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Designing of promiscuous inhibitors against pancreatic cancer cell lines
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.ccr.2006.10.008openalex-snapshot
A collection of breast cancer cell lines for the study of functionally distinct cancer subtypes
inferredcites →https://doi.org/10.1016/j.ctrv.2009.02.005openalex-snapshot
Pancreatic cancer: Current and future treatment strategies
inferredcites →https://doi.org/10.1016/s0960-7404(97)00025-xopenalex-snapshot
Advances in the early detection, diagnosis, and staging of pancreatic cancer
inferredcites →https://doi.org/10.1038/msb.2009.69openalex-snapshot
Harnessing gene expression to identify the genetic basis of drug resistance
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/nature11005openalex-snapshot
Systematic identification of genomic markers of drug sensitivity in cancer cells
inferredcites →https://doi.org/10.1038/nature12831openalex-snapshot
Inconsistency in large pharmacogenomic studies
inferredcites →https://doi.org/10.1038/nm.2305openalex-snapshot
Cancer epigenetics reaches mainstream oncology
inferredcites →https://doi.org/10.1038/nm.2758openalex-snapshot
A high-throughput drug screen for Entamoeba histolytica identifies a new lead and target
inferredcites →https://doi.org/10.1038/nrd1468openalex-snapshot
Drug repositioning: identifying and developing new uses for existing drugs
inferredcites →https://doi.org/10.1038/nrd4128openalex-snapshot
Chemical predictive modelling to improve compound quality
inferredcites →https://doi.org/10.1038/srep01445openalex-snapshot
CancerDR: Cancer Drug Resistance Database
inferredcites →https://doi.org/10.1038/srep04197openalex-snapshot
PCMdb: Pancreatic Cancer Methylation Database
inferredcites →https://doi.org/10.1093/aje/kwk006openalex-snapshot
Logic Regression for Analysis of the Association between Genetic Variation in the Renin-Angiotensin System and Myocardial Infarction or Stroke
inferredcites →https://doi.org/10.1093/bioinformatics/bth261openalex-snapshot
Data mining in bioinformatics using Weka
inferredcites →https://doi.org/10.1109/tnn.2006.875989openalex-snapshot
Parallel Sequential Minimal Optimization for the Training of Support Vector Machines
inferredcites →https://doi.org/10.1111/j.1365-2036.2003.01781.xopenalex-snapshot
Chemotherapy for pancreatic cancer
inferredcites →https://doi.org/10.1111/j.1600-0463.2007.apm_636.xml.xopenalex-snapshot
Epigenetic changes in cancer
inferredcites →https://doi.org/10.1158/0008-5472.can-07-6102openalex-snapshot
Targeted Delivery of Gemcitabine to Pancreatic Adenocarcinoma Using Cetuximab as a Targeting Agent
inferredcites →https://doi.org/10.1158/0008-5472.can-10-4351openalex-snapshot
Identification of the MEK1(F129L) Activating Mutation as a Potential Mechanism of Acquired Resistance to MEK Inhibition in Human Cancers Carrying the B-Raf V600E Mutation
inferredcites →https://doi.org/10.1158/0008-5472.can-12-1370openalex-snapshot
CellMiner: A Web-Based Suite of Genomic and Pharmacologic Tools to Explore Transcript and Drug Patterns in the NCI-60 Cell Line Set
inferredcites →https://doi.org/10.1158/1535-7163.mct-09-0743openalex-snapshot
Integrative Analysis of Proteomic Signatures, Mutations, and Drug Responsiveness in the NCI 60 Cancer Cell Line Set
inferredcites →https://doi.org/10.1186/1758-2946-3-33openalex-snapshot
Open Babel: An open chemical toolbox
inferredcites →https://doi.org/10.1517/14728222.2011.566216openalex-snapshot
Overcoming drug resistance in pancreatic cancer
inferredcites →https://doi.org/10.1586/era.10.148openalex-snapshot
Challenges of drug resistance in the management of pancreatic cancer
inferredcites →https://doi.org/10.2174/138920208785699580openalex-snapshot
Cause and Consequences of Genetic and Epigenetic Alterations in Human Cancer
inferredcites →https://doi.org/10.3892/or_00000749openalex-snapshot
Metastatic pancreatic cancer: Is gemcitabine still the best standard treatment? (Review)
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.4934385openalex-extracted
Qsar Modeling of Pancreatic Cancer Drug Combinations: A Machine and Deep Learning Study
inferred← citeshttps://doi.org/10.1002/minf.201400139openalex-snapshot
Cheminformatics Based Machine Learning Models for AMA1‐RON2 Abrogators for Inhibiting Plasmodium falciparum Erythrocyte Invasion
inferred← citeshttps://doi.org/10.1007/978-981-97-0885-7_8openalex-snapshot
Predicting Cell Line-Specific Synergistic Drug Combinations Through Siamese Network with Attention Mechanism
inferred← citeshttps://doi.org/10.1016/j.patcog.2025.112501openalex-snapshot
Conformal prediction of molecule-induced cancer cell growth inhibition challenged by strong distribution shifts
inferred← citeshttps://doi.org/10.1016/j.rechem.2024.101734openalex-snapshot
Multicellular target QSAR models for predicting of novel inhibitors against pancreatic cancer by Monte Carlo approach
inferred← citeshttps://doi.org/10.1021/acs.jcim.1c00168openalex-snapshot
pdCSM-cancer: Using Graph-Based Signatures to Identify Small Molecules with Anticancer Properties
inferred← citeshttps://doi.org/10.1021/acsomega.4c01195openalex-snapshot
Support Vector Machine-Based Prediction Models for Drug Repurposing and Designing Novel Drugs for Colorectal Cancer
inferred← citeshttps://doi.org/10.1021/acsomega.8b03693openalex-snapshot
Multicellular Target QSAR Model for Simultaneous Prediction and Design of Anti-Pancreatic Cancer Agents
inferred← citeshttps://doi.org/10.1038/s41598-025-16575-4openalex-snapshot
ACLPred: an explainable machine learning and tree-based ensemble model for anticancer ligand prediction
inferred← citeshttps://doi.org/10.1111/cbdd.12834openalex-snapshot
AVC pred: an integrated web server for prediction and design of antiviral compounds
inferred← citeshttps://doi.org/10.1186/s12885-016-2082-yopenalex-snapshot
Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines
inferred← citeshttps://doi.org/10.1186/s12920-018-0336-zopenalex-snapshot
Unearthing new genomic markers of drug response by improved measurement of discriminative power
inferred← citeshttps://doi.org/10.12688/f1000research.10529.1openalex-snapshot
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data
inferred← citeshttps://doi.org/10.12688/f1000research.10529.2openalex-snapshot
Systematic assessment of multi-gene predictors of pan-cancer cell line sensitivity to drugs exploiting gene expression data
inferred← citeshttps://doi.org/10.18632/oncotarget.20923openalex-snapshot
Precision and recall oncology: combining multiple gene mutations for improved identification of drug-sensitive tumours
inferred← citeshttps://doi.org/10.22159/ajpcr.2017.v10s4.21346openalex-snapshot
DESIGN AND ANTICANCER ACTIVITY PREDICTION OF DIHYROPYRIMIDINONE BASED NOVEL INHIBITORS OF P53-MDM2 INTERACTION
inferred← citeshttps://doi.org/10.33333/rp.vol46n1.01openalex-snapshot
Compuestos Fitoquímicos Dirigidos al Bloqueo de la Polimerasa Viral del SARS-CoV-2 Causante del COVID-19: un Análisis Comparativo de Funciones de Puntuación para Acoplamientos con Interés Biomédico
inferred← citeshttps://doi.org/10.3389/fchem.2019.00509openalex-snapshot
Predicting Synergism of Cancer Drug Combinations Using NCI-ALMANAC Data
inferred← citeshttps://doi.org/10.3390/ph13110409openalex-snapshot
A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing
inferred← citeshttps://doi.org/10.55262/fabadeczacilik.1351725openalex-snapshot
In Silico and In Vitro Anticancer Effects of Caffeic Acid Phenethyl Ester on Pancreatic Adenocarcinoma Cells
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