Oligomers: both MolScribe and OSRA succeeded in predicting some cyclic peptides correctly, even when present as multi-structure images as shown in the image (WO-2021090855-A1_image_1925.tif (S3 in the supplementary material). As OSRA is not rotation invariant, it was useful to rotate these images clockwise by 90 degrees to obtain correct predictions by OSRA. When clipping one structure of the four, and processing this resulting cyclic peptide image, DECIMER does not recognize this molecule as a single structure but dissects it into 2 independent partial structures (Fig. , supplementary image S4), while OSRA and MolScribe both predict this highly complex structure, including its stereochemistry, in a correct way. This structure has a molecular weight of 1416,18 Dalton, which means that also larger small molecules can be predicted well using MolScribe and OSRA. Both programs produce MOL file output formats with 3D coordinates that try to mimic the original image -a useful feature that allows a faster comparison of prediction results. However, when doubling the size of the molecule by creating a 2830,34 Dalton large dimer of the shown cyclic peptide (see supplementary material, image S5), MolScribe throws an error while OSRA still predicts the respective structure well. MolScribe is resizing the image to 384 X 384 resolution for both training and inference, we suspect that this will reduce the needed information to a degree that large molecules will not be predicted correctly as a consequence.