A machine learning method for disulfide bond engineering site prediction based on structures
-
Updated
Apr 26, 2021 - Python
A machine learning method for disulfide bond engineering site prediction based on structures
A disulfide bond characterisation tool for HCD tandem mass spectrometry data of a known protein
Annotating cysteines part of disulfides and metal binding sites in AlphaFold2 predictions
Desarrollo de un script para la predicción de potenciales puentes disulfuro en proteínas a partir del archivo PDB. Este proyecto está comprendido dentro de la asignatura 'Bioinformática Estructural' del Máster en Bioinformática de la Universitat de València.
This thesis presents Dibby, a program toolkit for disulphide bond mapping in proteins from tandem mass spectrometry data.
Add a description, image, and links to the disulfide-bond topic page so that developers can more easily learn about it.
To associate your repository with the disulfide-bond topic, visit your repo's landing page and select "manage topics."