Interesting. Has someone similarly looked at whether AlphaFold predicts 
disulfide bridges?

Guillaume


On 13 Jul 2023, at 15:12, Randy John Read 
<rj...@cam.ac.uk<mailto:rj...@cam.ac.uk>> wrote:

I’m not sure about other methods, but AlphaFold does predict peptides in both 
cis and trans configurations. In a recent paper, Osnat Herzberg and John Moult 
show that it was pretty successful in predicting proline cis-peptides, among 
the novel structures in the CASP15 set of targets 
(https://www.pnas.org/doi/10.1073/pnas.2221745120).

For non-proline cis-peptides, I’m not aware of published work but Tristan Croll 
has shown me examples of correctly-predicted non-proline cis-peptides, 
including cases where some of the related structures in the PDB have an 
incorrect trans configuration. This implies that AlphaFold is not slavishly 
reproducing what it has seen during training.

Best wishes,

Randy Read

On 13 Jul 2023, at 13:56, Oliviero Carugo 
<oliviero.car...@univie.ac.at<mailto:oliviero.car...@univie.ac.at>> wrote:

Does anybody know if cis-peptides are predicted by the AI tools (AlphaFold2, 
ColabFold, or ESM-2)?

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Randy J. Read
Department of Haematology, University of Cambridge
Cambridge Institute for Medical Research     Tel: +44 1223 336500
The Keith Peters Building
Hills Road                                                       E-mail: 
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