I-TASSER explained

I-TASSER
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Developer:Yang Zhang Lab

I-TASSER (Iterative Threading ASSEmbly Refinement) is a bioinformatics method for predicting three-dimensional structure model of protein molecules from amino acid sequences. It detects structure templates from the Protein Data Bank by a technique called fold recognition (or threading). The full-length structure models are constructed by reassembling structural fragments from threading templates using replica exchange Monte Carlo simulations. I-TASSER is one of the most successful protein structure prediction methods in the community-wide CASP experiments.

I-TASSER has been extended for structure-based protein function predictions, which provides annotations on ligand binding site, gene ontology and enzyme commission by structurally matching structural models of the target protein to the known proteins in protein function databases. It has an on-line server built in the Yang Zhang Lab at the University of Michigan, Ann Arbor, allowing users to submit sequences and obtain structure and function predictions. A standalone package of I-TASSER is available for download at the I-TASSER website.

Ranking in CASP

I-TASSER (as 'Zhang-Server') has been consistently ranked as the top method in CASP, a community-wide experiment to benchmark the best structure prediction methods in the field of protein folding and protein structure prediction. CASP takes place every two years since 1994.

Method and pipeline

I-TASSER is a template-based method for protein structure and function prediction. The pipeline consists of six consecutive steps:

On-line Server

The I-TASSER server allows users to generate automatically protein structure and function predictions.

Standalone Suite

The I-TASSER Suite is a downloadable package of standalone computer programs, developed by the Yang Zhang Lab for protein structure prediction and refinement, and structure-based protein function annotations. Through the I-TASSER License, researchers have access to the following standalone programs:

Help documents

External links