Virtual Peptide Library

* Please kindly note that our products and services can only be used to support research purposes (Not for clinical use).

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Creative Peptides is a leading biopharmaceutical company providing efficient and accurate virtual peptide libraries for research institutions and pharmaceutical companies. Our services are based on advanced computational biology and bioinformatics technologies designed to accelerate the peptide drug discovery and development process, reduce costs, and increase research and development efficiency.

Virtual peptide library, as a cutting-edge technology in the field of biomedicine research, skillfully integrates the deep background of computer simulation and bioinformatics, aiming at generating and in-depth analysis of large-scale peptide molecular data sets. This advanced database system not only contains a large number of peptide sequences and their detailed metadata, but also covers a wide range, including both artificially designed innovative sequences and natural peptide chains that exist in nature. Through sophisticated computer algorithms and efficient database management techniques, the virtual peptide library can build a huge resource library containing millions or even billions of unique peptide sequences, which opens an efficient door for researchers to explore unknown functional peptides. This technology plays an important role in many key fields such as drug target discovery, vaccine engineering design, protein-protein interaction analysis and so on.

Construction process of virtual combined pentapeptide library

Advantages of virtual peptide libraries

Huge scale: Compared with the physical limitations of the physical library, the virtual peptide library shows unprecedented inclusiveness, and its sequence storage reaches hundreds of millions of levels, greatly broadening the boundary of screening, and significantly enhancing the probability of identifying new active peptide segments.

Freedom of precision design: With the support of computer-aided design, researchers are given a high degree of flexibility to precisely adjust the amino acid combination, sequence layout, chain length and special structural properties of peptides to precisely match specific biological activity targets or functional requirements.

Prospective prediction and simulation efficiency: The virtual peptide library is not only a warehouse of sequences, but also a powerful prediction platform, which can simulate the structure and function of proteins, and provide a powerful aid for proteomics exploration by comparing the similarity of the sequences in the library with those of known proteins.

Win-win strategy of cost and efficiency: Compared with the high synthesis and verification costs of physical peptide libraries, the construction and screening process of virtual libraries is cost-effective, and the unnecessary entity synthesis steps are greatly reduced by calculating the sequence attributes in advance, saving valuable resources.

Accelerated intelligent screening mechanism: Using molecular docking technology, pharmacophore models and advanced machine learning algorithms, virtual peptide libraries can efficiently screen massive sequences in a very short time frame, predict their interaction potential with specific biological targets, and quickly target high-potential candidate molecules.

In-depth analytical dimension of bioinformatics: As the cornerstone of bioinformatics research, virtual peptide library not only supports conventional statistical analysis, cluster analysis and association research, but also reveals the internal laws and biological meanings of peptide sequences in a deeper level, and promotes the deepening of scientific cognition.

Goal-oriented rational design practice: Integrating the essence of bioinformatics and structural biology, the virtual library can tailor peptides to specific disease targets, while optimizing the pharmacokinetic and pharmacodynamic properties of existing peptide drugs to accelerate drug development.

Prior risk assessment and optimization: Before experimental synthesis, the virtual screening mechanism can effectively filter out potentially toxic or structurally unstable sequences, significantly reducing the risk of experimental failure, and improving the feasibility and safety of the research and development path.

Dynamic update system with The Times: With the iterative upgrading of bioinformatics tools and computational models, the virtual peptide library has maintained the ability to continuously update and optimize, ensuring that it always remains at the forefront of science and timely integration of the latest scientific research results and technological innovation.

The wide application of virtual peptide library

  • Cancer treatment drug innovation

In the exploration of anti-cancer drugs, researchers skillfully use virtual screening technology to select peptides that can bind with high affinity to key cancer proteins such as EGFR and VEGF receptors from hundreds of millions of peptide sequences. For example, some peptides that can effectively inhibit tumor angiogenesis have been discovered, and then transformed into anti-tumor drugs with significant therapeutic effects.

  • A new chapter in antiviral therapy

In the face of global viral challenges such as HIV and SARS-CoV-2, scientists have screened virtual peptide libraries and revealed peptide sequences that can accurately intervene in viral invasion mechanisms (such as specific binding with viral spike proteins), providing innovative ideas for the development of new antiviral drugs.

  • The peptide vaccine Revolution

At the forefront of vaccine technology, virtual peptide libraries have played a key role in designing subunit vaccines against hard-to-culture or highly mutated pathogens such as influenza. The safety and immune effect of the vaccine were improved by screening the peptide sequence that induced strong immune response.

  • Novel treatment strategies for autoimmune diseases

Using virtual screening, scientists have identified specific peptides that can precisely regulate overactivated immune cells, especially for diseases such as rheumatoid arthritis and systemic lupus erythematosus, opening up a new path to treat autoimmune diseases.

  • Advances in tissue engineering and regenerative medicine

Through virtual library technology, scientists not only design peptides that can promote cell growth, differentiation, and accelerate wound healing, but also continuously optimize the bioactivity and compatibility of these molecules, and promote the development of bionic stents and regenerative medicine materials.

  • Green transformation of agricultural biotechnology

In the field of biopesticides, virtual screened peptides mimic insect hormones or interfere with digestive enzyme activity, as the core of a new generation of highly efficient and low toxic biopesticides, promoting sustainable agricultural development.

  • Intelligent improvement of biosensing technology

With the help of specific recognition molecules designed by virtual library, it realizes highly sensitive and specific detection of biomarkers such as pathogens and toxins, which is widely used in environmental protection, food safety monitoring and clinical diagnosis.

Our professional services

  • Huge virtual molecule library resources

We have a virtual peptide library of 100 million scale, focusing on the discovery of new natural peptide drugs, providing comprehensive services from target targeted screening to candidate molecule optimization.

  • Customized sequence design and optimization

Using cutting-edge computational biology tools, we design peptides with specific functions or targeted affinity, including structural design, molecular docking simulation, and machine learning-based fine-tuning of sequences.

  • Intelligent virtual library construction

Combining big data and AI technology, the peptide database constructed covers a wide range of functional and structural types, providing unlimited possibilities for new drug discovery.

  • Efficient virtual screening services

Relying on sophisticated computational screening algorithms, we can efficiently identify active peptide candidates from a large library with a screening success rate of up to 90%, greatly accelerating the drug discovery process.

  • Activity prediction and accurate evaluation

Bioinformatics tools and prediction models were used to comprehensively evaluate the stability and biological activity of peptides, including target interaction, cell penetration, etc. The accuracy of machine learning prediction exceeded 85%, effectively guiding subsequent experiments.

  • Personalized peptide library customization

According to customer needs, customized such as location scanning library, random peptide library and other characteristic peptide libraries, to help efficient screening of specific targets.

  • Comprehensive drug development support

From target validation to ADME/T evaluation of drug candidates, we provide a one-stop service to ensure the smooth progress of drug development projects and accelerate the transformation process from laboratory to clinical application.


1. What is a virtual peptide library?

A virtual peptide library is a computationally generated collection of peptide sequences used for high-throughput screening and drug discovery. These libraries utilize algorithms and bioinformatics tools to predict the properties and activities of peptides, allowing researchers to identify potential candidates for further experimental validation.

2. How does a virtual peptide library differ from a traditional peptide library?

Virtual peptide libraries are generated and screened using computational methods, whereas traditional peptide libraries are physically synthesized and experimentally screened. Virtual libraries offer several advantages, including faster screening times, reduced costs, and the ability to explore a larger diversity of peptide sequences.

3. How are virtual peptide libraries created?

Virtual peptide libraries are created using bioinformatics and computational chemistry tools. These tools generate peptide sequences based on desired properties or target interactions. Advanced algorithms and machine learning models predict the stability, binding affinity, and biological activity of these peptides.

4. What are the benefits of using a virtual peptide library?

  • High-throughput screening capabilities.
  • Reduced time and cost compared to experimental methods.
  • Exploration of a larger sequence space.
  • Early identification of promising candidates.
  • Enhanced accuracy in predicting peptide-protein interactions.

5. How do you ensure the accuracy of virtual peptide library predictions?

  • Validation of computational models using experimental data.
  • Continuous refinement of algorithms based on new research findings.
  • Integration of multiple predictive tools and techniques.
  • Cross-validation with known peptide-protein interactions.

6. What types of data are provided with the virtual peptide library service?

  • Comprehensive reports on predicted properties of peptides.
  • Binding affinity scores and interaction maps.
  • Structural models of peptide-protein complexes.
  • Detailed protocols for experimental validation.

7. Are there any limitations to using virtual peptide libraries?

Although virtual peptide library has many advantages, it may have some potential limitations, such as the dependence on the accuracy of computational models, the need for experimental validation of predictions, and the possible false positives or negatives due to model limitations.

8. How do you integrate virtual peptide library screening with experimental workflows?

Integration includes selecting the best candidate from the virtual library, synthesizing the selected peptide, conducting experimental analysis to verify the predicted characteristics, and iteratively refining the calculation model according to the experimental results.

9. Can virtual peptide libraries be used for in vivo studies?

Yes, virtual peptide libraries can be used for in vivo studies. Selected peptides need to be synthesized and tested in appropriate biological models. Computational predictions can guide the design of peptides with favorable in vivo properties.

* Please kindly note that our products and services can only be used to support research purposes (Not for clinical use).
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