# List of protein structure prediction software ## Links (Wikipedia order) <!-- injected from _registry/childlinks/List_of_protein_structure_prediction_software.json (2026-07-30T02:09:12Z) --> `Abalone_(molecular_mechanics)` · `AlphaFold` · `BLAST_(biotechnology)` · `Biskit` · [[Comparison_of_nucleic_acid_simulation_software]] · [[Comparison_of_software_for_molecular_mechanics_modeling]] · `Computational_biology` · `Computational_chemistry` · `Computational_physics` · `Computational_social_science` · `Computational_sociology` · `Computer_simulation` · `Computer_simulation_and_organizational_studies` · `Crash_simulation` · `De_novo_protein_structure_prediction` · `Discrete-event_simulation` · `Dynamical_simulation` · `ESyPred3D` · `Electronic_circuit_simulation` · `FoldX` · `Fortran` · `HH-suite` · `Homology_modeling` · `I-TASSER` · `IntFOLD` · [[List_of_chemical_process_simulators]] · `List_of_cosmological_computation_software` · `List_of_finite_element_software_packages` · `List_of_protein_secondary_structure_prediction_programs` · `List_of_quantum_chemistry_and_solid-state_physics_software` · `List_of_software_for_Monte_Carlo_molecular_modeling` · `MODELLER` · `Molecular_Operating_Environment` · [[Molecular_design_software]] · [[Molecular_dynamics]] · `Multiphysics_simulation` · `Network_simulation` · `Network_traffic_simulation` · `Perl` · `Phyre` · `Protein_design` · `Protein_structure_prediction` · `Python_(programming_language)` · `RaptorX` · `Reservoir_simulation` · `Robotics_simulator` · `Rosetta@home` · `Social_simulation` · `Supercomputing_Facility_for_Bioinformatics_and_Computational_Biology` · `Swiss-model` · `T-Coffee` > Summary stub · part of Systems Engineering · [Wikipedia source](https://en.wikipedia.org/wiki/List_of_protein_structure_prediction_software) ## Summary This list enumerates software for protein [[Structure|structure]] prediction, the computational determination of a protein's three-dimensional shape from its amino-acid [[Sequence|sequence]]. The field has been transformed by deep-learning methods, with AlphaFold achieving breakthrough accuracy, alongside long-standing tools such as Rosetta and I-TASSER. Accurate structure prediction informs biology, [[Medicine|medicine]], and drug design. The list catalogs both classical and machine-learning approaches. ## Key points - Enumerates protein structure prediction software - Predicts 3D structure from amino-acid sequence - Transformed by deep learning, notably AlphaFold - Includes classical tools like Rosetta and I-TASSER - Informs biology, medicine, and drug design ## Relation to Systems Engineering Protein structure prediction is a high-impact scientific-software domain illustrating how learning-based tools are integrated into research pipelines. ## Sources - [List of protein structure prediction software — Wikipedia](https://en.wikipedia.org/wiki/List_of_protein_structure_prediction_software) Back to Systems Engineering --- <!-- SEMIOTIC-PROFILE:START --> ## Semiotic profile > *The semiotic universals this article invokes, machine-derived from the crossref — **unverified** (born so). Populated 2026-07-06 for the Systems room.* **Universals (4):** 🟡 structure (8) · 🟡 system (4) · 🟡 sequence (3) · 🟢 transformation (2) **Enter by sign:** Systems Semiotic Gateway · Alphabetum · Icon Registry · ← Systems Portal <!-- SEMIOTIC-PROFILE:END --> ## Wikipedia : Wikitube **Strict pair:** [Wikipedia](https://en.wikipedia.org/wiki/List_of_protein_structure_prediction_software) : [Wikitube](https://en.wikitube.io/wiki/List_of_protein_structure_prediction_software) ## Previous hub tags Tree parent: [[Systems_engineering]]. Legacy hubs: none. --- *Sources: 1 legacy note. Minted wave 1, 2026-07-30 (v1.6 order).*