자료유형  

 학위논문

Control Number  

0017161844

International Standard Book Number  

9798383200520

Dewey Decimal Classification Number  

574

Main Entry-Personal Name  

Tu, Roger.

Publication, Distribution, etc. (Imprint  

[S.l.] : The Scripps Research Institute., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

195 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-01, Section: A.

General Note  

Advisor: Su, Andrew I.

Dissertation Note  

Thesis (Ph.D.)--The Scripps Research Institute, 2024.

Summary, Etc.  

요약Drug repurposing, identifying new uses for approved drugs, has emerged as an urgent and significant drug development approach due to the escalating costs associated with bringing a drug to market. Computational drug repurposing can leverage scalable in-silico methods like knowledge graphs to quickly model, screen, or predict drug repurposing indications (disease treatments). By manipulating massed interconnected descriptions of drug and disease entities and their underlying relationships in a biomedical knowledge graph, computational drug repurposing approaches can identify candidate indications. However, as knowledge graphs are incomplete, absent connections can prevent potential discovery of a drug repurposing indication. Furthermore, similarity-based drug repurposing lacks mechanistic insights to support a potential repurposing candidate. My thesis highlights three contributions to advance computational drug repurposing utilizing knowledge graph completion, that is the identification of missing links in a graph, to ascertain potential drug repurposing indications in a biomedical context. First, I created a mechanistic drug repurposing knowledge graph and applied a path traversal algorithm to prioritize repurposing candidates. Next, I leveraged the combined strength of embedding and path-based reasoning approaches to improve drug repurposing performance. Finally, I created a time-based drug repurposing framework to facilitate the construction and analysis of a more realistic drug repurposing algorithm evaluation platform.

Subject Added Entry-Topical Term  

Bioinformatics.

Subject Added Entry-Topical Term  

Pharmacology.

Subject Added Entry-Topical Term  

Information science.

Index Term-Uncontrolled  

Drug repurposing

Index Term-Uncontrolled  

Embeddings

Index Term-Uncontrolled  

Graph completion

Index Term-Uncontrolled  

Knowledge graph

Index Term-Uncontrolled  

Ontology

Added Entry-Corporate Name  

The Scripps Research Institute Computational Biology/Bioinformatics

Host Item Entry  

Dissertations Abstracts International. 86-01A.

Electronic Location and Access  

로그인을 한후 보실 수 있는 자료입니다.

Control Number  

joongbu:657451