PTM Site Prediction based on Sequence and Structure

Post translational modifications (PTMs) of proteins play an important role in biological processes. Potential post-translational modifications of proteins are composed of central sites and adjacent amino acid residues. Proteins modified by covalent and general enzymes can affect the activity of the protein, and the modified protein has a more complex structure and function. Using experimental methods to explore the post-translational modification sites of proteins is time-consuming and costly, which is seriously inconsistent with the speed of biological data explosion growth, so the use of computational methods to predict PTM sites has become an ideal alternative method.

Overall Solution

CD ComputaBio uses a computational method to propose a variety of modeling methods for site prediction and analysis to improve the accuracy of using experiments to predict PTM sites. We have designed new computational prediction methods using various protein sequence features. We use multiple machine learning algorithms to build a prediction model, analyze the accuracy of the prediction model by using leave-one-out cross-validation and independent test set verification, and at the same time compare the prediction accuracy of each feature horizontally and analyze the impact of various features on the prediction results.

Our Post-translational Modification Services

Our goals

Our goal is to provide computational PTM services to help study the corresponding effects on protein structure, kinetics and binding specificity. The results may enhance the understanding of the above-mentioned effects and functional results, promote the rational design of PTM regulation, and ultimately be used to inform structure-based therapeutic work for modified protein systems. We provide services in a completely customizable way to meet the specific requirements of customers. Please feel free to contact us for more detailed information about our post-calculation translation modification service.

Features

• Refinement of energy-based modified protein structure.
• Include ligands, cofactors and water in the model.
• Predict physical properties and compare with unmodified proteins.

Our Advantages

• Post-translational modifications of proteins contribute to the functioning of biological functions.
• Post-translational modification of proteins helps to understand the molecular mechanisms of protein design and drug design.
• Exploring the post-translational modification sites of proteins using experimental methods usually takes a long time and costs a lot, so using computational methods to predict PTM sites has become an ideal and alternative method.

We provide a variety of modeling services, but not limited to:

• Fold recognition services
• Antibody modeling services
• Homology detection and structure comparison service
• Fusion Protein Modeling Service

• PTM Predictions Service
• Proteomic Analysis of PTMs