G. Papadatos

发表

Target Prediction for an Open Access Set of Compounds Active against Mycobacterium tuberculosis

Marc A. Martí-Renom, George Papadatos, Vinod Kumar, 2013, PLoS Comput. Biol..

Patterns of database citation in articles and patents indicate long-term scientific and industry value of biological data resources

George Papadatos, Alex Bateman, Sameer Velankar, 2016, F1000Research.

Target Identification of Mycobacterium tuberculosis Phenotypic Hits Using a Concerted Chemogenomic, Biophysical, and Structural Approach

George Papadatos, John P. Overington, Tom L. Blundell, 2017, Front. Pharmacol..

Mycobacterial Dihydrofolate Reductase Inhibitors Identified Using Chemogenomic Methods and In Vitro Validation

George Papadatos, John P. Overington, Grace Mugumbate, 2015, PloS one.

Interobserver variability in clinical target volume delineation in tangential breast irradiation: a comparison between radiation oncologists and radiation therapists.

L. Holloway, G. Papadatos, M. Jameson, 2011, Clinical oncology (Royal College of Radiologists (Great Britain)).

Comparison of Magnetic Resonance Imaging and Computed Tomography for Breast Target Volume Delineation in Prone and Supine Positions.

C. Moran, E. Pogson, L. Holloway, 2016, International journal of radiation oncology, biology, physics.

In silico applications of bioisosterism in contemporary medicinal chemistry practice

G. Papadatos, N. Brown, 2013 .

Hypofractionated versus conventionally fractionated radiotherapy for ductal carcinoma in situ (DCIS) of the breast

G. Papadatos, J. Descallar, M. Yap, 2016, Journal of medical imaging and radiation oncology.

Outcomes of Ethnic Minority Groups with Node-Positive, Non-Metastatic Breast Cancer in Two Tertiary Referral Canters in Sydney, Australia

G. Papadatos, J. Descallar, P. de Souza, 2014, PloS one.

Release of 50 new, drug-like compounds and their computational target predictions for open source anti-tubercular drug discovery

John P. Overington, James R. Brown, Robert H Bates, 2015, PloS one.

Probability of axillary node involvement in patients with tubular carcinoma of the breast

G. Papadatos, J. Boyages, O. Ung, 2002, The British journal of surgery.

ATM induction insufficiency in a radiosensitive breast-cancer patient.

G. Papadatos, C. S. Lee, R. Clarke, 2002, Australasian radiology.

Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond Citation

Alessandro, Serge, Tyler B. Hughes, 2016 .

USING CHEMOINFORMATICS TOOLS TO ANALYZE CHEMICAL ARRAYS IN LEAD OPTIMIZATION

Peter Willett, George Papadatos, Peter Willett, 2013 .

A document classifier for medicinal chemistry publications trained on the ChEMBL corpus

George Papadatos, Gerard J. P. van Westen, John P. Overington, 2014, Journal of Cheminformatics.

Unexplored therapeutic opportunities in the human genome

Anton Simeonov, Christian von Mering, Tudor I. Oprea, 2018, Nature Reviews Drug Discovery.

"It has never been easier to access structure-activity relationship data pertinent to a particular chemical series or linked to a specific biological target."

G. Papadatos, 2014 .

The ChEMBL database: a taster for medicinal chemists.

John P. Overington, George Papadatos, G. Papadatos, 2014, Future medicinal chemistry.

Women’s choice between sentinel lymph node biopsy and axillary clearance

G. Papadatos, C. Magarey, Peter Graham, 2002, ANZ journal of surgery.

The long term impact of breast cosmetic and functional outcomes on quality of life

G. Papadatos, J. Kearsley, E. Millar, 2012 .

Estimating a Delineation Uncertainty Margin to Account for Inter-observer Variability in Breast Cancer Radiotherapy

L. Holloway, G. Papadatos, M. Jameson, 2010 .

Open Source Drug Discovery with the Malaria Box Compound Collection for Neglected Diseases and Beyond

Manuel Llinás, George Papadatos, Sundari Suresh, 2016, PLoS pathogens.

The ChEMBL database in 2017

George Papadatos, Andrew R. Leach, Prudence Mutowo-Meullenet, 2016, Nucleic Acids Res..

The impact of imaging modality (CT vs MRI) and patient position (supine vs prone) on tangential whole breast radiation therapy planning.

E. Pogson, L. Holloway, P. Metcalfe, 2017, Practical radiation oncology.

Beyond the hype: deep neural networks outperform established methods using a ChEMBL bioactivity benchmark set

George Papadatos, Gerard J. P. van Westen, Adriaan P. IJzerman, 2017, bioRxiv.

Unprecedently Large-Scale Kinase Inhibitor Set Enabling the Accurate Prediction of Compound–Kinase Activities: A Way toward Selective Promiscuity by Design?

George Papadatos, Gerard J. P. van Westen, John P. Overington, 2016, J. Chem. Inf. Model..

Prediction of outcome of early ER+ breast cancer is improved using a biomarker panel, which includes Ki-67 and p53

S. O'toole, G. Papadatos, R. Sutherland, 2011, British Journal of Cancer.

ChEMBL web services: streamlining access to drug discovery data and utilities

George Papadatos, John P. Overington, Mark Davies, 2015, Nucleic Acids Res..

The ChEMBL bioactivity database: an update

George Papadatos, John P. Overington, Mark Davies, 2013, Nucleic Acids Res..

Unexplored therapeutic opportunities in the human genome

Anton Simeonov, Christian von Mering, Tudor I. Oprea, 2018, Nature Reviews Drug Discovery.

Prediction of local recurrence, distant metastases, and death after breast-conserving therapy in early-stage invasive breast cancer using a five-biomarker panel.

S. O'toole, G. Papadatos, R. Sutherland, 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

SureChEMBL: a large-scale, chemically annotated patent document database

George Papadatos, John P. Overington, Mark Davies, 2015, Nucleic Acids Res..

ADME SARfari: comparative genomics of drug metabolizing systems

Samiul Hasan, George Papadatos, John P. Overington, 2015, Bioinform..

Activity, assay and target data curation and quality in the ChEMBL database

George Papadatos, John P. Overington, Anne Hersey, 2015, Journal of Computer-Aided Molecular Design.

Evaluation of machine-learning methods for ligand-based virtual screening

George Papadatos, Peter Willett, Robert F. Harrison, 2007, J. Comput. Aided Mol. Des..

Open Source Drug Discovery: Highly Potent Antimalarial Compounds Derived from the Tres Cantos Arylpyrroles

Julie Clark, George Papadatos, Jeremy N. Burrows, 2016, ACS central science.

The impact of breast cosmetic and functional outcomes on quality of life: long-term results from the St. George and Wollongong randomized breast boost trial

G. Papadatos, J. Kearsley, E. Millar, 2013, Breast Cancer Research and Treatment.

Optimal Piecewise Linear Regression Algorithm for QSAR Modelling

George Papadatos, Sophia Tsoka, Jonathan Cardoso-Silva, 2018, Molecular informatics.

Medical Error - the Perspective of the Clinician and the Director of a Department Involved in an Error.

G. Papadatos, G. Delaney, 2017, Clinics in oncology.

Screening and hit evaluation of a chemical library against blood-stage Plasmodium falciparum

George Papadatos, Paul Willis, Jeremy N Burrows, 2014, Malaria Journal.

Waiting times for radiotherapy--a survey of patients' attitudes.

G. Papadatos, B. Jalaludin, M. Barton, 2004, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity

Visakan Kadirkamanathan, George Papadatos, Peter Willett, 2010, J. Chem. Inf. Model..

UniChem: extension of InChI-based compound mapping to salt, connectivity and stereochemistry layers

George Papadatos, John P. Overington, Mark Davies, 2014, Journal of Cheminformatics.

Mining for Context‐Sensitive Bioisosteric Replacements in Large Chemical Databases

Peter Willett, Valerie J. Gillet, Michael J. Bodkin, 2012 .

Shared Consensus Machine Learning Models for Predicting Blood Stage Malaria Inhibition

Julie Clark, Andreas Verras, Chris L. Waller, 2017, J. Chem. Inf. Model..

ChEMBLSpace - a graphical explorer of the chemogenomic space covered by the ChEMBL database

George Papadatos, David A. Evans, David A. Thorner, 2013, Bioinform..

ChEMBL Beaker: A Lightweight Web Framework Providing Robust and Extensible Cheminformatics Services

George Papadatos, John P. Overington, Mark Davies, 2014 .

A large-scale crop protection bioassay data set

George Papadatos, John P. Overington, Mark Davies, 2015, Scientific Data.

Managing expectations: assessment of chemistry databases generated by automated extraction of chemical structures from patents

George Papadatos, Anna Gaulton, Stefan Senger, 2015, Journal of Cheminformatics.

Semantic-Web Access to Patent Annotations

George Papadatos, John P. Overington, Stian Soiland-Reyes, 2015, SWAT4LS.

MyChEMBL: A Virtual Platform for Distributing Cheminformatics Tools and Open Data

George Papadatos, Gerard J. P. van Westen, John P. Overington, 2014, Challenges.

Prediction of local recurrence, distant metastases, and death after breast-conserving therapy in early-stage invasive breast cancer using a five-biomarker panel.

S. O'toole, G. Papadatos, R. Sutherland, 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Analysis of Neighborhood Behavior in Lead Optimization and Array Design

V. Kadirkamanathan, P. Willett, V. Gillet, 2009, Journal of Chemical Information and Modeling.