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Related Concept Videos

Protein Dynamics in Living Cells01:19

Protein Dynamics in Living Cells

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Different fluorescence-based techniques are used to study the protein dynamics in living cells. These techniques include FRAP, FRET, and PET.
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Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
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Proteins are one of the most abundant organic molecules in living systems and have the most diverse range of functions of all macromolecules. Proteins may be structural, regulatory, contractile, or protective. They may serve in transport, storage, or membranes; or they may be toxins or enzymes. Their structures, like their functions, vary greatly. They are all, however, amino acid polymers arranged in a linear sequence.
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Related Experiment Video

Updated: Nov 10, 2025

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
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ProDy 2.0: increased scale and scope after 10 years of protein dynamics modelling with Python.

She Zhang1, James M Krieger1, Yan Zhang1

  • 1Department of Computational and Systems Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA.

Bioinformatics (Oxford, England)
|April 6, 2021
PubMed
Summary

ProDy 2.0 enhances protein dynamics analysis with improved database integration and new tools for protein families, supramolecular systems, and essential site identification. This computational biology resource supports evolving research needs.

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Area of Science:

  • Computational biology
  • Structural bioinformatics
  • Biophysics

Background:

  • The ProDy application programming interface (API) facilitates protein dynamics modeling and analysis.
  • Recent advancements in computational biology necessitate continuous updates to bioinformatics tools.

Purpose of the Study:

  • To present the major developments in ProDy version 2.0.
  • To enhance the capabilities of ProDy for analyzing protein dynamics.

Main Methods:

  • ProDy 2.0 features improved database interfacing and support for new file formats.
  • Integration of SignDy for analyzing signature dynamics in protein families.
  • Inclusion of CryoDy for studying collective dynamics of supramolecular systems using cryo-electron microscopy (cryo-EM) density maps.
  • Development of essential site scanning for identifying key residues modulating protein dynamics.

Main Results:

  • ProDy 2.0 offers expanded functionality for computational biologists.
  • Enhanced tools enable more comprehensive analysis of protein dynamics across various systems.
  • New features support the integration of diverse biological data.

Conclusions:

  • ProDy 2.0 represents a significant evolution of the ProDy API.
  • The updated version addresses the growing data and analytical needs of the computational biology community.
  • ProDy 2.0 provides advanced capabilities for protein dynamics research.