Predicting the structure of proteins is a common challenge for molecular modelers. With AlphaFold-2 embedded in the SAMSON platform, this task has become both accessible and efficient. This blog post provides a practical guide on how to predict protein structures using AlphaFold-2 in SAMSON, allowing you to focus on your research goals instead of technical hurdles.
Why Use AlphaFold-2 in SAMSON?
AlphaFold-2 is renowned for its high accuracy in structure prediction. Integrated with SAMSON’s user-friendly environment, you gain access to an intuitive process while benefiting from powerful cloud computing resources, including A100 GPUs for faster calculations. Results can be seamlessly viewed within SAMSON or via your online account on SAMSON Connect.
Getting Started: Step-by-Step Guide
Follow these steps to predict protein structures with AlphaFold-2:
- Access the service: In SAMSON, navigate to
Home > Predictand select the AlphaFold-2 service. - Upload FASTA files: Input one or more FASTA files containing the sequences you want to analyze.
- Select a model and database: Choose the desired AlphaFold-2 model, such as monomer or multimer, and specify the database for multiple sequence alignment, ensuring the platform can provide the most relevant results.
- Start the prediction: Once configured, click Start prediction. Calculations will proceed in the cloud, leveraging secure connections to safeguard your data.
What to Expect from the Results
After your computation is complete, results can be viewed within SAMSON under Interface > Cloud jobs, or via SAMSON Connect > Account > Jobs. Importantly, if pLDDT values are included in the predicted structure files, SAMSON will automatically colorize the structures based on these confidence scores, making it easier to interpret your results visually.
Plan Your Computational Resources
Calculations with AlphaFold-2 vary in cost depending on the cloud machine you choose. SAMSON supports high-performance configurations, such as instances equipped with A100 GPUs, enabling faster and more detailed computations. For convenience, researchers can contact SAMSON Connect to request additional computing credits or purchase them via this link. This flexibility ensures you can scale your projects according to their needs.
Publication and Citation
If your research utilizes AlphaFold-2 and leads to publications, ensure to cite the foundational AlphaFold paper, Jumper et al. (2021), along with the AlphaFold-Multimer paper if relevant. Proper attribution acknowledges the original developers and supports the integrity of research within the molecular modeling community.
Learn More
By integrating AlphaFold-2 into SAMSON, what was once a cumbersome process becomes part of an intuitive workflow tailored to molecular researchers. To delve deeper into the specifics, visit the official SAMSON documentation page: AlphaFold-2 Documentation.
SAMSON and all SAMSON Extensions are free for non-commercial use. You can download SAMSON at https://www.samson-connect.net.