Results
Compound | MicroRNA ID | Score | Rank |
---|---|---|---|
[1] UntitledOriginal SMILES: Prepared SMILES: | miR-21-5p | 0.363403 | 1 |
miR-27b-3p | 0.190447 | 2 | |
miR-16-5p | 0.184119 | 3 | |
miR-125b-5p | 0.178165 | 4 | |
miR-221-3p | 0.162621 | 5 | |
miR-29a-3p | 0.161871 | 6 | |
miR-181a-5p | 0.150286 | 7 | |
miR-29b-3p | 0.145101 | 8 | |
miR-323a-3p | 0.136679 | 9 | |
miR-663a | 0.133759 | 10 | |
miR-27a-3p | 0.130032 | 11 | |
miR-98-5p | 0.123741 | 12 | |
miR-451a | 0.123559 | 13 | |
miR-148a-3p | 0.121802 | 14 | |
miR-328-3p | 0.121404 | 15 | |
miR-146a-5p | 0.11929 | 16 | |
miR-15b-5p | 0.116635 | 17 | |
let-7e-5p | 0.114738 | 18 | |
miR-29c-3p | 0.112186 | 19 | |
miR-181b-5p | 0.112068 | 20 | |
miR-24-3p | 0.108244 | 21 | |
miR-126-3p | 0.105311 | 22 | |
miR-638 | 0.104667 | 23 | |
let-7d-5p | 0.102834 | 24 | |
miR-20a-5p | 0.102139 | 25 | |
let-7a-5p | 0.100534 | 26 | |
miR-222-3p | 0.0980145 | 27 | |
miR-128-3p | 0.096898 | 28 | |
miR-100-5p | 0.0965978 | 29 | |
miR-99b-5p | 0.0882276 | 30 | |
miR-1915-3p | 0.0882221 | 31 | |
miR-424-5p | 0.0863295 | 32 | |
miR-18a-5p | 0.0848289 | 33 | |
miR-23b-3p | 0.0846957 | 34 | |
miR-200b-3p | 0.0810637 | 35 | |
miR-323a-5p | 0.0802969 | 36 | |
let-7f-5p | 0.0800707 | 37 | |
miR-296-5p | 0.0793965 | 38 | |
miR-298 | 0.0779291 | 39 | |
miR-26a-5p | 0.0770437 | 40 | |
miR-141-3p | 0.0767397 | 41 | |
let-7i-5p | 0.076335 | 42 | |
let-7g-5p | 0.0756426 | 43 | |
let-7c-5p | 0.0740403 | 44 | |
miR-30a-5p | 0.0729394 | 45 | |
miR-142-5p | 0.0719568 | 46 | |
miR-155-5p | 0.0711707 | 47 | |
miR-124-3p | 0.0694774 | 48 | |
miR-1-3p | 0.0692628 | 49 | |
miR-101-3p | 0.0687369 | 50 |
Job Information
Job ID | Submitted date | Prediction type | Method | Network | Molecular fingerprint | Other parameter(s) | Score matrix |
---|---|---|---|---|---|---|---|
1844 | 2021-09-28 08:29:05 | MicroRNAs | Substructure-Drug-Target Network-Based Inference (SDTNBI) | Drug-microRNA association network (version 2016) | Klekota-Roth (KR) | k = 2, Top 50 |