# What is the difference between Assignment and Prediction?

I am absolutely new to Structural Bioinformatics (I only started last week). I am working on the secondary structure assignment/prediction (actually I am not sure) of proteins using ML.

When it comes to protein analysis, most of the books or research papers talk about protein structure Prediction:

https://bip.weizmann.ac.il/course/structbioinfo/pdf/SecondaryStructurePrediction_WIS.pdf

Only a handful of books or articles talk about protein structure Assignments:

https://www.biorxiv.org/content/10.1101/2021.02.02.429329v1

Can anyone tell me what is the basic difference between Assignment and Prediction?

Kindly explain with examples.

• Do you have any examples for the use of Protein Structure Assignment? This paper uses the term in the title but they don't particularly distinguish the terminology. Jul 5, 2021 at 5:40

• Assignment: a 3D structure is known and the residues are assigned a secondary structure
• Prediction: an algorithm predicts from linear (primary) sequence what the secondary structure may be —often incorrectly. This can be homology based, covariance, deep learning etc. But most commonly just the vector norm of window residue composition, e.g. proline is never in a helix and helices and sheets have different periodicity (two for a sheet and three and a bit for a helix).