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Protein Organization

Protein Organization

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.
The primary structure of a protein is its amino acid sequence....

Protein Organization

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Conserved Binding Sites

Conserved Binding Sites

Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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Conserved Binding Sites

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Fischer Projections

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...

Newman Projections

Newman Projections

Different notations are used to represent the three-dimensional structure of molecules on two-dimensional surfaces. One of the most commonly used representations is the dash-wedge formula. The dashed wedges, solid wedges, and the plane lines indicate the groups situated behind the plane, coming out of the plane, and in the plane, respectively.
The organic molecules rotate across the single bonds leading to numerous temporary three-dimensional structures of varying energy known as...

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Related Experiment Video

Updated: Nov 5, 2025

A Protocol for Computer-Based Protein Structure and Function Prediction

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Structural coordinates: A novel approach to predict protein backbone conformation.

Vladislava Milchevskaya¹, Alexei M Nikitin², Sergey A Lukshin²

¹Institute of Medical Statistics and Bioinformatics, Faculty of Medicine, University of Cologne, Cologne, Germany.

|May 20, 2021

Summary

This study introduces a novel method for protein structure prediction, representing local peptide structures by their similarity to multiple basic forms. This approach improves classification accuracy without relying on homologous proteins, enhancing protein structure analysis.

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Area of Science:

Biochemistry
Structural Biology
Computational Biology

Background:

Traditional protein structure classification methods often rely on homologous proteins and can lose information by assigning peptides to single classes.
Existing approaches face challenges with varying numbers of structural classes, peptide lengths, and class attribution criteria.

Purpose of the Study:

To develop a novel method for representing local protein structure based on sequence similarity to multiple representative structures.
To improve the accuracy of local protein structure prediction without using homologous protein information.

Main Methods:

A new method constructs peptide structural representations by quantifying similarity to multiple basic representative structures.
The approach utilizes amino acid physicochemical properties and statistics from resolved protein structures.
No information from homologous proteins is used in the prediction model.

Main Results:

Achieved Q16 classification accuracy of 67.9% for 5-mer peptides against 16 representative structures, surpassing current literature.
Demonstrated that 3D peptide coordinates can be uniquely recovered from the proposed structural representations.
Identified conditions for unique coordinate recovery under various geometric constraints.

Conclusions:

The proposed method offers a more informative and accurate way to represent local protein structures directly from sequence.
This approach overcomes limitations of traditional classification methods, particularly the reliance on homologous sequences.
The ability to recover 3D coordinates from the new representation opens possibilities for detailed structural analysis and prediction.