Predict protein structures from FASTA sequences using the AlphaFold2 model.
npx skills add https://github.com/guanxiaol/open-science --skill alphafold2
Please help me install this Agent Skill. Skill: alphafold2 Source: https://github.com/guanxiaol/open-science/tree/main/runtime/skills/alphafold2 Command: npx skills add https://github.com/guanxiaol/open-science --skill alphafold2
This Skill addresses the challenge of predicting protein structures, which is crucial for various biological and medical applications.
Run the AlphaFold2 prediction for the sequence in 'input.fasta' and output the results to 'out'.
High-intent search queries and answers about installing and using this skill.
To predict protein structures, run AlphaFold2 on an input.fasta file to generate 3D models. The Skill utilizes the AlphaFold2 model to output structural predictions to a specified directory.
Yes, a GPU is required for efficient protein structure prediction using AlphaFold2. The computational demands of the AlphaFold2 model necessitate GPU acceleration to process sequences effectively.
Yes, AlphaFold2 validates designed protein sequences using self-consistency metrics like pLDDT, ipTM, and RMSD. These metrics assess the structural confidence and accuracy of your predicted models.
AlphaFold2 performs quick protein structure prediction by running multiple sequence alignment (MSA) using the public MMseqs2 server. This MSA-backed approach accelerates the prediction process for your sequences.
AlphaFold2 relies on the public ColabFold MSA server for multiple sequence alignment, meaning predictions depend on server availability. This external dependency may impact processing speed during high-traffic periods.
Yes, AlphaFold2 is suitable for molecular biology research and drug discovery. It accurately predicts protein structures, providing essential structural insights for designing experiments and therapeutics.
jackspaceParse and write FASTA, GenBank, FASTQ, and PDB files with Biopython.
biomaps-infraRetrieve AlphaFold protein structures by UniProt ID and download PDB/mmCIF files.
PKU-YuanGroupPredict protein structures for monomers and multimers with AlphaFold2.
NVIDIA-BioNeMoGenerate multiple sequence alignments and structural templates for protein sequences.
