MOTIF-EM: an automated computational tool for identifying conserved regions in CryoEM structures.

ABSTRACT:

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We present a new, first-of-its-kind, fully automated computational tool MOTIF-EM for identifying regions or domains or motifs in cryoEM maps of large macromolecular assemblies (such as chaperonins, viruses, etc.) that remain conformationally conserved. As a by-product, regions in structures that are not conserved are revealed: this can indicate local molecular flexibility related to biological activity. MOTIF-EM takes cryoEM volumetric maps as inputs. The technique used by MOTIF-EM to detect conserved sub-structures is inspired by a recent breakthrough in 2D object recognition. The technique works by constructing rotationally invariant, low-dimensional representations of local regions in the input cryoEM maps. Correspondences are established between the reduced represent

SUBMITTER: Saha M 

PROVIDER: S-EPMC2881380 | biostudies-literature | 2010 Jun

REPOSITORIES: biostudies-literature