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D-I-TASSER download
D-I-TASSER Suite is a package of standalone programs for distance-assisted protein structure prediction. The user manual is at README.txt. Please contact Wei Zheng for any problems or questions. The D-I-TASSER Suite is free for academic and non-profit
researchers.
D-I-TASSER benchmark datasets download:
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Please click
here
to download the D-I-TASSER single-domain and multi-domain benchmark datasets.
D-I-TASSER Suite download:
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For academic users, please click
here
to download the D-I-TASSER Suite.
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If you need D-I-TASSER Suite for a commercial use, please contact us through jlspzw@nankai.edu.cn.
D-I-TASSER library download:
D-I-TASSER third-party sequence library download:
uniclust30_2017_04: Uniclust30 HHblits style HMM sequence library (for D-I-TASSER, DeepMSA/DeepMS2).
uniref90: UniRef90 library (for D-I-TASSER, DeepMSA/DeepMS2).
metaclust: Metaclust library (for D-I-TASSER, DeepMSA/DeepMS2).
UniRef30_2022_02: UniRef30 HHblits style HMM sequence library (for D-I-TASSER, DeepMS2).
BFD: BFD HHblits style HMM sequence library (for D-I-TASSER, DeepMS2).
MGnify: MGnify library (for D-I-TASSER, DeepMS2).
D-I-TASSER non-redundant sequence library, sourced from JGIclust, TaraDB and MetaSourceDB metagenome databases with 50% sequence identity threshold, producted by Zhang Lab (for MSA construction).
We recommand you download the D-I-TASSER Suite first, then use download_lib.py download this library.
JGI list
DB.fasta.aa
DB.fasta.aa.ssi
DB.fasta.ab
DB.fasta.ab.ssi
DB.fasta.ac
DB.fasta.ac.ssi
DB.fasta.ad
DB.fasta.ad.ssi
D-I-TASSER main library download:
CE: CEthreader library (for D-I-TASSER, LOMETS2/3 and CEthreader).
PDB:
non-redundant protein structures from PDB (for D-I-TASSER, LOMETS2/3, MUSTER, CEthreader and SEGMER).
MTX:
Sequence profiles from PSI-BLAST search (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
DEP
:
Depth-dependent structure profiles of templates (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
SIG:
Residue environmental profiles of templates (for D-I-TASSER, LOMETS2/3).
CNT:
Side-chain center contacts of templates (for D-I-TASSER, LOMETS2/3).
dotProfile:
Sequence profiles from PSI-BLAST search (for D-I-TASSER, LOMETS2/3).
stride:
Seven state secondary structure assignment (for D-I-TASSER, LOMETS2/3).
summary1:
Sequence, secondary structure, solvent accessibilty, phi/psi angles (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
summary2:
Training data for phi/psi prediction and contact prediction by SVM (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
Bfactor:
B-factor values of templates (for B-factor profile prediction).
nr:
Non-redundant NCBI sequence database (for secondary structure prediction etc).
AlphaFold2 library used in D-I-TASSER (with AlphaFold2 distance) pipeline:
AlphaFold2 parameters.
PDB70 library.
MMCIF format coordinates.
PDB sequences.
Small BFD sequence database.
Uniprot sequence database.
Template library files
needed for the COFACTOR and COACH programs.
All libraries are weekly updated.
BioLiP: Ligand-protein binding database.
Instruction on how to configure the D-I-TASSER libraries is available at README.txt
References:
Wentao Ni, Qiqige Wuyun, Quancheng Liu, Yilin Pu, Wei Zheng, Lydia Freddolino.
D-I-TASSER: A platform for single- and multi-domain protein structure and function predictions based on deep learning spatial restraints and knowledge-based potentials.
In preparation.
Wei Zheng, Qiqige Wuyun, Peter L Freddolino, Yang Zhang.
Integrating deep learning, threading alignments, and a multi-MSA strategy for high-quality protein monomer and complex structure prediction in CASP15.
Proteins. 2023; 1-20. doi:10.1002/prot.26585.