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Related Concept Videos

Protein Folding01:22

Protein Folding

Overview
Protein Folding01:25

Protein Folding

Proteins are chains of amino acids linked together by peptide bonds. Upon synthesis, a protein folds into a three-dimensional conformation, critical to its biological function. Interactions between its constituent amino acids guide protein folding, and hence the protein structure is primarily dependent on its amino acid sequence.
Protein Structure Is Critical to Its Biological Function
Proteins perform a wide range of biological functions such as catalyzing chemical reactions, providing...
Protein Folding01:22

Protein Folding

Overview
Protein Organization01:24

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 Organization01:13

Protein Organization

Overview
Protein Organization01:24

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.

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Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
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Proteins: sequence to structure and function--current status.

Sandhya R Shenoy1, B Jayaram

  • 1Department of Chemistry & Supercomputing Facility for Bioinformatics and Computational Biology, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110 016, India.

Current Protein & Peptide Science
|October 5, 2010
PubMed
Summary
This summary is machine-generated.

Computational Structural Biology analyzes vast sequence data to predict protein structure and function. This review assesses current methods and future challenges in deciphering biological sequences.

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Area of Science:

  • Computational Structural Biology
  • Bioinformatics
  • Genomics

Background:

  • Shift from Structural Biology to sequence analysis driven by genome projects.
  • Diverging sequence/structure data presents a significant challenge.
  • Need to translate mass sequence information into biochemical and biophysical knowledge.

Purpose of the Study:

  • Critically assess the capabilities and limitations of biological sequence analysis.
  • Identify unresolved major issues in deciphering structural, functional, and evolutionary clues from sequences.
  • Provide insights into the meaning encoded within biological sequences.

Main Methods:

  • Pattern recognition techniques for sequence similarity detection to infer structure and function.
  • Ab initio prediction methods to deduce 3D structure directly from linear sequences.
  • Review of various sub-fields including protein sequences, tertiary structure prediction, membrane protein bioinformatics, and protein-protein interactions.

Main Results:

  • Two primary analytical themes: similarity-based inference and de novo structure prediction.
  • Exploration of diverse applications: human proteome, metabolic networks, drug targets, disordered proteins.
  • Discussion on the fundamental sequence-structure relationship and chemical logic.

Conclusions:

  • Sequence analysis is crucial for understanding biological systems in the post-genomic era.
  • Current methods offer powerful tools but have limitations that require further research.
  • Resolving the sequence/structure deficit remains a central challenge for Computational Structural Biology.