Recognition Elements PPI Library

Protein-protein interactions (PPIs) are the process in which two or more proteins bind, usually aiming to perform their biochemical functions. In the cell, a large number of protein components form a molecular machinery that performs most of the important molecular processes in the cell, such as DNA replication, through protein interactions. PPIs play an extremely important role in most of biochemical functions. For example, signaling molecules transmit signals from outside the cell to the inside through PPIs. This process, which is also called messaging, is the basis for many biochemical functions and has been implicated in many diseases, including cancer. Proteins can also interact over time to form partial protein complexes that are responsible for carrying another protein.

To advance the discovery and development of selective recognition elements PPIs, BOC Sciences has designed a proprietary recognition elements PPI library.

Trends in PPI  networks. Figure 1. Trends in PPI networks. (Davide, C.; et al. 2015)

Library Design

To date, the main strategy for the discovery of small molecule modulators of PPIs has been limited to structural characterization of the target. However, recent developments in molecular scaffolds that mimic the side chain display of peptide secondary structures have yielded effective designs.

a.BOC Sciences has supported the set of recognition elements including gama-, β-turns, dipeptide mimictics

  • Turns refer to regions where the peptide chain reverses its overall orientation, where the gamma-turns involve three residues and typically form a hydrogen bond between residues i and i+2, resulting in a pseudo-7-membered ring
  • Chain reversal in β-turns involves four residues, and a hydrogen bond can then form a hydrogen bond between residues i and i+3, resulting in a pseudo-10-membered ring

b.In addition, we have applied a backbone-backbone or backbone-side chain cyclization method to synthesize conformationally constrained analogs to mimic peptide bioactive conformations

PPI networks are  selected using the PAnDA approach. Figure 2. PPI networks are selected using the PAnDA approach. (Davide, C.; et al. 2015)

Recognition Elements PPI Library Characteristics

  • No PAINS or toxic substances/unwanted functions: filtered by strict ‘Ro5-like’ physicochemical and most stringent in-house structural filters
  • Bioactivity and safety confirmed by preclinical studies and clinical trials
  • Structural diversity, medicinal activity, and cellular penetration
  • Structural document, IC50, and other chemical and biological data are provided
  • All compounds are continually updated
  • All of these compounds with Tanimoto index ≥ 0.85
  • Compound cherry-picking service is provided

What We Deliver

  • Delivered within 2 weeks in any customer-preferred format
  • Powders, dry films or DMSO solutions formatted in vials, 96 or 384-well plates
  • All compounds have a minimum purity of 90% assessed by 1H NMR and HPLC
  • Analytical data is provided

BOC Sciences provides professional, rapid and high-quality services of Recognition Elements PPI Library design at competitive prices for global customers. Personalized and customized services of Recognition Elements PPI Library design can satisfy any innovative scientific study demands. Our clients have direct access to our staff and prompt feedback to their inquiries. If you are interested in our services, please contact us immediately!

Reference

  1. Davide, C.; et al. By the company they keep: interaction networks define the binding ability of transcription factors. Nucleic Acids Research. 2015(19): e125.
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Services Based on the Chemical Library Design Platform

BOC Sciences has rich experience in working with global customers in custom library synthesis of compounds and generating small to medium-sized libraries of target compounds. Our knowledge in generating a large number of target molecules in a remarkably shorter time enables quick biological screenings for affinities. With the target properties in mind, we deliver target molecules, by applying our extensive knowledge in drug discovery.

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