bio-modelsBiological AI Models
Biological AI Models · Protein Design

EvoDiff

By Microsoft Research / EvoDiff authors

Protein sequence generation using discrete diffusion

Protein sequence generation using discrete diffusion. Generated sequences need functional and expression testing; no biological performance guarantee.

Protein sequence generation using discrete diffusionInput: Sequence or alignment context and generation settingsOutput: Candidate protein sequences
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Overview

Protein sequence generation using discrete diffusion. Generated sequences need functional and expression testing; no biological performance guarantee.

Information checked against an official source; not a hands-on test. Source · Last reviewed: 17/09/2026, 16:20:54

Key Features

  • Protein sequence generation using discrete diffusion
  • Input: Sequence or alignment context and generation settings
  • Output: Candidate protein sequences
Interactive 3D Structure

EvoDiff Predicted Complex

Streams real 3D atomic coordinates from RCSB Protein Data Bank
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pLDDT / B-Factor:
>90 Very high 70-90 Confident 50-70 Low <50 Very low

Academic Context & Research Evidence

Biological & Workflow Fit

Compute & Hardware
See source requirements for selected configuration
Licensing & Academic Use
Review code, weights, data and service terms separately
Documented Evidence
Project/provider documentation; no local benchmark

Cite this Tool

Use this citation format when referencing EvoDiff in scientific publications and benchmark papers.

@software{evodiff_2026,
  title = {{EvoDiff}},
  author = {{Microsoft Research / EvoDiff authors}},
  year = {2026},
  url = {https://github.com/microsoft/evodiff},
  note = {Indexed on aibioatlas - AI for Biology and Drug Discovery}
}

Peer-Reviewed Literature & Preprints

Live scientific citations streamed from Europe PMC and PubMed for EvoDiff.

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Technical / Product Information

Missing values mean the catalog has no recorded information. They do not mean a feature is absent.

Entry typeResearch software / framework
Access modePublic code / project terms
AI roleScientific machine learning
Input dataSequence or alignment context and generation settings
Output dataCandidate protein sequences
Licence conditionsReview code, weights, data and service terms separately
Commercial eligibilityNot independently confirmed
Compute requirementsSee source requirements for selected configuration
ValidationNot recorded
TypeNot recorded
Intended useBiological and pharmaceutical research
CompatibilityNot recorded
LimitationsGenerated sequences need functional and expression testing; no biological performance guarantee.
Evidence levelProject/provider documentation; no local benchmark
AvailabilitySee project release and maintenance status
Price / accessSee project terms; compute costs may apply

Research fit & compatibility

No software–hardware integration has been verified for this entry yet. Explore documented research workflows.

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Alternatives

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FAQ

Where is this product available?

See project release and maintenance status

How is pricing handled?

Prices reflect the source at its last check. Confirm current pricing and regional availability on the official site.

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Peer Reviews & Community Ratings

Feedback from researchers and computational biologists evaluating EvoDiff.

5.0
★★★★★Based on 0 researcher evaluations
Biological Accuracy
4.8/5
Ease of Installation
4.3/5
Documentation & Code
4.6/5