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Related Concept Videos

Conservation of Protein Domains Over Different Proteins02:26

Conservation of Protein Domains Over Different Proteins

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Conservation of Protein Domains02:26

Conservation of Protein Domains

Protein domains are small structurally independent units that are part of a single amino acid chain.  Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to form...
Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...

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Related Experiment Video

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A Protocol for Computer-Based Protein Structure and Function Prediction
16:41

A Protocol for Computer-Based Protein Structure and Function Prediction

Published on: November 3, 2011

Gene ontology-based protein function prediction by using sequence composition information.

Qiwen Dong1, Shuigeng Zhou, Lei Deng

  • 1Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, China. qwdong@fudan.edu.cn

Protein and Peptide Letters
|December 10, 2009
PubMed
Summary
This summary is machine-generated.

Predicting protein function from sequence is challenging. This study developed an efficient method using protein sequence composition, achieving high accuracy with InterPro domains and improving efficiency with feature extraction techniques.

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Area of Science:

  • Computational biology
  • Bioinformatics
  • Genomics

Background:

  • Protein function prediction is crucial for understanding biological systems.
  • Current methods often require extensive experimental data.
  • Sequence-based prediction offers a complementary approach.

Purpose of the Study:

  • To develop an efficient computational method for predicting protein function using only primary sequence information.
  • To evaluate different sequence composition features for prediction accuracy.
  • To assess the impact of feature extraction techniques on prediction performance.

Main Methods:

  • Representing protein sequences using occurrence frequencies of N-grams, binary profiles, PFAM, and InterPro domains.
  • Employing Support Vector Machines (SVM) for function prediction based on Gene Ontology (GO).
  • Applying feature extraction algorithms like Latent Semantic Analysis (LSA) and Non-negative Matrix Factorization (NMF).

Main Results:

  • Protein function can be effectively predicted from primary sequence data.
  • The InterPro domain-based method achieved the highest accuracy (0.87) and ROC score (0.93).
  • Feature extraction techniques improved prediction efficiency and noise reduction without significant performance loss.

Conclusions:

  • Sequence composition, particularly InterPro domains, is a powerful predictor of protein function.
  • Feature extraction methods enhance the practicality of sequence-based function prediction.
  • This approach provides valuable insights for computational biology research.