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Protein Organization

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Proteins are polymers of amino acid residues. They are versatile and responsible for different cellular functions, including DNA replication, molecular transport, catalysis, and structural support. Proteins have a hierarchical structure comprising at least three levels of organization: primary, secondary, and tertiary structure. Some large proteins have a quaternary structure where individual protein subunits are linked together.
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Related Experiment Video

Updated: Jun 8, 2026

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D 1H NMR

Structure and Coordination Determination of Peptide-metal Complexes Using 1D and 2D ¹H NMR

Published on: December 16, 2013

Automated protein NMR structure determination in solution.

Wolfram Gronwald¹, Hans Robert Kalbitzer

¹Institute for Biophysics and Physical Biochemistry, University of Regensburg, Regensburg, Germany.

Methods in Molecular Biology (Clifton, N.J.)

|September 14, 2010

Summary

This summary is machine-generated.

Automated methods significantly accelerate protein structure determination using Nuclear Magnetic Resonance (NMR) spectroscopy by reducing manual spectral analysis. These advancements are crucial for efficiently solving protein structures, especially for larger or complex molecules.

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Area of Science:

Biochemistry
Structural Biology
Spectroscopy

Background:

Protein structure determination is time-consuming, primarily due to manual analysis of experimental spectra.
Current limitations exist for larger or complex proteins, requiring expert intervention.

Purpose of the Study:

To summarize recent developments in automated protein structure determination.
To highlight practical aspects for successful automated structure determination in solution.
To review automated approaches for structure validation.

Main Methods:

Review of recent advancements in automated spectral analysis for protein NMR.
Discussion of practical considerations for implementing automated workflows.
Examination of automated structure validation techniques.

Main Results:

Automation is highly effective for smaller, well-behaved proteins (<25 kDa).
Automated routines substantially speed up structure determination for larger/difficult proteins.
Automated methods are also being developed for structure validation.

Conclusions:

Automation is key to overcoming bottlenecks in protein NMR structure determination.
Further development of automated methods will enhance efficiency and accessibility.
Automated validation is an integral part of the structure determination process.