PGxDB: an interactive web-platform for pharmacogenomics research

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Trinh Trung Duong Nguyen, Ziaurrehman Tanoli, Saad Hassan, Umut Onur Özcan, Jimmy Caroli, Albert J Kooistra, David E Gloriam, Alexander S Hauser
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引用次数: 0

Abstract

Pharmacogenomics, the study of how an individual's genetic makeup influences their response to medications, is a rapidly evolving field with significant implications for personalized medicine. As researchers and healthcare professionals face challenges in exploring the intricate relationships between genetic profiles and therapeutic outcomes, the demand for effective and user-friendly tools to access and analyze genetic data related to drug responses continues to grow. To address these challenges, we have developed PGxDB, an interactive, web-based platform specifically designed for comprehensive pharmacogenomics research. PGxDB enables the analysis across a wide range of genetic and drug response data types - informing cell-based validations and translational treatment strategies. We developed a pipeline that uniquely combines the relationship between medications indexed with Anatomical Therapeutic Chemical (ATC) codes with molecular target profiles with their genetic variability and predicted variant effects. This enables scientists from diverse backgrounds - including molecular scientists and clinicians - to link genetic variability to curated drug response variability and investigate indication or treatment associations in a single resource. With PGxDB, we aim to catalyze innovations in pharmacogenomics research, empower drug discovery, support clinical decision-making, and pave the way for more effective treatment regimens. PGxDB is a freely accessible database available at https://pgx-db.org/
PGxDB:药物基因组学研究互动网络平台
药物基因组学是研究个体基因构成如何影响其对药物反应的学科,它是一个快速发展的领域,对个性化医疗具有重要意义。由于研究人员和医疗保健专业人员在探索基因图谱与治疗结果之间错综复杂的关系时面临挑战,因此对有效且用户友好的工具的需求不断增长,以访问和分析与药物反应相关的基因数据。为了应对这些挑战,我们开发了 PGxDB,这是一个基于网络的交互式平台,专为综合性药物基因组学研究而设计。PGxDB 可以分析各种遗传和药物反应数据类型,为基于细胞的验证和转化治疗策略提供信息。我们开发的管道将以解剖治疗化学(ATC)代码为索引的药物与分子靶点概况之间的关系、遗传变异和预测变异效应独特地结合在一起。这使来自不同背景的科学家(包括分子科学家和临床医生)能够将遗传变异与整理的药物反应变异联系起来,并在单一资源中研究适应症或治疗相关性。通过 PGxDB,我们的目标是促进药物基因组学研究的创新,增强药物发现的能力,支持临床决策,并为更有效的治疗方案铺平道路。PGxDB 是一个可在 https://pgx-db.org/ 免费访问的数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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