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Related Concept Videos

Ligand Binding Sites02:40

Ligand Binding Sites

Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Conserved Binding Sites01:49

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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...
Single-Strand DNA Binding Proteins01:03

Single-Strand DNA Binding Proteins

For successful DNA replication, the unwinding of double-stranded DNA must be accompanied by stabilization and protection of the separated single strands of the DNA. This crucial task is performed by single-strand DNA-binding (SSB) proteins. They bind to the DNA in a sequence-independent manner, which means that the nitrogenous bases of the DNA need not be present in a specific order for binding of SSB proteins to it. The binding of SSB proteins straightens single-stranded DNA (ssDNA) and makes...
Conserved Binding Sites01:49

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.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally analyses the...

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A Protocol for Computer-Based Protein Structure and Function Prediction
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Published on: November 3, 2011

Use Chou's 5-Step Rule to Predict DNA-Binding Proteins with Evolutionary Information.

Weizhong Lu1,2, Zhengwei Song1, Yijie Ding1,2

  • 1School of Electronic and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.

Biomed Research International
|August 11, 2020
PubMed
Summary

Predicting DNA-binding proteins aids cellular understanding. This study introduces a machine learning model using evolutionary information and support vector machines, achieving high accuracy in identifying these crucial proteins.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Computational Biology

Background:

  • Understanding DNA-binding proteins is crucial for elucidating cellular biological processes.
  • Accurate prediction of DNA-binding proteins can advance research in drug discovery and computational drug design.
  • Current machine learning methods show promise but require further improvement for enhanced prediction performance.

Purpose of the Study:

  • To develop an improved machine learning model for predicting DNA-binding proteins.
  • To leverage evolutionary information and support vector machine methods for enhanced prediction accuracy.
  • To evaluate the proposed model using benchmark and independent datasets.

Main Methods:

  • Utilized evolutionary information derived from protein sequences.
  • Employed the support vector machine (SVM) algorithm for classification.
  • Applied Chou's 5-step rule for feature extraction and model development.
  • Validated the model on the PDB1075 benchmark dataset and the PDB186 independent dataset.

Main Results:

  • The proposed machine learning model achieved an accuracy of 86.05% on the PDB1075 dataset.
  • The model demonstrated a predictive accuracy of 75.30% on the independent PDB186 dataset.
  • The results indicate that the developed method is comparable and potentially superior to existing approaches.

Conclusions:

  • The integration of evolutionary information with support vector machines offers a robust approach for DNA-binding protein prediction.
  • The proposed Chou's 5-step rule-based method demonstrates significant potential for improving the accuracy of DNA-binding protein identification.
  • This research contributes to the advancement of bioinformatics tools for understanding protein function and facilitating drug development.