Topic
Protein structure prediction research, explained
8 open-access protein structure prediction studies, each with a flashcard deck and a quiz.
- Do short and long floppy protein regions need separate predictors?
Training one model for short disordered protein regions and another for long ones, then letting a third model blend them, predicted both kinds well where a single model could not.
- Can SVMs predict how membrane proteins sit in the membrane?
A set of support vector machines predicted the full membrane topology correctly for 89% of test proteins, beating earlier methods, though re-entrant helices remained hard.
- Does combining predictors find more protein contacts?
A neural network that learns when to trust three different evolution-based contact predictors, and when to fall back on simpler structural clues, predicts which parts of a protein touch far more accurately than any one method.
- Can topology help neural nets predict how proteins behave?
Summarising 3D protein structures with topological fingerprints lets convolutional networks predict binding strength and mutation effects better than earlier methods, and multi-task learning helps on a small dataset.
- Can an SVM predict which amino acids touch in a folded protein?
A support vector machine using many sequence-derived features predicted residue contacts better than the previous leading method, though accuracy remained low overall.
- Can deep learning judge how good a predicted protein structure is?
A deep belief network that combines existing quality scores ranked predicted protein structures as well as or better than the best single-model methods of its time.
- Which patterns in protein sequence data reveal 3D contacts?
The 'weak' low-variance directions in protein sequence correlations — the ones principal component analysis throws away — turn out to carry most of the information about which residues touch in 3D.
- Do protein structure predictors understand how proteins fold?
The step-by-step paths that modern protein structure predictors take to their answers do not match how real proteins fold, and a protein's length alone predicts folding behaviour better.