Name
Title | ||
|---|---|---|
CRF-LSTM Text Mining Method Unveiling the Pharmacological Mechanism of Off-target Side Effect of Anti-Multiple Myeloma Drugs. |
Abstract | ||
|---|---|---|
Off-target effects played a vital role in the pharmacological understanding of drug efficacy and this research aimed to use text mining strategy to curate molecular level information and unveil the mechanism of off-target effect caused by the usage of anti-multiple myeloma (MM) drugs. After training a hybrid CNN-CRF-LSTM neural network upon the training data from TAC 2017 benchmark database, we extracted all of the side effects of 16 anti-MM drugs from drug labels, and combined the results with existed database. Afterwards, gene targets of anti-MM drugs were obtained by using structure similarity, and their related phenotypes were retrieved from Human Phenotype Ontology. Furthermore, linked phenotypes to candidate genes and adverse reaction of known drugs formed a knowledge graph. Through regulation analysis upon intersected phenotypes of drugs and target genes, an off-target effect caused by SLC7A7 was found, which with high possibility unveiled the pharmacological mechanism of side effect after using combination of anti-MM drugs. |
Year | Venue | DocType |
|---|---|---|
2018 | SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2018) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kaiyin Zhou | 1 | 0 | 2.70 |
| Sheng Zhang | 2 | 8 | 5.27 |
| Xiangyu Meng | 3 | 614 | 35.62 |
| Qi Luo | 4 | 0 | 0.34 |
| Yuxing Wang | 5 | 0 | 4.39 |
| Ke Ding | 6 | 0 | 1.69 |
| Yukun Feng | 7 | 0 | 0.34 |
| Mo Chen | 8 | 108 | 16.04 |
| Kevin Cohen | 9 | 0 | 0.34 |
| Jingbo Xia | 10 | 14 | 7.50 |