Fold Recognition Service

Protein folding is the process by which a protein obtains its functional structure and conformation. Through this physical process, the protein folds from random coils into a specific functional three-dimensional structure. When translating from an mRNA sequence into a linear peptide chain, the protein exists in the form of an unfolded polypeptide or a random coil. The clarification of the protein folding mechanism will reveal the second set of genetic codes in life, which is its theoretical significance. The study of protein folding, in a narrower sense, is to study the formation of a specific three-dimensional structure of a protein, its stability, and its relationship with its biological activity. The problem of protein folding is listed as an important subject of "Biophysics in the 21st Century", and it is a major biological problem that has not been resolved by the Central Law of Molecular Biology. Predicting the tertiary structure of a protein molecule from the primary sequence and further predicting its function is an extremely challenging task. The study of protein folding, especially the early folding process, that is, the folding process of new peptides, is a fundamental issue for the comprehensive and final elucidation of the central principle.

Protein folding. Figure 1. Protein folding.

Overall solutions

Protein folding recognition is a hot issue in bioinformatics in recent years. Through protein folding recognition, the structure and function of unknown proteins can be preliminarily inferred. The task of fold recognition is to find out the fold type to which the unknown protein belongs. Further inferring the structure and function of the unknown protein according to the superfamily and folding class to which it belongs. In the study of protein folding recognition, the main research methods are divided into three categories: methods based on comparison, methods based on machine learning, and methods based on ensemble.

Services items

Project name Fold Recognition Service
Our services

MedAI provides expertise to help identify the correct structural fold in the known template protein structure of the target protein by combining sequence diagram alignment with a variety of structural information.

  • Our method starts with the construction of a structure template database/library, and then gradually replaces the sequence of the known protein structure in the library with the query sequence of the unknown structure.
  • By optimizing the designed scoring function, the target sequence can be compared with each structural template. Repeat this process for all known 3D structures in the template database until the most suitable position is found.
  • The most statistically possible alignment is selected as the threading prediction, and the target skeleton model is constructed by placing the skeleton atoms of the target sequence in the position of the alignment skeleton of the selected structure template. Unlike just performing sequence comparisons, these methods utilize other information provided by 3D structural information. The generated structural models have been quality verified and can be used for computer software or protein engineering, drug design, and other downstream experimental work.
Cycle Depends on the time you need to simulate and the time required for the system to reach equilibrium.
Product delivery mode The simulation results provide you with the raw data and analysis results of molecular dynamics.
Price Inquiry

MedAI's fold recognition service can reduce the cost of subsequent experiments. Fold recognition service is a personalized and customized innovative scientific research service. Before determining the corresponding analysis plan and price, each project needs to be evaluated. If you want to know more about service prices or technical details, please feel free to contact us. If you want to know more about service prices or technical details, please feel free to contact us.


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Please submit a detailed description of your project. We will provide you with a customized project plan to meet your research requests. You can also send emails directly to for inquiries.

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