Literature-Wide Association Studies (LWAS) for a Rare Disease: Drug Repurposing for Inflammatory Breast Cancer.
Literature-Wide Association Studies (LWAS) for a Rare Disease: Drug Repurposing for Inflammatory Breast Cancer.
复制标题
DOI:
10.3390/molecules25173933
复制
发表时间:
2020-08-28
期刊:
影响因子:
--
通讯作者:
Zheng W
中科院分区:
文献类型:
--
作者:
Ji X;Jin C;Dong X;Dixon MS;Williams KP;Zheng W
Drug repurposing is an effective means for rapid drug discovery. The aim of this study was to develop and validate a computational methodology based on Literature-Wide Association Studies (LWAS) of PubMed to repurpose existing drugs for a rare inflammatory breast cancer (IBC). We have developed a methodology that conducted LWAS based on the text mining technology Word2Vec. 3.80 million “cancer”-related PubMed abstracts were processed as the corpus for Word2Vec to derive vector representation of biological concepts. These vectors for drugs and diseases served as the foundation for creating similarity maps of drugs and diseases, respectively, which were then employed to find potential therapy for IBC. Three hundred and thirty-six (336) known drugs and three hundred and seventy (370) diseases were expressed as vectors in this study. Nine hundred and seventy (970) previously known drug-disease association pairs among these drugs and diseases were used as the reference set. Based on the hypothesis that similar drugs can be used against similar diseases, we have identified 18 diseases similar to IBC, with 24 corresponding known drugs proposed to be the repurposing therapy for IBC. The literature search confirmed most known drugs tested for IBC, with four of them being novel candidates. We conclude that LWAS based on the Word2Vec technology is a novel approach to drug repurposing especially useful for rare diseases.
登录
查看更多内容
影响因子:
9.7
作者:
Oladapo HO;Tarpley M;Sauer SJ;Addo KA;Ingram SM;Strepay D;Ehe BK;Chdid L;Trinkler M;Roques JR;Darr DB;Fleming JM;Devi GR;Williams KP
通讯作者:
Williams KP
影响因子:
5.1
作者:
Li JF;Park E;von Arnim AG;Nebenführ A
通讯作者:
Nebenführ A
影响因子:
0.9
作者:
Hattori S;Kajiyama H;Fuji U;Furui Y;Ishibashi Y;Hattori Y;Takahashi N;Kikkawa F;Misawa T
通讯作者:
Misawa T
影响因子:
10.3
作者:
Hance, KW;Anderson, WF;Levine, PH
通讯作者:
Levine, PH
影响因子:
3.1
作者:
Palazzo, Antonella;Dellapasqua, Silvia;Colleoni, Marco
通讯作者:
Colleoni, Marco