| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/jcheminf/SouthanVM09 |
| P6179 | Dimensions Publication ID | 1021412909 |
| P356 | DOI | 10.1186/1758-2946-1-10 |
| P932 | PMC publication ID | 3225862 |
| P698 | PubMed publication ID | 20298516 |
| P5875 | ResearchGate publication ID | 42344101 |
| P50 | author | Christopher Southan | Q28133217 |
| Sorel Muresan | Q29043209 | ||
| P2093 | author name string | Péter Várkonyi | |
| P2860 | cites work | The druggable genome | Q29547361 |
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| P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | pharmacology | Q128406 |
| database | Q8513 | ||
| P304 | page(s) | 10 | |
| P577 | publication date | 2009-07-06 | |
| P1433 | published in | Journal of Cheminformatics | Q6294930 |
| P1476 | title | Quantitative assessment of the expanding complementarity between public and commercial databases of bioactive compounds | |
| P478 | volume | 1 |
| Q59771352 | A new semi-automated workflow for chemical data retrieval and quality checking for modeling applications |
| Q44456428 | Analysis of Commercial and Public Bioactivity Databases |
| Q29042705 | Analysis of in vitro bioactivity data extracted from drug discovery literature and patents: Ranking 1654 human protein targets by assayed compounds and molecular scaffolds |
| Q94457419 | Applications Quantitative Structure-Activity Relationships (QSAR) based Virtual Screening in drug design: A Review |
| Q43112472 | Assessment of the significance of patent-derived information for the early identification of compound-target interaction hypotheses |
| Q31065255 | Big Data from Pharmaceutical Patents: A Computational Analysis of Medicinal Chemists' Bread and Butter |
| Q49928112 | Caveat usor: assessing differences between major chemistry databases |
| Q38060404 | Challenges and recommendations for obtaining chemical structures of industry-provided repurposing candidates |
| Q47348618 | Cheminformatics in the Service of GPCR Drug Discovery |
| Q63353663 | CoCoCo: a free suite of multiconformational chemical databases for high-throughput virtual screening purposes |
| Q56399614 | Collaborations in Chemistry |
| Q37564801 | Comparing the Chemical Structure and Protein Content of ChEMBL, DrugBank, Human Metabolome Database and the Therapeutic Target Database |
| Q35026552 | Estimating error rates in bioactivity databases |
| Q47893147 | Evidence-Based Precision Oncology with the Cancer Targetome. |
| Q33938092 | Exploiting PubChem for virtual screening |
| Q45224632 | Exploiting Structural Information in Patent Specifications for Key Compound Prediction |
| Q38915525 | Extensions to In Silico Bioactivity Predictions Using Pathway Annotations and Differential Pharmacology Analysis: Application to Xenopus laevis Phenotypic Readouts |
| Q101561400 | Extractable and Non-Extractable Antioxidants Composition in the eBASIS Database: A Key Tool for Dietary Assessment in Human Health and Disease Research |
| Q34165439 | Freely Accessible Databases of Commercial Compounds For High- Throughput Virtual Screenings |
| Q38394805 | In vitro, in silico and integrated strategies for the estimation of plasma protein binding. A review. |
| Q27701454 | Incorporating Commercial and Private Data into an Open Linked Data Platform for Drug Discovery |
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| Q47606414 | Innovation in Small-Molecule-Druggable Chemical Space: Where are the Initial Modulators of New Targets Published? |
| Q34056842 | Making every SAR point count: the development of Chemistry Connect for the large-scale integration of structure and bioactivity data |
| Q38467407 | Mapping between databases of compounds and protein targets |
| Q28652353 | Parallel worlds of public and commercial bioactive chemistry data |
| Q38453607 | PharmaTrek: A Semantic Web Explorer for Open Innovation in Multitarget Drug Discovery |
| Q56511193 | Pioneering Use of the Cloud for Development of Collaborative Drug Discovery (CDD) Database |
| Q27009058 | Practice and Challenges of Building a Semantic Framework for Chemogenomics Research |
| Q28222668 | QSAR modeling: where have you been? Where are you going to? |
| Q59808654 | QSAR-Based Virtual Screening: Advances and Applications in Drug Discovery |
| Q45949980 | Reaching out to collaborators: crowdsourcing for pharmaceutical research. |
| Q56396096 | Redundancy in two major compound databases |
| Q33893527 | Rendezvous in chemical space? Comparing the small molecule compound libraries of Bayer and Schering |
| Q56992819 | Review and comparative assessment of similarity-based methods for prediction of drug–protein interactions in the druggable human proteome |
| Q92940611 | Substance-Based Bibliometrics: Identifying Research Gaps by Counting and Analyzing Substances |
| Q58079602 | Survey of Similarity-based Prediction of Drug-protein Interactions |
| Q38834660 | Text mining patents for biomedical knowledge |
| Q28603128 | The IUPHAR/BPS Guide to PHARMACOLOGY in 2016: towards curated quantitative interactions between 1300 protein targets and 6000 ligands |
| Q28842733 | Towards a gold standard: regarding quality in public domain chemistry databases and approaches to improving the situation |
| Q28534695 | Tracking 20 years of compound-to-target output from literature and patents |
| Q28748220 | Trust, but verify: on the importance of chemical structure curation in cheminformatics and QSAR modeling research |
| Q42278847 | VB-MK-LMF: fusion of drugs, targets and interactions using variational Bayesian multiple kernel logistic matrix factorization. |
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