For molecular modelers, predicting biomolecular structures accurately and efficiently is a critical task. AlphaFold-2 has revolutionized this domain, offering high-accuracy predictions of protein structures. But did you know you can seamlessly harness the power of AlphaFold-2 within the SAMSON molecular design platform? This blog post will guide you through how to run structure predictions with AlphaFold-2 in SAMSON and simplify your workflows.
Why Structure Prediction Matters
Protein structures are fundamental to understanding biological mechanisms, designing drugs, and engineering enzymes. However, experimentally determining a protein structure can often be costly and time-consuming. Tools like AlphaFold-2 make it possible to close this gap by predicting structures computationally. SAMSON takes it one step further by integrating AlphaFold-2 into a user-friendly interface so that you can focus on your research—not complex setups.
How to Predict with AlphaFold-2 in SAMSON
Using AlphaFold-2 in SAMSON is a streamlined experience. Here’s how it works:
- Open the Home > Predict section in SAMSON.
- Choose the AlphaFold-2 service from the available options.
- Upload your FASTA files for the protein sequences you want to predict.
- Select the AlphaFold model you wish to use (e.g., monomer or multimer) based on your research needs.
- Choose the appropriate database for multiple sequence alignment based on the input complexity.
- Click on Start prediction to begin.
The calculations are performed in the cloud using high-performance compute instances, including machines equipped with A100 GPUs for faster execution.
Visualizing and Analyzing Results
Once predictions are complete, SAMSON makes it simple to access and review the results. Predicted structures are color-coded based on pLDDT values, providing insights into model confidence directly in the visual interface. You can explore these results within SAMSON by navigating to Interface > Cloud jobs, or you can check your active and completed jobs on SAMSON Connect > Account > Jobs.
Cloud Computing and Research Costs
Structure predictions in SAMSON using AlphaFold-2 are powered by secure cloud resources. Computing credits are necessary to perform these tasks—offering flexibility to choose the right machine for your budget and speed needs. If you need additional credits, you can either reach out to the SAMSON team (contact@samson-connect.net) or buy computing credits directly.
When and What to Cite
If you publish findings based on AlphaFold-2 predictions, be sure to cite the AlphaFold paper. When using the AlphaFold-Multimer model, cite the respective paper as well. Transparency in methodology is key to impactful scientific work.
Fast-Track Your Research Today
Integrating AlphaFold-2 into your modeling pipeline has never been easier. By bringing advanced cloud-based prediction capabilities directly to the SAMSON interface, you’re equipped with tools that allow you to stay focused on science while minimizing technical overhead. Try it today and transform the way you approach biomolecular design.
To learn more about how to use AlphaFold-2 and other prediction services on SAMSON, visit the official documentation page.
Note: SAMSON and all SAMSON Extensions are free for non-commercial use. Download SAMSON at https://www.samson-connect.net.