| scholarly article | Q13442814 |
| P8978 | DBLP publication ID | journals/bioinformatics/MervinBKASFBEB18 |
| P356 | DOI | 10.1093/BIOINFORMATICS/BTX525 |
| P932 | PMC publication ID | 5870859 |
| P698 | PubMed publication ID | 28961699 |
| P50 | author | Lewis H Mervin | Q43370881 |
| Ola Engkvist | Q43370883 | ||
| P2093 | author name string | Fredrik Svensson | |
| Avid M Afzal | |||
| Ian Barrett | |||
| Mike A Firth | |||
| Krishna C Bulusu | |||
| Leen Kalash | |||
| P2860 | cites work | In silico methods to address polypharmacology: current status, applications and future perspectives | Q38689965 |
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| TargetHunter: an in silico target identification tool for predicting therapeutic potential of small organic molecules based on chemogenomic database | Q36910563 | ||
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| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P4510 | describes a project that uses | scikit-learn | Q1026367 |
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P1104 | number of pages | 8 | |
| P304 | page(s) | 72-79 | |
| P577 | publication date | 2018-01-01 | |
| P1433 | published in | Bioinformatics | Q4914910 |
| P1476 | title | Orthologue chemical space and its influence on target prediction | |
| P478 | volume | 34 |
| Q92191163 | In Silico Characterization of Structural Distinctions between Isoforms of Human and Mouse Sphingosine Kinases for Accelerating Drug Discovery |
| Q64936713 | Leveraging heterogeneous data from GHS toxicity annotations, molecular and protein target descriptors and Tox21 assay readouts to predict and rationalise acute toxicity. |
| Q58586423 | Systemic neurotransmitter responses to clinically approved and experimental neuropsychiatric drugs |
| Q58586909 | Using Machine Learning to Predict Synergistic Antimalarial Compound Combinations With Novel Structures |
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