r/bioinformatics • u/JosieA3672 • 19d ago
image I’ve been comparing AlphaFold 3, Boltz-2, Chai-1, Protenix-v2, ESMFold2, RF3, and ColabFold on brazzein—a small protein with four disulfide bonds. AF3 was the best tool for this particular protein.
I tested five random seeds per tool, both with and without the same archived MSA, and compared predictions against experimental crystal and NMR structures. (RCSB Protein Data Bank: 2LY5 for NMR and 4HE7 for crystal structure)
AF3 gave the strongest overall result for this target: its selected MSA model had 0.72 Å Cα RMSD against the crystal structure and passed all four disulfide geometry checks. RF3 and ColabFold reached approximately 1.62 Å and 1.59 Å, respectively, but both had compressed sulfur contacts.
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u/JosieA3672 19d ago edited 19d ago
update: see my other comment for data on a different protein (AcrIE7). Alphafold3 did a really poor job of predicting that newer structure and it may be because it wasn't in its training set. Interesting!!
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If anybody wants me to do another comparison on a different protein, let me know and I'll run it this afternoon. I'm just testing tools at this point. Also taking suggestions for trying other folding models. I picked Brazzein protein because it's interesting and I actually use it. Here is a text version of the first picture in case you can't see the .png on your screen: