2007
DOI: 10.1007/s00453-007-0151-y
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Toward Unsupervised Segmentation of Semi-Rigid Low-Resolution Molecular Surfaces

Abstract: In this paper we study a particular type of surface segmentation problem motivated by molecular biology applications. In particular, two input surfaces are given, coarsely modeling two different conformations of a molecule undergoing a semi-rigid deformation. The molecule consists of two subunits that move in a roughly rigid manner. The goal is to segment the input surfaces into these semi-rigid subcomponents. The problem is closely related to non-rigid surface registration problems, although considering only … Show more

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Cited by 1 publication
(2 citation statements)
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“…In order to understand the entire interaction, it is necessary to find correspondences between these two snapshots and reconstruct how one deforms to the other. In [1], we consider the following problem. Assume that given two arbitrarily oriented surfaces A and B (corresponding to two conformations of the same protein) undergoes some hinge motion, which is one of the most popular type of macromolecular motions.…”
Section: Feature Identification and Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to understand the entire interaction, it is necessary to find correspondences between these two snapshots and reconstruct how one deforms to the other. In [1], we consider the following problem. Assume that given two arbitrarily oriented surfaces A and B (corresponding to two conformations of the same protein) undergoes some hinge motion, which is one of the most popular type of macromolecular motions.…”
Section: Feature Identification and Applicationsmentioning
confidence: 99%
“…To understand molecular structures and study molecular interaction, our research focuses on developing novel geometric and topological methods to describe [2, 4, 5, 9, 10, 11], to extract [1,2,7,8,12], and to visualize [6, 13] shape features for molecular data.…”
Section: Technical Progress and Accomplishmentsmentioning
confidence: 99%