doi.org/10.1038/s41467-019-13582-8openalex-snapshot

ProTargetMiner as a proteome signature library of anticancer molecules for functional discovery

inferredcites →https://doi.org/10.1038/s41467-022-30342-3openalex-snapshot

Proteogenomic characterization of 2002 human cancers reveals pan-cancer molecular subtypes and associated pathways

inferredcites →https://doi.org/10.1038/s41568-018-0060-1openalex-snapshot

The COSMIC Cancer Gene Census: describing genetic dysfunction across all human cancers

inferredcites →https://doi.org/10.1038/s41586-019-1186-3openalex-snapshot

Next-generation characterization of the Cancer Cell Line Encyclopedia

inferredcites →https://doi.org/10.1038/s41586-021-03819-2openalex-snapshot

Highly accurate protein structure prediction with AlphaFold

inferredcites →https://doi.org/10.1038/s41588-021-00791-5openalex-snapshot

The NCI Genomic Data Commons

inferredcites →https://doi.org/10.1038/s41592-018-0020-4openalex-snapshot

A pan-cancer atlas

inferredcites →https://doi.org/10.1038/s41598-017-00535-8openalex-snapshot

The gene expression profiles in response to 102 traditional Chinese medicine (TCM) components: a general template for research on TCMs

inferredcites →https://doi.org/10.1038/s41598-018-27214-6openalex-snapshot

Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature

inferredcites →https://doi.org/10.1038/s41598-019-40629-zopenalex-snapshot

TACCO, a Database Connecting Transcriptome Alterations, Pathway Alterations and Clinical Outcomes in Cancers

inferredcites →https://doi.org/10.1038/s41598-019-45236-6openalex-snapshot

In-silico Prediction of Synergistic Anti-Cancer Drug Combinations Using Multi-omics Data

inferredcites →https://doi.org/10.1038/s41598-020-70969-0openalex-snapshot

High levels of ubidecarenone (oxidized CoQ10) delivered using a drug-lipid conjugate nanodispersion (BPM31510) differentially affect redox status and growth in malignant glioma versus non-tumor cells

inferredcites →https://doi.org/10.1038/s41598-020-71257-7openalex-snapshot

ADRML: anticancer drug response prediction using manifold learning

inferredcites →https://doi.org/10.1038/s41598-021-95128-xopenalex-snapshot

A stacking ensemble deep learning approach to cancer type classification based on TCGA data

inferredcites →https://doi.org/10.1038/s41598-023-29644-3openalex-snapshot

DeepInsight-3D architecture for anti-cancer drug response prediction with deep-learning on multi-omics

inferredcites →https://doi.org/10.1038/s41698-020-0122-1openalex-snapshot

Machine learning approaches to drug response prediction: challenges and recent progress

inferredcites →https://doi.org/10.1038/s42255-019-0032-0openalex-snapshot

Metabolic signatures of cancer cells and stem cells

inferredcites →https://doi.org/10.1038/s43018-021-00282-wopenalex-snapshot

The Cancer Surfaceome Atlas integrates genomic, functional and drug response data to identify actionable targets

inferredcites →https://doi.org/10.1038/s44222-023-00069-xopenalex-snapshot

Artificial intelligence identifies new cancer biomarkers

inferredcites →https://doi.org/10.1038/sj.bjc.6601894openalex-snapshot

The COSMIC (Catalogue of Somatic Mutations in Cancer) database and website

inferredcites →https://doi.org/10.1038/sj.leu.2402464openalex-snapshot

Developmental Therapeutics Program at the NCI: molecular target and drug discovery process

inferredcites →https://doi.org/10.1038/srep01445openalex-snapshot

CancerDR: Cancer Drug Resistance Database

inferredcites →https://doi.org/10.1039/d2sc05709copenalex-snapshot

AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor

inferredcites →https://doi.org/10.1042/bcj20160583openalex-snapshot

Topoisomerases as anticancer targets

inferredcites →https://doi.org/10.1073/pnas.1501597112openalex-snapshot

Connectivity Map-based discovery of parbendazole reveals targetable human osteogenic pathway

inferredcites →https://doi.org/10.1074/mcp.r900006-mcp200openalex-snapshot

Plasma Membrane Proteomics and Its Application in Clinical Cancer Biomarker Discovery

inferredcites →https://doi.org/10.1080/14789450.2018.1429924openalex-snapshot

Cell-surface proteomics for the identification of novel therapeutic targets in cancer

inferredcites →https://doi.org/10.1080/14789450.2020.1831387openalex-snapshot

De novo sequencing of proteins by mass spectrometry

inferredcites →https://doi.org/10.1080/17460441.2019.1637414openalex-snapshot

Transforming cancer drug discovery with Big Data and AI

inferredcites →https://doi.org/10.1080/21691401.2019.1648283openalex-snapshot

MiR-629-3p-induced downregulation of SFTPC promotes cell proliferation and predicts poor survival in lung adenocarcinoma

inferredcites →https://doi.org/10.1093/bib/bbab048openalex-snapshot

DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration

inferredcites →https://doi.org/10.1093/bib/bbad142openalex-snapshot

Decoding Connectivity Map-based drug repurposing for oncotherapy

inferredcites →https://doi.org/10.1093/bib/bbs017openalex-snapshot

Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration

inferredcites →https://doi.org/10.1093/bib/bbw112openalex-snapshot

A review of connectivity map and computational approaches in pharmacogenomics

inferredcites →https://doi.org/10.1093/bib/bbz121openalex-snapshot

A comparative study of multi-omics integration tools for cancer driver gene identification and tumour subtyping

inferredcites →https://doi.org/10.1093/bib/bbz122openalex-snapshot

An omics perspective on drug target discovery platforms

inferredcites →https://doi.org/10.1093/bib/bbz171openalex-snapshot

Deep learning for drug response prediction in cancer

inferredcites →https://doi.org/10.1093/bioinformatics/btaa092openalex-snapshot

SurfaceGenie: a web-based application for prioritizing cell-type-specific marker candidates

inferredcites →https://doi.org/10.1093/bioinformatics/btp697openalex-snapshot

DCDB: Drug combination database

inferredcites →https://doi.org/10.1093/bioinformatics/btt014openalex-snapshot

miRCancer: a microRNA–cancer association database constructed by text mining on literature

inferredcites →https://doi.org/10.1093/bioinformatics/btw228openalex-snapshot

Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

inferredcites →https://doi.org/10.1093/bioinformatics/bty451openalex-snapshot

ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides

inferredcites →https://doi.org/10.1093/bioinformatics/btz965openalex-snapshot

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

inferredcites →https://doi.org/10.1093/chromsci/bmw167openalex-snapshot

Proteomics: Technologies and Their Applications

inferredcites →https://doi.org/10.1093/database/baaa004openalex-snapshot

dbPepNeo: a manually curated database for human tumor neoantigen peptides

inferredcites →https://doi.org/10.1093/database/baaa094openalex-snapshot

CMBD: a manually curated cancer metabolic biomarker knowledge database

inferredcites →https://doi.org/10.1093/database/bar026openalex-snapshot

International Cancer Genome Consortium Data Portal--a one-stop shop for cancer genomics data

inferredcites →https://doi.org/10.1093/database/bax054openalex-snapshot

CTD2 Dashboard: a searchable web interface to connect validated results from the Cancer Target Discovery and Development Network

inferredcites →https://doi.org/10.1093/database/baz156openalex-snapshot

RBPTD: a database of cancer-related RNA-binding proteins in humans

inferredcites →https://doi.org/10.1093/gigascience/giac087openalex-snapshot

SYNPRED: prediction of drug combination effects in cancer using different synergy metrics and ensemble learning

inferredcites →https://doi.org/10.1093/hesc/9780198754831.001.0001openalex-snapshot

Introduction to Genomics

inferredcites →https://doi.org/10.1093/nar/27.1.29openalex-snapshot

KEGG: Kyoto Encyclopedia of Genes and Genomes

inferredcites →https://doi.org/10.1093/nar/28.1.27openalex-snapshot

KEGG: Kyoto Encyclopedia of Genes and Genomes

inferredcites →https://doi.org/10.1093/nar/30.1.163openalex-snapshot

PharmGKB: the Pharmacogenetics Knowledge Base

inferredcites →https://doi.org/10.1093/nar/30.1.207openalex-snapshot

Gene Expression Omnibus: NCBI gene expression and hybridization array data repository

inferredcites →https://doi.org/10.1093/nar/30.1.412openalex-snapshot

TTD: Therapeutic Target Database

inferredcites →https://doi.org/10.1093/nar/gkaa1059openalex-snapshot

canSAR: update to the cancer translational research and drug discovery knowledgebase

inferredcites →https://doi.org/10.1093/nar/gkaa1084openalex-snapshot

Integration of the Drug–Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts

inferredcites →https://doi.org/10.1093/nar/gkaa805openalex-snapshot

CancerImmunityQTL: a database to systematically evaluate the impact of genetic variants on immune infiltration in human cancer

inferredcites →https://doi.org/10.1093/nar/gkaa968openalex-snapshot

CellMiner Cross-Database (CellMinerCDB) version 1.2: Exploration of patient-derived cancer cell line pharmacogenomics

inferredcites →https://doi.org/10.1093/nar/gkab1011openalex-snapshot

HIT 2.0: an enhanced platform for Herbal Ingredients' Targets

inferredcites →https://doi.org/10.1093/nar/gkab1061openalex-snapshot

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

inferredcites →https://doi.org/10.1093/nar/gkab1062openalex-snapshot

HMDB 5.0: the Human Metabolome Database for 2022

inferredcites →https://doi.org/10.1093/nar/gkab382openalex-snapshot

MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights

inferredcites →https://doi.org/10.1093/nar/gkab860openalex-snapshot

CTR-DB, an omnibus for patient-derived gene expression signatures correlated with cancer drug response

inferredcites →https://doi.org/10.1093/nar/gkab970openalex-snapshot

OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer

inferredcites →https://doi.org/10.1093/nar/gkac1004openalex-snapshot

canSAR: update to the cancer translational research and drug discovery knowledgebase

inferredcites →https://doi.org/10.1093/nar/gkac911openalex-snapshot

CREAMMIST: an integrative probabilistic database for cancer drug response prediction

inferredcites →https://doi.org/10.1093/nar/gki070openalex-snapshot

The Universal Protein Resource (UniProt)

inferredcites →https://doi.org/10.1093/nar/gkj067openalex-snapshot

DrugBank: a comprehensive resource for in silico drug discovery and exploration

inferredcites →https://doi.org/10.1093/nar/gkm324openalex-snapshot

LIPID MAPS online tools for lipid research

inferredcites →https://doi.org/10.1093/nar/gkm795openalex-snapshot

STITCH: interaction networks of chemicals and proteins

inferredcites →https://doi.org/10.1093/nar/gkn714openalex-snapshot

miR2Disease: a manually curated database for microRNA deregulation in human disease

inferredcites →https://doi.org/10.1093/nar/gkp1002openalex-snapshot

SMPDB: The Small Molecule Pathway Database

inferredcites →https://doi.org/10.1093/nar/gkr1162openalex-snapshot

MMDB: 3D structures and macromolecular interactions

inferredcites →https://doi.org/10.1093/nar/gkr777openalex-snapshot

ChEMBL: a large-scale bioactivity database for drug discovery

inferredcites →https://doi.org/10.1093/nar/gks1111openalex-snapshot

Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells

inferredcites →https://doi.org/10.1093/nar/gks1193openalex-snapshot

NCBI GEO: archive for functional genomics data sets—update

inferredcites →https://doi.org/10.1093/nar/gkt1182openalex-snapshot

canSAR: updated cancer research and drug discovery knowledgebase

inferredcites →https://doi.org/10.1093/nar/gku892openalex-snapshot

CancerPPD: a database of anticancer peptides and proteins

inferredcites →https://doi.org/10.1093/nar/gkv1030openalex-snapshot

canSAR: an updated cancer research and drug discovery knowledgebase

inferredcites →https://doi.org/10.1093/nar/gkv1128openalex-snapshot

ccmGDB: a database for cancer cell metabolism genes

inferredcites →https://doi.org/10.1093/nar/gkv1178openalex-snapshot

GPCRdb: an information system for G protein-coupled receptors

inferredcites →https://doi.org/10.1093/nar/gkv1351openalex-snapshot

The Reactome pathway Knowledgebase

inferredcites →https://doi.org/10.1093/nar/gkv951openalex-snapshot

PubChem Substance and Compound databases

inferredcites →https://doi.org/10.1093/nar/gkw1055openalex-snapshot

Open Targets: a platform for therapeutic target identification and validation

inferredcites →https://doi.org/10.1093/nar/gkw993openalex-snapshot

DrugCentral: online drug compendium

inferredcites →https://doi.org/10.1093/nar/gkx1090openalex-snapshot

LinkedOmics: analyzing multi-omics data within and across 32 cancer types

inferredcites →https://doi.org/10.1093/nar/gkx346openalex-snapshot

BepiPred-2.0: improving sequence-based B-cell epitope prediction using conformational epitopes

inferredcites →https://doi.org/10.1093/nar/gkx911openalex-snapshot

PharmacoDB: an integrative database for mining in vitro anticancer drug screening studies

inferredcites →https://doi.org/10.1093/nar/gkx935openalex-snapshot

The MetaCyc database of metabolic pathways and enzymes

inferredcites →https://doi.org/10.1093/nar/gky1015openalex-snapshot

COSMIC: the Catalogue Of Somatic Mutations In Cancer

inferredcites →https://doi.org/10.1093/nar/gky1129openalex-snapshot

canSAR: update to the cancer translational research and drug discovery knowledgebase

inferredcites →https://doi.org/10.1093/nar/gky954openalex-snapshot

CancerSplicingQTL: a database for genome-wide identification of splicing QTLs in human cancer

inferredcites →https://doi.org/10.1093/nar/gkz1031openalex-snapshot

The reactome pathway knowledgebase

inferredcites →https://doi.org/10.1101/gad.314617.118openalex-snapshot

Roles of the immune system in cancer: from tumor initiation to metastatic progression

inferredcites →https://doi.org/10.1101/gr.1239303openalex-snapshot

Cytoscape: A Software Environment for Integrated Models of Biomolecular Interaction Networks

inferredcites →https://doi.org/10.1101/gr.5963407openalex-snapshot

Systematic analysis of genetic alterations in tumors using Cancer Genome WorkBench (CGWB)

inferredcites →https://doi.org/10.1107/s0907444998009378openalex-snapshot

Protein Data Bank (PDB): Database of Three-Dimensional Structural Information of Biological Macromolecules

inferredcites →https://doi.org/10.1109/tcbb.2016.2550432openalex-snapshot

Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources

inferredcites →https://doi.org/10.1109/tcbb.2019.2919581openalex-snapshot

DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines

inferredcites →https://doi.org/10.1111/cge.13187openalex-snapshot

Genetic association of molecular traits: A help to identify causative variants in complex diseases

inferredcites →https://doi.org/10.1111/joim.12321openalex-snapshot

Pharmacogenomic biomarkers for personalized cancer treatment

inferredcites →https://doi.org/10.1126/science.1132939openalex-snapshot

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

inferredcites →https://doi.org/10.1126/scisignal.2004088openalex-snapshot

Integrative Analysis of Complex Cancer Genomics and Clinical Profiles Using the cBioPortal

inferredcites →https://doi.org/10.1128/mcb.00305-08openalex-snapshot

A Gene Signature-Based Approach Identifies mTOR as a Regulator of p73

inferredcites →https://doi.org/10.1136/amiajnl-2012-001469openalex-snapshot

Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

inferredcites →https://doi.org/10.1136/jitc-2020-001247openalex-snapshot

Checkpoint therapeutic target database (CKTTD): the first comprehensive database for checkpoint targets and their modulators in cancer immunotherapy

inferredcites →https://doi.org/10.1146/annurev-immunol-020711-074934openalex-snapshot

Immune Regulatory Function of B Cells

inferredcites →https://doi.org/10.1155/2014/238045openalex-snapshot

Advances in Proteomic Technologies and Its Contribution to the Field of Cancer

inferredcites →https://doi.org/10.1158/0008-5472.can-16-1040openalex-snapshot

Proteasome Addiction Defined in Ewing Sarcoma Is Effectively Targeted by a Novel Class of 19S Proteasome Inhibitors

showing the first 200 of 277

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.5505018openalex-extracted

Artificial Intelligence and Machine Learning in Pharmaceutical Sciences: Unpacking Regulatory Guidance, Opportunities, and Challenges for Safe and Effective Drug Development

inferred← citeshttps://doi.org/10.1007/978-3-032-15493-4_11openalex-snapshot

Automated Real-Time Screening of Phytochemicals and Cancer Therapeutics

inferred← citeshttps://doi.org/10.1007/s10142-025-01792-xopenalex-snapshot

ETS Homologous Factor (EHF) and Gamma Linolenic Acid (GLA): novel strategies for early diagnosis and treatment of endometriosis

inferred← citeshttps://doi.org/10.1007/s11030-025-11241-3openalex-snapshot

Computational theranostics strategy for pancreatic ductal adenocarcinoma

inferred← citeshttps://doi.org/10.1007/s44163-026-01249-5openalex-snapshot

Bibliometric analysis of artificial intelligence application in bioinformatics

inferred← citeshttps://doi.org/10.1007/s44196-026-01164-8openalex-snapshot

A Review on the Applications and Implications of Artificial Intelligence and Machine Learning in Oncology

inferred← citeshttps://doi.org/10.1016/bs.pmbts.2026.01.026openalex-snapshot

Artificial intelligence in multi-omics analysis of small-molecule drug discovery

inferred← citeshttps://doi.org/10.1016/j.bbrc.2026.154590openalex-snapshot

Integrative predictive modelling and multi-omics validation reveals potential indicators of clinical heterogeneity in HCC

inferred← citeshttps://doi.org/10.1016/j.insi.2026.100564openalex-snapshot

Explainable AI for automated pancreatic cancer detection from CT imaging data

inferred← citeshttps://doi.org/10.1016/j.premed.2025.100003openalex-snapshot

Redefining precision medicine in hepatocellular carcinoma through omics, translational, and AI-based innovations

inferred← citeshttps://doi.org/10.1080/07357907.2025.2575338openalex-snapshot

Decoding Cervical Cancer Biomarkers: An Integrated Framework of Bioinformatics, Machine Learning, and Experimental Confirmation

inferred← citeshttps://doi.org/10.1186/s43042-025-00779-4openalex-snapshot

Integrative bioinformatics, statistical, and survival analysis reveals potential molecular biomarkers of ovarian cancer

inferred← citeshttps://doi.org/10.4018/979-8-3373-4923-7.ch012openalex-snapshot

The Future of Respiratory Bioinformatics

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.