🧬 How to use AfCycDesign Online

Use AfCycDesign online for cyclic peptide design and macrocycle structure evaluation.

AfCycDesign adapts AlphaFold2 to cyclic peptides, a regime where limited structural data makes both design and evaluation difficult. The method was introduced to predict and design macrocyclic peptide backbones more reliably than generic protein-folding workflows.

On Neurosnap, you can start from a Template Structure and Chain or explore de novo ideas with De novo Template Sequence. The service is built for macrocycle prototyping, with results centered on whether the designed cyclic model looks both plausible and high confidence.

How AfCycDesign Works

The core change in AfCycDesign is that the AlphaFold architecture is modified to respect cyclic peptide geometry, letting the model reason about a closed backbone instead of an open polypeptide chain. The paper uses the method both to recover native cyclic structures and to explore new macrocyclic designs with structurally diverse, high-confidence candidates.

On Neurosnap, De novo Sequence Length is available when users want the system to explore new cyclic peptide lengths. The results page emphasizes confidence and alignment-error plots, the designed cyclic structure, and an animation of sampled designs so researchers can judge whether a candidate is worth carrying into synthesis or further modeling.

What is Neurosnap?

Neurosnap is the leading platform for bioinformatics and computational science focused on expanding access to powerful modeling and simulation tools. Because many state-of-the-art machine learning systems remain complex to install, configure, and scale, Neurosnap offers a clean, browser-based workspace that removes the burden of infrastructure management, dependency conflicts, and command-line tooling.

Built for biologists, chemists, and cross-disciplinary scientists, the platform enables advanced computational workflows without requiring expertise in software engineering or cloud architecture. Researchers can launch analyses through an intuitive interface, connect programmatically through a comprehensive API, and rely on automated resource management to scale workloads efficiently. By taking care of the underlying compute and operational complexity, Neurosnap allows teams to devote their energy to scientific progress and faster iteration. Security and data protection remain foundational principles, with clear safeguards outlined in our Terms of Use and Privacy Policy to ensure your work stays protected.

Advancing Discovery with AfCycDesign on Neurosnap

Using AfCycDesign on Neurosnap could drastically accelerate cyclic peptide design and macrocycle structure triage from template-guided or de novo inputs.

Study-fit inputs: AfCycDesign supports both template-guided and de novo cyclic peptide workflows, which is useful when a starting macrocycle exists but exploratory design is also needed.
Cycle-aware modeling: The method is built specifically around cyclic geometry instead of treating a macrocycle like a standard linear peptide.
Protocol control: Researchers can tune De novo Sequence Length when exploring new cyclic peptide sizes.
Readable evidence: Confidence plots, alignment-error summaries, structure views, and design animations make it easier to separate promising macrocycles from low-confidence proposals.
Faster iteration: Managed execution on Neurosnap removes infrastructure overhead so teams can focus on macrocycle selection rather than adapting AlphaFold-based design code locally.

How to Use AfCycDesign on Neurosnap

To harness the capabilities of AfCycDesign, researchers can follow this streamlined workflow within Neurosnap:

Access Neurosnap: Start by logging in to the Neurosnap website.
Select Tool: From the list of available tools, choose AfCycDesign.
Provide Inputs: Provide all the inputs specified within the submission panel and optionally configure the tool as desired.
Run Tool: Submit the AfCycDesign job and Neurosnap will execute it in the cloud, automatically notifying you as soon as your results are ready.
Review Output: Explore your results through rich visualizations, including figures, plots, and interactive views designed to help you analyze findings with clarity and confidence.

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