A machine learning method for disulfide bond engineering site prediction based on structures
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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
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.
Annotating cysteines part of disulfides and metal binding sites in AlphaFold2 predictions
This thesis presents Dibby, a program toolkit for disulphide bond mapping in proteins from tandem mass spectrometry data.
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