scholarly article | Q13442814 |
P356 | DOI | 10.2174/156802612804910287 |
P953 | full work available at URL | http://www.diva-portal.org/smash/get/diva2:564767/FULLTEXT01.pdf |
P3181 | OpenCitations bibliographic resource ID | 4163174 |
P698 | PubMed publication ID | 23110533 |
P50 | author | Egon Willighagen | Q20895241 |
Ola Spjuth | Q27061853 | ||
Martin Eklund | Q28854723 | ||
Jonathan Alvarsson | Q28865170 | ||
Lars Carlsson | Q28923506 | ||
Valentin Georgiev | Q43370303 | ||
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P433 | issue | 18 | |
P921 | main subject | drug discovery | Q1418791 |
Bioclipse | Q1769726 | ||
open source | Q39162 | ||
open-source software | Q1130645 | ||
open-source drug discovery | Q75769121 | ||
P1104 | number of pages | 7 | |
P304 | page(s) | 1980-1986 | |
P577 | publication date | 2012-01-01 | |
P1433 | published in | Current Topics in Medicinal Chemistry | Q2734725 |
P1476 | title | Open source drug discovery with Bioclipse | |
P478 | volume | 12 |
Q21092920 | Applications of the InChI in cheminformatics with the CDK and Bioclipse |
Q44978924 | Benchmarking study of parameter variation when using signature fingerprints together with support vector machines |
Q28654673 | Bigger data, collaborative tools and the future of predictive drug discovery |
Q56914129 | ChemInform Abstract: Open Source Drug Discovery with Bioclipse |
Q30681280 | Fusing dual-event data sets for Mycobacterium tuberculosis machine learning models and their evaluation |
Q38386542 | In silico methods for predicting drug-drug interactions with cytochrome P-450s, transporters and beyond |
Q27902338 | Large-scale ligand-based predictive modelling using support vector machines |
Q38173202 | Progress in computational toxicology |
Q30149558 | The Chemistry Development Kit (CDK) v2.0: atom typing, depiction, molecular formulas, and substructure searching |
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