| Name | Method | Description | Release date |
| IntFOLD | A unified interface for: Tertiary structure prediction/3D modelling, 3D model quality assessment, Intrinsic disorder prediction, Domain prediction, Prediction of protein-ligand binding residues | Automated webserver and some downloadable programs | - |
| RaptorX | remote homology detection, protein 3D modeling, binding site prediction | Automated webserver and Downloadable program | - |
| Biskit | wraps external programs into automated workflow | BLAST search, T-Coffee alignment, and MODELLER construction | - |
| ESyPred3D | Template detection, alignment, 3D modeling | Automated webserver | - |
| FoldX | Energy calculations and protein design | Downloadable program | - |
| Phyre, Phyre2 | Remote template detection, alignment, 3D modeling, multi-templates, ab initio | Webserver with job manager, automatically updated fold library, genome searching and other facilities | - |
| HHpred | Template detection, alignment, 3D modeling | Interactive webserver with help facility | - |
| MODELLER | Satisfaction of spatial restraints | Standalone program mainly in Fortran and Python | - |
| CONFOLD | Satisfaction of contact and distance restraints | Standalone program mainly in Fortran and Perl | - |
| Molecular Operating Environment | Template identification, use of multiple templates and accounting for other environments, loop modelling, rotamer libraries for sidechain conformations, relaxation using MM forcefields. | Proprietary platform, supported on Windows, Linux and Mac | - |
| Robetta | Rosetta homology modeling and ab initio fragment assembly with Ginzu domain prediction | Webserver | - |
| BHAGEERATH-H | Combination of ab initio folding and homology methods | Protein tertiary structure predictions | - |
| Swiss-model | Local similarity/fragment assembly | Automated webserver | - |
| Yasara | Detection of templates, alignment, modeling incl. ligands and oligomers, hybridization of model fragments | Graphical interface or text mode | - |
| AWSEM-Suite | Molecular dynamics simulation based on template-guided, coevolutionary-enhanced optimized folding landscapes | Automated webserver | - |
| Name | Method | Description | Release date |
| IntFOLD | A unified interface for: Tertiary structure prediction/3D modelling, 3D model quality assessment, Intrinsic disorder prediction, Domain prediction, Prediction of protein-ligand binding residues | Automated webserver and some downloadable programs | - |
| RaptorX | Remote template detection, single-template and multi-template threading, totally different from and much better than the old program RAPTOR designed by the same group | Webserver with job manager, automatically updated fold library | - |
| HHpred | Template detection, alignment, 3D modeling | Interactive webserver with help facility | - |
| Phyre, Phyre2 | Remote template detection, alignment, 3D modeling, multi-templates, ab initio | Webserver with job manager, automatically updated fold library, genome searching and other facilities | - |
| I-TASSER | Threading fragment structure reassembly | On-line server for protein modeling https://zhanggroup.org/I-TASSER/ | - |
| Name | Method | Description | Release date |
| trRosetta | trRosetta is an algorithm for fast and accurate protein structure prediction. It supports single-sequence structure prediction with trRosettaX-Single. | Webserver and source codes available at: https://yanglab.qd.sdu.edu.cn/trRosetta/ | - |
| ROBETTA | Rosetta homology modeling and ab initio fragment assembly with Ginzu domain prediction | Webserver | - |
| Rosetta@home | Distributed-computing implementation of Rosetta algorithm | Downloadable program | - |
| Abalone | Molecular Dynamics folding | Program | - |
| C-QUARK | C-QUARK is a method for ab initio protein structure prediction. Based on deep-learning based contact-map predictions into the fragment assembly simulations. | Webserver https://zhanggroup.org/C-QUARK/ | - |
| AlphaFold2 | An end-to-end deep learning framework for protein structure prediction | Webserver and downloadable program | - |
| D-I-TASSER | The deep learning-based I-TASSER program reportedly outperforms both AlphaFold2 and AlphaFold3 | Webserver https://zhanggroup.org/D-I-TASSER/ | - |