List of protein structure prediction software

From WikiMD's Wellness Encyclopedia

Protein-structure

List of Protein Structure Prediction Software

Protein structure prediction software refers to computer programs and algorithms designed to predict the three-dimensional structure of proteins based on their amino acid sequences. These tools are essential in bioinformatics and structural biology for understanding protein function, drug design, and disease mechanisms. Here is a list of notable protein structure prediction software: 1. AlphaFold

  - Developed by DeepMind, AlphaFold is a deep learning-based system that has achieved remarkable accuracy in predicting protein structures. It uses a neural network to model the complex relationship between protein sequences and structures.

2. I-TASSER

  - I-TASSER (Iterative Threading ASSEmbly Refinement) is a widely used protein structure prediction server that combines threading, ab initio modeling, and structural refinement methods to generate accurate structural models.

3. Rosetta

  - Rosetta is a suite of software tools developed by the Baker laboratory at the University of Washington for protein structure prediction and design. It uses a combination of physics-based energy functions and optimization algorithms.

4. SWISS-MODEL

  - SWISS-MODEL is a fully automated protein structure homology-modeling server that generates high-quality structural models based on known template structures. It is widely used for predicting protein structures in the absence of experimental data.

5. Phyre2

  - Phyre2 is a protein fold recognition server that predicts protein structures by identifying homologous structures in the Protein Data Bank (PDB). It uses a combination of profile-profile alignment and ab initio modeling methods.

6. RaptorX

  - RaptorX is a protein structure prediction server that integrates template-based modeling, free modeling, and deep learning-based methods to generate accurate protein structures. It is known for its speed and accuracy.

7. Robetta

  - Robetta is a protein structure prediction server developed by the Baker laboratory at the University of Washington. It combines ab initio modeling, threading, and refinement methods to predict protein structures with high accuracy.

8. QUARK

  - QUARK is an ab initio protein structure prediction server that generates structural models by assembling fragments derived from threading and de novo modeling methods. It is particularly useful for predicting the structures of novel proteins.

9. Modeller

  - Modeller is a software tool for comparative protein structure modeling that generates three-dimensional models based on known template structures. It is widely used for predicting protein structures with high accuracy.

10. C-I-TASSER

   - C-I-TASSER (Contact-guided Iterative Threading ASSEmbly Refinement) is an advanced version of I-TASSER that incorporates contact information derived from evolutionary couplings to improve the accuracy of protein structure predictions.

These are just a few examples of the many protein structure prediction software tools available to researchers in the field of bioinformatics and structural biology.

List of protein structure prediction software
Repository
  • {{URL|example.com|optional display text}}Lua error in Module:EditAtWikidata at line 29: attempt to index field 'wikibase' (a nil value).
Engine
    Lua error in Module:EditAtWikidata at line 29: attempt to index field 'wikibase' (a nil value).



    Template:Protein structure prediction software

    WikiMD
    Navigation: Wellness - Encyclopedia - Health topics - Disease Index‏‎ - Drugs - World Directory - Gray's Anatomy - Keto diet - Recipes

    Search WikiMD

    Ad.Tired of being Overweight? Try W8MD's physician weight loss program.
    Semaglutide (Ozempic / Wegovy and Tirzepatide (Mounjaro / Zepbound) available.
    Advertise on WikiMD

    WikiMD's Wellness Encyclopedia

    Let Food Be Thy Medicine
    Medicine Thy Food - Hippocrates

    WikiMD is not a substitute for professional medical advice. See full disclaimer.
    Credits:Most images are courtesy of Wikimedia commons, and templates Wikipedia, licensed under CC BY SA or similar.

    Contributors: Prab R. Tumpati, MD