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Anti-virus Compound library

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  • ¥11345
  • Targetmol
  • 美国
  • L1700-1mg
  • 2026年01月13日
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    • 详细信息
    • 询价记录
    • 文献和实验
    • 技术资料
    • 英文名

      Anti-virus Compound library

    • 库存

      大量现货

    • 供应商

      广州柏赛柯生物

    • 规格

      1mg///250uL///100uL


    Anti-virus Compound library

    (113种具抗病毒活性的化合物)


    具体报价请参考官网:http://www.targetmol.com

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    Product Description

    Contains 113 kinds of molecular for drug research and other Pharmaceutical development fields.

    • lower price with higher quality, saving scientific research funds
    • Includes detailed compound information with structure, target, activity, IC50 value etc;
    • NMR and HPLC validated to ensure high purity and quality;

    The compound library can be highly customized. You can select compounds, quantities, format
    (dry/solid or DMSO), plate map, and concentration to meet your specific requirement.

    Packaging and Storage
    • 1 mg powder or pre-dissolved DMSO solutions in 96 well plate with optional 2D barcode
    • Shipped with blue ice; Stable for One year as powder, 3 months at - 20 ° C in DMSO or
    • 6 months at -80 ° C in DMSO

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    • 作者
    • 内容
    • 询问日期
    图标文献和实验
    相关实验
    • Compound Library Management

      with this topic (1,2), but an update seemed necessary due to the rapid evolution of this field. The scope of this chapter is the management of different types of compound collec-tions from both physical and electronic points of view, including some aspects

    • Informatics in Compound Library Management

      for compound library management, these systems do not come cheaply. Without doubt, for large pharma the return on investment for one of these systems can be justified; however, the upfront cost is typically prohibitive for smaller businesses looking to stretch

    • Compound Library Design for Target Families

      and the extremely high-cost procedure jointly force the scientist to use additional computational tools for rational compound library design and selection. The present chapter will focus specifically on application of a predictive mapping computational technology

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