征稿已开启

查看我的稿件

注册已开启

查看我的门票

已截止
活动简介

Drug discovery and development is a highly complex, time-consuming process, which entails spending millions of dollars per drug to bring to market. The application of knowledge from chemistry, along with trial-and-error–based pharmacology, has traditionally been the drug development technique of choice. This approach makes the process very cumbersome. However, the pharmaceutical industry has recently been investing in the development and use of an unprecedented wealth of publically available ‘omics’ data, with a quest to develop drugs that are more effective, safe, curative and that can accelerate the process of screening and drug development. Applied informatics and bioinformatics are imperative in the development of high-throughput screening techniques, rational drug design and drug target identification. Moreover, the analysis of genomic data for various mutations and SNPs can be used in predicting the therapy response in a patient and can be equally useful in making treatment decisions at the clinic.

Another exciting area of research in pharmacology includes the use of natural sources such as culinary herb and/or other plant sources. Although plant compounds have been widely used as antifungal and antibacterial agents in China and many Asian countries, the knowledge relating to the mechanism of action of these natural compounds is limiting. Applied informatics is expected to be highly instrumental in the identification of common fragments between various drug compounds and phytochemicals.

The knowledge of metabolic and biosynthetic pathways relating to phytochemicals could augment drug production strategies using plant sources. Since rational drug development and biosynthesis are highly data driven, the development of open source data platforms and public repositories for biomedical literature, clinical studies, biological pathways, and toxicological profile and drug databases are crucial for the advancements in pharmacology and pharmacogenomics. Therefore, the main goal of the AIPP workshop is to provide a common platform for scientists from various multidisciplinary fields, including applied informatics, bioinformatics, pharmacologists, biomedicine, health informatics, and plant biologists, to exchange novel and innovative ideas. The workshop is expected to provide the opportunity to share research findings for efficient and effective ways of integrating life science data using applied informatics and for developing robust tools and insightful databases to facilitate the discovery of new knowledge in pharmacology and biomedicine.

征稿信息

征稿范围

Topics of interest include, but are not limited to:

  • Computer-aided drug design

  • Next Generation Sequencing (NGS) data analysis in the discovery of pharma(nutra)ceutical drugs

  • Biosynthesis of phytochemicals and plant secondary metabolites

  • Use of public data resources in clinical biomarker discovery

  • Pharmacogenomics and precision therapeutics

  • Data mining approaches in bioinformatics and biomedicine

  • Network-driven drug discovery

  • Robust biological and biomedical databases of natural compounds

  • Computational and combinatorial approaches to drug design from natural products

  • Drug target identification from biomolecular networks

  • Fragment enrichment across natural sources and synthetic drug compounds

  • Application tools for biomolecular network visualization and analysis

  • Drug repurposing and toxicological prediction of drugs using applied informatics

  • Immune-based drug discovery

留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 11月13日

    2017

    会议日期

  • 11月13日 2017

    注册截止日期

主办单位
IEEE 计算机学会
联系方式
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询