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» Agent-based protein structure prediction
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ISMIS
2005
Springer
15 years 5 months ago
A Machine Text-Inspired Machine Learning Approach for Identification of Transmembrane Helix Boundaries
In this paper, we adapt a statistical learning approach, inspired by automated topic segmentation techniques in speech-recognized documents to the challenging protein segmentation ...
Betty Yee Man Cheng, Jaime G. Carbonell, Judith Kl...
BMCBI
2010
112views more  BMCBI 2010»
15 years 17 hour ago
Orientation-dependent backbone-only residue pair scoring functions for fixed backbone protein design
Background: Empirical scoring functions have proven useful in protein structure modeling. Most such scoring functions depend on protein side chain conformations. However, backbone...
Andrew J. Bordner
BMCBI
2006
137views more  BMCBI 2006»
14 years 12 months ago
A maximum likelihood framework for protein design
Background: The aim of protein design is to predict amino-acid sequences compatible with a given target structure. Traditionally envisioned as a purely thermodynamic question, thi...
Claudia L. Kleinman, Nicolas Rodrigue, Céci...
BMCBI
2010
123views more  BMCBI 2010»
15 years 14 hour ago
An improved classification of G-protein-coupled receptors using sequence-derived features
Background: G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structur...
Zhen-Ling Peng, Jian-Yi Yang, Xin Chen
ECCB
2008
IEEE
15 years 6 months ago
Connect the dots: exposing hidden protein family connections from the entire sequence tree
Motivation: Mapping of remote evolutionary links is a classic computational problem of much interest. Relating protein families allows for functional and structural inference on u...
Yaniv Loewenstein, Michal Linial