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Structure Prediction and Assessment

Accurate understanding of three-dimensional (3D) structure of proteins by structure prediction and assessment is pivotal for mastering their biological functions and drug discovery. Creative Biolabs has absolute advantages in offering a series of protein structure prediction and assessment services, based on our highly specialized platforms and professional team.

Introduction to Protein Structure Prediction and Assessment

Conventionally experimental methods by crystallography, nuclear magnetic resonance or electron microscopy are difficult for protein 3D structure determinations. With the progress of DNA sequencing technologies, the gap between the numbers of identified protein 3D structures and obtained protein sequences is continuously widening.

Protein structure prediction is a process of inference that predicts the secondary, tertiary, and quaternary structures of proteins based on primary structure or amino acid sequence of proteins. It has been indicated that the amino acid sequence determined the basic molecular composition and fold information of the protein, while spatial structure provides abundant information for hypothesis and analysis of biological functions. Protein structure assessment aims to address the question of evaluating the quality and accuracy of structure modeling or structure prediction. Therefore, prediction and assessment of protein structure using advanced technical methods have been well developed since the end of the 20th century.

The general flowchart of protein structure prediction. Fig.1 The general flowchart of protein structure prediction. (Deng, 2018)

Services

Protein structure modeling is to construct a 3D structure model of a protein from its amino acid sequences by a series of methods and computational algorithms. Plenty of methods and software tools have been developed in recent years, of which comparative modeling, de novo modeling, Rosetta, MODELLER, SWISS-model, etc. are more commonly preferred options. Scientists at Creative Biolabs offer a variety of protein structure modeling services based on rich experience and powerful technology platforms.

Protein fold recognition, also termed as protein threading, is a template-based protein structure modeling approach by using known protein structures with the same folds. Different from comparative modeling, protein fold recognition predicts the target structure by arranging the target amino acid sequence to a position in the template structure and evaluating the matching between the target and the template. Creative Biolabs provides professional protein fold recognition services for protein structure prediction.

The quality and accuracy of protein structure modeling determine its possible applications, as a consequence, it is of significance to beforehand evaluate the quality of modeling produced by different computational methodologies. Protein structure assessment is just the solution of protein structure evaluation by experiments and algorithms. We provide extensive protein structure assessment services including folding pattern correction, secondary and tertiary structure prediction evaluation, the accuracy of different regions estimation, and so forth.

Over the past years, Creative Biolabs has developed a highly specialized platform as well as various comprehensive and innovative protocols for protein structure prediction to meet our client's requirements. We are more than happy to share our experience and expertise to help our customers in protein structure prediction and assessment. Please contact us for more information and a detailed quote.

Reference

  1. Deng, H.Y.; et al. Protein structure prediction. International Journal of Modern Physics B. 2018, 32(18): 1840009.

All listed services and products are For Research Use Only. Do Not use in any diagnostic or therapeutic applications.

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