| scholarly article | Q13442814 |
| P50 | author | Bonnie Berger | Q18808526 |
| Brian L Hie | Q59759435 | ||
| Hyunghoon Cho | Q88591728 | ||
| P2093 | author name string | Hyunghoon Cho | |
| P2860 | cites work | DrugBank 3.0: a comprehensive resource for 'omics' research on drugs | Q24612505 |
| Deep learning | Q28018765 | ||
| SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules | Q28090714 | ||
| How to improve R&D productivity: the pharmaceutical industry's grand challenge | Q28314992 | ||
| STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data | Q30002336 | ||
| Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces. | Q33692324 | ||
| Drug repositioning by integrating target information through a heterogeneous network model | Q34285305 | ||
| Drug discovery in pharmaceutical industry: productivity challenges and trends | Q38012954 | ||
| Enabling Privacy-Preserving GWASs in Heterogeneous Human Populations | Q39564678 | ||
| A network integration approach for drug-target interaction prediction and computational drug repositioning from heterogeneous information. | Q41701311 | ||
| Predicting drug-target interactions using probabilistic matrix factorization | Q42778934 | ||
| An Mdm2 antagonist, Nutlin-3a, induces p53-dependent and proteasome-mediated poly(ADP-ribose) polymerase1 degradation in mouse fibroblasts | Q42813052 | ||
| Phase III randomized trial of droloxifene and tamoxifen as first-line endocrine treatment of ER/PgR-positive advanced breast cancer | Q44043976 | ||
| Crystal structures of the vitamin D nuclear receptor liganded with the vitamin D side chain analogues calcipotriol and seocalcitol, receptor agonists of clinical importance. Insights into a structural basis for the switching of calcipotriol to a rec | Q44823648 | ||
| Drug-target interaction prediction by learning from local information and neighbors | Q45371331 | ||
| Traditional drug-discovery model ripe for reform | Q56610165 | ||
| Secure genome-wide association analysis using multiparty computation | Q62496189 | ||
| P433 | issue | 6412 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | pharmacology | Q128406 |
| collaboration | Q1145523 | ||
| P1104 | number of pages | 4 | |
| P304 | page(s) | 347-350 | |
| P577 | publication date | 2018-10-01 | |
| P1433 | published in | Science | Q192864 |
| P1476 | title | Realizing private and practical pharmacological collaboration | |
| P478 | volume | 362 |
| Q115574415 | A guide to machine learning for biologists |
| Q61444255 | High-performance medicine: the convergence of human and artificial intelligence |
| Q99418950 | Treating medical data as a durable asset |
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