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影響疾病的蛋白質及藥物之結構資料庫
Thesis

影響疾病的蛋白質及藥物之結構資料庫

周藝樺
Masters, 國立清華大學, 分子醫學研究所
2014

Abstract

影響疾病的蛋白質及藥物之結構資料庫 Structure of Disease-Related Protein & Drug Database (SDRPD)
With the rapid advances in computer and information, the acquired way of information it has drastic changes. In the past, scientists obtain information are often capture from the writings of the scientists or textbook. Previous researchers search for information in library who should be refer to the subject, academic works, journals, research papers to find the data we need. The way for search is complicated and time-consuming in the past. With the advancement of technology, e-books have a tendency to replace real book gradually. Processing of computer information become more and more powerful. Researchers will be able to find the required information quickly by internet. Therefore, we want to establish a convenience web database for users to find some data they want easily. Disease-related databases are few in the past. Due to the need and convenience of the medical information obtained. Most of current disease-related databases set up via cooperation with the hospital. For the purpose of convenience of the physician queries, information of database established to disease symptoms and treatment. Information of the structure of the disease, caused by protein-related diseases are more important to many researchers who study diseases, such as the sequence and their pathways. We want to build a database including disease-associate proteins and drugs. We are looking for the relationship between databases we refer to, and we built a list of drugs as index of drug. SDRPD is based on protein and structure of pdb.list, and then we built the page of protein respectively. At the same time, we built the page of drug. The source data of drug database which form PubChem, KEGG, DrugBank, Therapeutic Target Database, LigandBox, Drugs.com and Wikipedia. According to function and classification, we collect the information for drug and separated them by classification, like the information of the drug, the structure of the drug, the pharmacology, the data of binding, and literature. We want to establish a database which not only provide some help to researchers for drug design quickly and conveniently, but also make the development of biotechnology science speed up.

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