CSI:FingerID
A molecular structure identification tool developed by the Böcker group. It uses machine learning to map MS/MS spectra to molecular fingerprint space, then retrieves candidate molecular structures from a database using those fingerprints. It is a representative method in computational mass spectrometry.
Timeline (last 90 days)
CSI:FingerID is a tool developed by the Böcker group whose core idea is to use a machine learning model to map MS/MS spectra to molecular fingerprint space, and then retrieve candidate structures from a database via fingerprints.
The two-stage pipeline of spectrum → fingerprint → structure has become the standard paradigm in the field of MS/MS structure identification.
All Facts (2)
CSI:FingerID is a tool developed by the Böcker group whose core idea is to use a machine learning model to map MS/MS spectra to molecular fingerprint space, and then retrieve candidate structures from a database via fingerprints.
50%UnverifiedThe two-stage pipeline of spectrum → fingerprint → structure has become the standard paradigm in the field of MS/MS structure identification.
50%