What is protein motif?
The protein motif refers to a distinctive sequence of amino acids that is recurrent and regularly observed in multiple proteins, despite some proteins may absence of homology; however, they may exhibit characteristics typically associated with a specific function or structure. The motif of protein can vary in length, ranging from a few amino acids to extended longer regions within a protein. Significantly, protein motif can be identified in diverse regions of a protein and exhibits a high degree of conservation across diverse species, underscoring their distinctive functional significance. Some motifs contribute to protein overall shape and stability, while others regulate gene expression. Additionally, certain motifs are involved in enzyme catalysis, facilitating specific biochemical reactions. They primarily categorized into two parts: sequence motifs and structure motifs. Most of the sequence motifs are relatively short in length such as the LXXLL motif and RGD motif (only consists of Arg-Gly-Asp). The former is essential for interacting with nuclear receptors, while the latter is beneficial for enhancing cell adhesion. The structure motifs, which fulfill diverse functions encompassing enzymatic activity, DNA or RNA binding, protein-protein interactions, membrane association, signal transduction, and structural stabilization support, such as the coiled-coil motif and ATP-binding motif. In short, utilizing bioinformatics methods to predict protein motifs can provide valuable guidance for subsequent experiments, aid in the interpretation of protein structure, facilitate functional annotation, and enhance understanding of protein evolution and diversification.
Our Protein Motif Prediction Service
Protein motifs prediction is widely used in bioinformatics and proteomics research. It is possible to associate motifs with specific observable effects such as significantly differential expression (up and/or down) proteins identified in certain conditions, post-translational modification (PTM) and protein-protein interactions. By retrieving protein data from systematic protein motif databases, it helps in discovering common sequence rules, classifying biological data, and slightly reducing data complexity. By analyzing the common characteristics of protein, we can discover known or novel protein motifs and then hypothesize the potential functions of these proteins. Once the motif of protein has been predicted, the next step is to verify and interpret their biological significance. Dependably, in Creative Proteomics, we have mastered numerous bioinformatics tools and techniques. Our team of bioinformatics specialists enables us to effectively identify common motifs that are frequently recur and enrich in your extensive protein data.
Applications of protein motifs
- Gene structure and function research
- Protein structure and function research
- Transcriptional regulatory research
- PTM research
- Interaction proteome
- Human disease and tumor research
- Drug design
Methods used in protein motif prediction service provided by Creative Proteomics, include:
- MEME
- Gibbs sampling
- Expectation maximization
- HMMs
- Bayesian methods
- Combinatorial
- Customized methods as per the customers' request
Creative Proteomics also provides the following services in bioinformatic Analysis
- Signal peptide prediction
- Protein ligand binding site prediction
- Transmembrane prediction
- Functional annotation and enrichment analysis
- Clustering analysis
- Network analysis
- Statistical analysis
How to place an order
With over 10 years statistical analysis experience, Creative Proteomics can provides extensive support for protein motif prediction that meets your specific requirements. Please feel free to contact us via email whenever you need to discuss your specific requirements. Our customer service representatives are available 24 hours a day, from Monday to Sunday.
