Flexible image registration for the identification of best fitted protein models in 3D-EM maps

In this work we propose an image registration algorithm to automatically fit protein atomic domain models into medium-resolution three-dimensional electron microscopy reconstructions (3D-EM map). The approach employs a flexible registration algorithm whose optimizer controls the generation of stereo-chemically correct models from a given reference domain belonging to a super-family of proteins. The proposed algorithm generates models automatically in the correct direction until the optimizer converges to the best fitted model. A local gradient optimizer is employed for this task. Mutual Information is used as an alternative to Cross Correlation Coefficient. An additional rigid registration that uses a local gradient optimization is applied between each generated model and the 3D-EM map.

• Type: Conference
• Year: 2008
• Where: ISBI
• Authors: Andrés Santos, Carlos Oscar Sánchez Sorzano, José María Carazo, Julian Atienza-Herrero, Laura Fernandez-de-Manuel, María J. Ledesma-Carbayo
• Keywords: Algorithm Generates Models, Flexible Registration Algorithm, ISBI 2008, Local Gradient Optimizer, Medical Imaging