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●TM-score ●TM-align ●US-align ●MM-align ●RNA-align ●NW-align ●LS-align ●EDTSurf ●MVP ●MVP-Fit ●SPICKER ●HAAD ●PSSpred ●3DRobot ●MR-REX ●I-TASSER-MR ●SVMSEQ ●NeBcon ●ResPRE ●TripletRes ●DeepPotential ●WDL-RF ●ATPbind ●DockRMSD ●DeepMSA ●DeepMSA2 ●FASPR ●EM-Refiner ●GPU-I-TASSER

●BioLiP ●E. coli ●GLASS ●GPCR-HGmod ●GPCR-RD ●GPCR-EXP ●Tara-3D ●TM-fold ●DECOYS ●POTENTIAL ●RW/RWplus ●EvoEF ●HPSF ●THE-DB ●ADDRESS ●Alpaca-Antibody ●CASP7 ●CASP8 ●CASP9 ●CASP10 ●CASP11 ●CASP12 ●CASP13 ●CASP14

D-I-TASSER download

This page includes datasets and standalone packages of D-I-TASSER. The D-I-TASSER Suite is a package of standalone programs for deep learning-based protein structure prediction. The user manual is at README.txt. Please report bugs and questions at Zhang Lab Service System Discussion Board. The D-I-TASSER Suite is free for academic and non-profit researchers.

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The benchmark dataset used in the D-I-TASSER paper can be downloaded at

• benchmarkdataset.zip: benchmark dataset of the D-I-TASSER paper.

D-I-TASSER standalone package download:

• For academic users, please click here to download the D-I-TASSER Suite.
• If you need D-I-TASSER Suite for a commercial use, please contact us through zhanglabzhanggroup.org.

D-I-TASSER sequence library download:

• uniclust30_2017_04_hhsuite.tar.gz: Uniclust30 library (for D-I-TASSER, DeepMSA/DeepMS2/DeepMSA2-IMG).
• uniref90.fasta.gz: UniRef90 library (for D-I-TASSER, DeepMSA/DeepMS2/DeepMSA2-IMG).
• metaclust_2017_05.fasta.gz: Metaclust library (for D-I-TASSER, DeepMSA/DeepMS2/DeepMSA2-IMG).
• bfd_metaclust_clu_complete_id30_c90_final_seq.sorted_opt.tar.gz: BFD library (for D-I-TASSER, DeepMS2/DeepMSA2-IMG).
• mgy_clusters.clean.fasta: Mgnify library (for D-I-TASSER, DeepMS2/DeepMSA2-IMG).
• mgy_clusters.clean.fasta.ssi: Mgnify library index (for D-I-TASSER, DeepMS2/DeepMSA2-IMG).

D-I-TASSER sequence library, IMG/JGI metagenome database, producted by Zhang Lab (for D-I-TASSER, DeepMSA2-IMG). Here, we currently provide a demo library for program testing. For full version, you can download the D-I-TASSER suite first, and then use download_lib.pl download the library with parameter " -MSA DeepMSA2-IMG ".

• JGI list
• DB.fasta.bq
• DB.fasta.bq.ssi

D-I-TASSER main library download:

• CE (~7500MB): CEthreader library (for D-I-TASSER, LOMETS2 and CEthreader).
• PDB (~1482MB): non-redundant protein structures from PDB (for D-I-TASSER, LOMETS2/3, MUSTER, CEthreader and SEGMER).
• MTX (~526MB): Sequence profiles from PSI-BLAST search (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
• DEP (~315MB): Depth-dependent structure profiles of templates (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
• SIG (~334MB): Residue environmental profiles of templates (for D-I-TASSER, LOMETS2/3).
• CNT (~133MB): Side-chain center contacts of templates (for D-I-TASSER, LOMETS2/3).
• dotProfile (~173MB): Sequence profiles from PSI-BLAST search (for D-I-TASSER, LOMETS2/3).
• stride (~3MB): Seven state secondary structure assignment (for D-I-TASSER, LOMETS2/3).
• summary1 (~66MB): Sequence, secondary structure, solvent accessibilty, phi/psi angles (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
• summary2 (~185MB): Training data for phi/psi prediction and contact prediction by SVM (for D-I-TASSER, LOMETS2/3, MUSTER and SEGMER).
• Bfactor (~155MB): B-factor values of templates (for B-factor profile prediction).

AlphaFold2 library used in D-I-TASSER-AF2 pipeline download:

• Please download the D-I-TASSER suite first, then use download_lib.pl download the library with parameter " -ITmode DIT-AF2 "

Functional library files needed for the COFACTOR and COACH programs. All the libraries in BioLiP are weekly updated.

• BioLiP: Ligand-protein binding database.

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References:

• Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Chunxiang Peng, Yiheng Zhu, Lydia Freddolino, Yang Zhang. Deep learning-based single- and multi-domain protein structure prediction with D-I-TASSER. Nature Biotechnology, in press (2025).

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